CN105827963B - Scene-change detecting method and mobile terminal during one kind is taken pictures - Google Patents

Scene-change detecting method and mobile terminal during one kind is taken pictures Download PDF

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CN105827963B
CN105827963B CN201610169640.4A CN201610169640A CN105827963B CN 105827963 B CN105827963 B CN 105827963B CN 201610169640 A CN201610169640 A CN 201610169640A CN 105827963 B CN105827963 B CN 105827963B
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image
pixels
block
matching
topography
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CN105827963A (en
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黄创杰
万美君
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/62—Control of parameters via user interfaces
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/67—Focus control based on electronic image sensor signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/68—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to defects
    • H04N25/683—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to defects by defect estimation performed on the scene signal, e.g. real time or on the fly detection

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

Scene-change detecting method during taking pictures the present invention provides one kind, belongs to field of communication technology, comprising: obtains the first preview image and the second preview image of camera acquisition；And according to first preview image and the second preview image, first partial image and the second topography are determined；Then gray value matching is carried out to the first partial image and the second topography, determines whether scene changes；Wherein, first preview image and the second preview image are Y channel image.Method provided by the invention only needs to carry out matching operation to the topography of preview image, reduces the operand of images match, improves the efficiency of Scene change detection；And, gray value matching is carried out using Y channel data, the complexity of matching operation is further reduced, improves the efficiency of Scene change detection, the problem of it is low to solve image scene variation detection efficiency, Scene change detection can not be carried out during taking pictures quickly, in real time.

Description

Scene-change detecting method and mobile terminal during one kind is taken pictures
Technical field
Scene-change detecting method and movement are whole during taking pictures the present invention relates to field of communication technology more particularly to one kind End.
Background technique
In mobile terminal during taking pictures or imaging, it is required to the camera acquired image of detection mobile terminal Whether scene changes.For example, when taking pictures or shooting video, in image acquisition procedures, due to camera acquisition Image has occurred scene changes and is frequently necessary to adjust focal length, sensitivity etc..
Currently, the detection method of image scene variation are as follows: the fetching portion image corresponding position from continuous image sequence The motion vector information at place, according to the variation of the change-detection images scene of motion vector information；Or from continuous image sequence The essential attribute information of middle fetching portion image, such as histogram of gradients, hue histogram, according to category each between the image of acquisition Whether the matching degree detection image scene of property changes.Existing image scene detection method is computationally intensive, leads to scene detection Low efficiency, be unable to satisfy mobile terminal user it is quick, in real time during taking pictures carry out Scene change detection demand.
Summary of the invention
The embodiment of the present invention provides scene-change detecting method and mobile terminal during one kind is taken pictures, to solve existing skill It is computationally intensive due to calculating the information such as motion vector or histogram of gradients, hue histogram in art, cause detection efficiency low, The problem of can not carrying out Scene change detection during taking pictures quickly, in real time.
In a first aspect, scene-change detecting method during taking pictures the embodiment of the invention provides one kind, applied to having The mobile terminal of camera, it is described take pictures during scene-change detecting method include:
Obtain the first preview image and the second preview image of camera acquisition；
According to first preview image and the second preview image, first partial image and the second topography are determined；
Gray value matching is carried out to the first partial image and the second topography, determines whether scene changes；
Wherein, first preview image and the second preview image are Y channel image.
Second aspect, the embodiment of the invention also provides a kind of mobile terminal, including camera, the mobile terminal is also wrapped It includes:
Image collection module, for obtaining the first preview image and the second preview image of camera acquisition；
Image determining module, for obtaining the first preview image and the second preview graph that module obtains according to described image Picture determines first partial image and the second topography；
Scene changes determining module, first partial image and the second Local map for being determined to described image determining module As carrying out gray value matching, determine whether scene changes；
Wherein, first preview image and the second preview image are Y channel image.
In this way, in the embodiment of the present invention, by the first preview image and the second preview image that obtain camera acquisition；And According to first preview image and the second preview image, first partial image and the second topography are determined；Then to described First partial image and the second topography carry out gray value matching, determine whether scene changes；Wherein, described first is pre- It lookes at image and the second preview image is Y channel image.Compared with prior art, the embodiment of the present invention is only needed to preview image Topography carry out matching operation, reduce the operand of images match, improve the efficiency of Scene change detection；Also, Gray value matching is carried out using Y channel data, the complexity of matching operation is further reduced, improves Scene change detection Efficiency, can quickly, Scene change detection is carried out in previews of taking pictures in real time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, needed in being described below to the embodiment of the present invention Attached drawing to be used is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, For those of ordinary skill in the art, without any creative labor, it can also obtain according to these attached drawings Obtain other attached drawings.
Fig. 1 is the flow chart of the scene-change detecting method of the embodiment of the present invention one；
Fig. 2 is that block of pixels divides schematic diagram in the scene-change detecting method of the embodiment of the present invention one；
Fig. 3 is that the scene-change detecting method topography of the embodiment of the present invention one carries out the matched flow chart of gray value；
Fig. 4 is one of the structure chart of mobile terminal of the embodiment of the present invention two；
Fig. 5 is the two of the structure chart of the mobile terminal of the embodiment of the present invention two；
Fig. 6 is the structure chart of the mobile terminal of the embodiment of the present invention three；
Fig. 7 is the structure chart of the mobile terminal of the embodiment of the present invention four.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts Example, shall fall within the protection scope of the present invention.
Embodiment one:
Scene-change detecting method during one kind is taken pictures is present embodiments provided, applied to the mobile end with camera End, as shown in Figure 1, the method comprising the steps of 101 to step 103.
Step 101, the first preview image and the second preview image of camera acquisition are obtained.
The data that image is obtained in the embodiment of the present invention are the original images of smart phone acquisition through past bad point, gamma school Just, after the image procossings such as color correction, color enhancing, denoising, the image data of obtained yuv format, and extract Y channel image Data are matched.Wherein, first preview image and the second preview image are Y channel image.
Below to this hair by taking the application scenarios of focusing in the process of taking pictures for applying the present invention to smart phone as an example Bright technical solution is described in detail.
After application is taken pictures in smart phone starting, preview mode will start to show the image of acquisition, then to acquisition Object auto-focusing in image, or some personage in image or triggering focusing manually is realized when object when the user clicks. In previews, it often will appear the case where object being taken removes focal range, only in real-time detection previews Scene changes in the image of acquisition could adjust focal length in time.
The present invention in the specific implementation, selects the first preview image and the second preview image to be detected, wherein institute first It states the first preview image and second preview image is selected from the image sequence of camera acquisition, first preview image Frame number is less than second preview image.In the specific implementation, for still image, it can choose first to defocused preview Frame image as the first preview image for judging scene changes, and in real-time selection previews subsequent acquisition current frame image Judge that image scene is by comparing the variation of the second preview image and the first preview image content as the second preview image It is no to change.Focal length is further adjusted according to the judging result that image scene changes in time convenient for taking pictures to apply.Usually right After coke starts, the first frame of preview indicates that user wants the scene of shooting, therefore the present embodiment uses the first frame data of preview Images match is carried out with the present frame of preview.For the content change speed taken pictures than in faster application scenarios, as video is clapped It takes the photograph, the picture frame being spaced between second preview image and first preview image of selection is less than preset quantity.Specifically When implementation, the picture frame being spaced between second preview image and first preview image can be 0, the preset quantity It is arranged according to the detection demand of application scenarios.Image is carried out using the two frame preview images that interval is less than preset quantity picture frame Match, convenient for finding scene changes in time in dynamic scene.
Step 102, according to first preview image and the second preview image, first partial image and the second part are determined Image.
When it is implemented, the time of the too big increased matching operation of meeting of preview image data, in order to reduce images match Operand, improve scene detection efficiency, it is preferable that selection the first preview image and the second preview image part image data into Therefore row matching first according to first preview image and the second preview image, determines first partial image and the second part Image.The first partial image is the image district of the pre-set dimension centered on the center pixel of first preview image Domain, second topography are the image-region of the pre-set dimension centered on the center pixel of second preview image, Wherein, the pre-set dimension is c × d block of pixels, wherein c and d is positive integer.As shown in Fig. 2, with smart phone acquisition For preview image 201, using the upper left corner of the image as coordinate origin, the coordinate of the center pixel p of the image, with imago in this Centered on plain p, a rectangular area 202 is determined, the width of the rectangular area is d pixel, a height of c pixel, wherein c and d are Positive integer, also, d is less than the pixel wide of preview image, and c is less than the pixels tall of preview image.Preferably, according to existing skill The timeliness requirement of the resolution ratio and scene detection of the image that smart phone acquires in art, sets 480, c for d and is set as 640, The first preview image and the second preview image center size is selected to carry out scene for the image data in 640 × 480 region Variation detection, is not only suitable for major applications scene, and can accelerate the calculating speed of image scene detection.
In other embodiments of the invention, the first of the first preview image can also be determined according to the manual setting of user Second topography of topography and the second preview image, specifically: the first partial image is first preview graph The area image specified of user as in, second topography be in second preview image with the first partial image The image in corresponding position region.For example, touch gestures of the detection user on the first preview image, true according to the touch gestures Determine user and specify region, first partial image is the image area image that user specifies in region in first preview image Position and size according to touch gestures determine, when it is implemented, touch gestures can for two o'clock sliding or 3 points sliding etc.；Again For example, clicking operation of the detection user on the first preview image determines pre-set dimension area centered on the position of clicking operation Domain, first partial image are the image in first preview image in pre-set dimension region；When it is implemented, can also pass through Configuration interface is set, guides the specified region of user setting Scene change detection, then selects the finger in the first preview image The image in region is determined as first partial image.The present invention to the specific method for specified region to be arranged without limitation.It determines The area image that user specifies matches, and more targetedly, can be improved the accuracy rate of Scene change detection.
After determining first partial image according to the region that user specifies, second topography is second preview In image with the image in the first partial image corresponding position region.
When it is implemented, the specified region can be rectangle, or other regular shapes such as circles.In order to calculate Convenient, following embodiment is illustrated technical solution using specified region as rectangular area.
Step 103, gray value matching is carried out to the first partial image and the second topography, determines whether scene is sent out Changing.
When it is implemented, the present invention is that basic unit carries out image comparison with block of pixels.As shown in figure 3, described to institute It states first partial image and the second topography carries out gray value matching, the step of whether scene changes, including step determined Rapid 1031 to step 1037.
Step 1031, the first partial image and the second topography are divided into a × b block of pixels respectively.
Wherein, multiple a × b are spaced between each a × b block of pixels in the first partial image and the second topography Block of pixels, a and b are positive integer.
In step 1031, the first partial image and the second topography are divided into a × b block of pixels respectively, In, multiple a × b block of pixels are spaced between each a × b block of pixels in the first partial image and the second topography.Its In, a and b are positive integer, and a and b may be the same or different.Usual image optimization processing is needed using hardware-accelerated, When carrying out hardware register read-write, register manipulation is as unit of byte, corresponding 8 bits of a byte, in order to further Calculating speed is improved, in the embodiment of the present invention, the considerations of comprehensive operand and subsequent optimization, what a and b selection can be divided exactly by 8 Positive integer, such as a=b=8, then the size of block of pixels is a × b=64 pixel.
The first partial image and the second topography are divided into a × b block of pixels respectively, wherein the first game A specific embodiment party of multiple a × b block of pixels is spaced between each a × b block of pixels in portion's image and the second topography Formula is: first partial image and the second topography are respectively divided into second quantity a × b block of pixels of arranged adjacent；It presses The second quantity a × b block of pixels divided by the first partial image adopt according to predeterminated position distribution rule Sample obtains first quantity a × b block of pixels, and, according to the predeterminated position distribution rule to by second topography It divides obtained second quantity a × b block of pixels progress down-sampling and obtains first quantity a × b block of pixels；Wherein, described One quantity is less than second quantity.Below with specified region for 640 × 480, for block of pixels is 8 × 8 block of pixels, further Illustrate the determination method of the first quantity reference pixel block and block of pixels to be compared in preferred embodiment.
As shown in Fig. 2, first by the first partial image 202 and of the first preview image 201 and the second preview image 203 Two topographies 204 are respectively divided into the block of pixels of the second quantity pre-set dimension of arranged adjacent.By first partial image 202 According to from left to right, sequence from top to bottom is divided into 8 × 8 block of pixels of arranged adjacent, as block of pixels 2021,2022, 2023,2024,4800 block of pixels (i.e. second are obtained in available 80 row block of pixels, 60 block of pixels of every row arranged adjacent 4800) quantity is equal to；According to same division methods, the second topography 204 is divided, obtains 4800 block of pixels, Such as block of pixels 2041,2042,2043,2044.Wherein, the block of pixels and the second topography that first partial image divides 204 positions for dividing obtained block of pixels correspond, and such as: the position of block of pixels 2021 and block of pixels 2041 is corresponding, block of pixels 2023 and block of pixels 2043 position it is corresponding.
Then, the second obtained quantity is divided to by the first partial image 202 according to predeterminated position distribution rule Block of pixels carries out down-sampling and obtains the first quantity block of pixels to be matched, such as the block of pixels 2021,2023,2024 in Fig. 2, with And the second obtained quantity block of pixels is divided to by second topography 204 according to the predeterminated position distribution rule It carries out down-sampling and obtains the first quantity block of pixels to be compared, such as the block of pixels 2041,2043,2044 in Fig. 2.Wherein, in advance If position distribution rule includes: to be spaced E block of pixels in every row block of pixels to select among a block of pixels or each column block of pixels E, interval block of pixels in a block of pixels or every row block of pixels is selected to select a block of pixels and each column picture every F block of pixels It is spaced F block of pixels in plain block and selects a block of pixels.With predeterminated position distribution rule are as follows: be spaced E picture in every row block of pixels Plain block selects in a block of pixels and each column block of pixels for block of pixels one block of pixels of selection of F, interval, the meter of the first quantity M It is as follows to calculate formula:
Wherein, M is pixel number of blocks to be matched, and W is the width value of the first partial image, and L is the first game The length value of portion's image, the block of pixels number that E is spaced in the direction of the width between each a × b block of pixels, F are each a × b The block of pixels number being spaced in the longitudinal direction between block of pixels, a are the width of a × b block of pixels, and b is a × b picture The length of plain block, E and F may be the same or different.When it is implemented, if the equal value of E and F is 3；Predeterminated position distribution rule Then are as follows: be spaced E block of pixels in every row block of pixels and select F, interval block of pixels selection one in a block of pixels and each column block of pixels A block of pixels, then according to predeterminated position distribution rule to 4800 8 × 8 pixels divided by the first partial image Block carries out down-sampling and obtains 300 block of pixels to be matched.Similarly, according to same predeterminated position distribution rule to by described 4800 8 × 8 block of pixels that two topographies divide carry out down-sampling and obtain 300 block of pixels to be matched.In order to The calculation amount of images match is reduced, while not influencing the accuracy of scene detection, it is preferable that the E and F are less than 10.
Determining another embodiment for matched block of pixels is: respectively by the first partial image and the second part Image is divided into a × b block of pixels, wherein each a × b block of pixels in the first partial image and the second topography it Between be spaced multiple pixels.Specific embodiment is: establishing plane as coordinate origin using the upper left corner of the first partial image Rectangular coordinate system carries out the down-sampling of the 5th number of pixels point of interval to the pixel in the first partial image, and with sampling Obtained pixel determines M a × b block of pixels as left upper apex (or central point), wherein the 5th quantity is greater than a and b, institute Stating the 5th quantity is preferably the positive integer that can be divided exactly by 8.By taking the 5th quantity is 32 as an example, if a and b is 8, for 640 × 480 First partial image divided, the quantity of 8 × 8 obtained block of pixels is 300, i.e. M=300.Using with divide first game Second topography is divided into M block of pixels to be matched being spaced apart from each other by the identical method of portion's image.
The mode of two kinds of determination a × b block of pixels to be matched is only listed above, can also be determined by other methods Block of pixels to be matched is used for Scene change detection to extract the data of block of pixels, and this will not be repeated here by the present invention.It should be understood that Above embodiments should not be used as limitation of the invention merely to be easier to understand the solution of the present invention and easy to carry out.
The embodiment of the present invention, by the first preview image and the second preview image that obtain camera acquisition；And according to First preview image and the second preview image, determine first partial image and the second topography；Then to described first Topography and the second topography are divided into a × b block of pixels, and part of block of pixels is selected to carry out gray value matching, really Determine whether scene changes, further reduce the complexity of matching operation, improves the efficiency of Scene change detection.
Step 1032, according to first preview image, images match threshold value is calculated.
Before carrying out pixel Block- matching, need that images match threshold value is calculated according to first preview image.Tool When body is implemented, there are two types of calculation: the first, according to the average gray of first preview image and the block of pixels Size calculates matching threshold；Second, matching threshold is calculated according to the average gray of first preview image.
The first is described according to first preview image, the mode of images match threshold value is calculated, comprising: to described The gray value of all pixels of first preview image carries out operation of averaging, and obtains average gray；Obtain a × b pixel The Pixel Dimensions value of block；According to formulaImages match threshold value is calculated, wherein y is the figure As matching threshold, size is the Pixel Dimensions value of a × b block of pixels, and avg is the average gray.
Second described according to first preview image, the mode of images match threshold value is calculated, comprising: to described The gray value of all pixels of first preview image carries out operation of averaging, and obtains average gray；According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and avg is the average gray. Wherein, the calculation formula of average gray is as follows:
Wherein, W' is the width value of first preview image, and L' is the length value of first preview image, and p (j) is Position is the gray value of the pixel of j in first preview image, and avg is the average gray value of the first preview image.
Step 1033, according to the first partial image, matching times M is calculated.
Before carrying out pixel Block- matching, it is also necessary to according to the first partial image, matching times M be calculated.Tool When body is implemented, firstly, obtaining the length value L and width value W of first partial image；Matching times M is drawn equal to first partial image The calculation formula of the quantity for a × b block of pixels got, matching times M is as follows:
Wherein, M is the matching times, and W is the width value of the first partial image, and L is the first partial image Length value, the block of pixels number that E is spaced in the direction of the width between each a × b block of pixels, F be each a × b block of pixels Between the block of pixels number that is spaced in the longitudinal direction, a is the width of a × b block of pixels, and b is a × b block of pixels Length, E and F may be the same or different.
Step 1034, it according to each a × b block of pixels in the first partial image and the second topography, determines non- The number of matched pixel block.
It is described according to described first if the matching threshold is calculated using above-mentioned first way in above-mentioned steps 1034 Each a × b block of pixels in topography and the second topography, the step of determining the number of non-matching block of pixels, comprising: point Total gray value of each a × b block of pixels in the first partial image and the second topography is not calculated；By the first game Total gray value of a × b block of pixels of opposite position carries out seeking difference operation in portion's image and the second topography, obtains total ash Angle value difference；The absolute value of total gray value difference is compared with described image matching threshold；When total gray value When the absolute value of difference is greater than described image matching threshold, then the number of non-matching block of pixels adds one.
If 300 block of pixels to be matched and the second topography of first partial image have been determined in step 1031 300 block of pixels to be matched, the then matching times being calculated in step 1033 are 300, then will respectively in step 1034 Calculate total gray value of 300 block of pixels of the second topography of total sum of the grayscale values of 300 block of pixels of first partial image； Then, corresponding position in the second topography of total sum of the grayscale values of 300 block of pixels is calculated separately in the first partial image The difference of the total gray value for the block of pixels set obtains total gray value difference.
If with G1(i) total gray value of block of pixels i in first partial image is indicated, with G2(i) it indicates in the second topography Total gray value of block of pixels i, i are the station location marker of block of pixels, G1(i) and G2(i) first partial image and second game are respectively indicated Total gray value of the corresponding block of pixels in position in portion's image.It will be corresponding in the first partial image and the second topography Total gray value of a × b block of pixels of position carries out seeking difference operation, obtains total gray value difference, specifically: use formula D (i) =G1(i)-G2(i) a × b block of pixels of opposite position in the first partial image and the second topography is calculated separately The difference of total gray value.If having determined in step 1031 has 300 a × b block of pixels in first partial image, i.e., in step 1033 Determining matching times M=300 will obtain 300 total gray value difference D (i), wherein 0 < i≤300.Then, it will obtain respectively The absolute values of the total gray value differences of M be compared with described image matching threshold；It is absolute when total gray value difference When value is greater than described image matching threshold, then the number of non-matching block of pixels adds one, finally, obtaining of non-matching block of pixels Number.
It is described according to described first if the matching threshold is calculated using the above-mentioned second way in above-mentioned steps 1034 Each a × b block of pixels in topography and the second topography, the step of determining the number of non-matching block of pixels, comprising: point The average gray value of each a × b block of pixels in the first partial image and the second topography is not calculated；By described first The average gray value of a × b block of pixels of opposite position carries out seeking difference operation in topography and the second topography, obtains Average gray value difference；The absolute value of the average gray value difference is compared with described image matching threshold；When described When the absolute value of average gray value difference is greater than described image matching threshold, then the number of non-matching block of pixels adds one.If in step Determined in rapid 1031 first partial image 300 block of pixels to be matched and 300 of the second topography it is to be matched Block of pixels, the then matching times being calculated in step 1033 are 300, then first partial figure will be calculated separately in step 1034 The average gray value of 300 block of pixels of the average gray value and the second topography of 300 block of pixels of picture；Then, respectively Calculate in the first partial image pixel of opposite position in the average gray value and the second topography of 300 block of pixels The difference of the average gray value of block obtains average gray value difference.
If withIndicate the average gray value of block of pixels i in first partial image, withIndicate the second topography The average gray value of middle block of pixels i, i are the station location marker of block of pixels,WithRespectively indicate first partial image and The average gray value of the corresponding block of pixels in position in two topographies.It will be in the first partial image and the second topography The average gray value of a × b block of pixels of opposite position carries out seeking difference operation, obtains average gray value difference, specifically: it adopts Use formulaCalculate separately opposite position in the first partial image and the second topography The difference of the average gray value of a × b block of pixels.If having determined in step 1031 has 300 a × b pixels in first partial image Block, i.e., the matching times M=300 determined in step 1033, will obtain 300 average gray value difference D (i), wherein 0 < i≤ 300.Then, the absolute value of M average gray value difference of acquisition is compared with described image matching threshold respectively；Work as institute When stating the absolute value of average gray value difference greater than described image matching threshold, then the number of non-matching block of pixels adds one, finally, Obtain the number of non-matching block of pixels.
Step 1035, judge whether the number of non-matching block of pixels is greater thanIf so, 1036 are thened follow the steps, if it is not, Then follow the steps 1037.
Finally, further matching result is judged, if not the number of matched pixel block is greater than the default of matching times Ratio, it is determined that the scene of second preview image and first preview image changes, and thens follow the steps 1036；It is no Then, it determines that second preview image is consistent with the scene of first preview image, thens follow the steps 1037.Wherein, described Preset ratio value is between 0~1, and closer to 1, scene changes amplitude needs are bigger to be just detected preset ratio value Come, in order to guarantee the sensitivity of scene detection, it is preferred that the preset ratio value that the present embodiment uses for
Step 1036, when the number of non-matching block of pixels is greater thanWhen, it is determined that scene changes.
When the number of non-matching block of pixels is greater thanWhen, illustrate that non-matching block of pixels alreadys exceed the default of total block of pixels Ratio, it is determined that the scene of the first preview image and the second preview image changes.By taking matching times M is equal to 300 as an example, It needs to match 300 block of pixels in the second preview image, if not the number of matched pixel block is more than 100, then Determine that the first preview image and the scene of the second preview image change.
Step 1037, when the number of non-matching block of pixels is less than or equal toWhen, it is determined that scene does not change.
When the number of non-matching block of pixels is less than or equal toWhen, illustrate non-matching block of pixels already less than total block of pixels Preset ratio, it is determined that the scene of the first preview image and the second preview image is consistent.Still it is equal to 300 with matching times M For, that is, it needs to match 300 block of pixels in the second preview image, if not the number of matched pixel block is less than or waits In 100, it is determined that the scene of the first preview image and the second preview image does not change.
Scene-change detecting method during the taking pictures of the embodiment of the present invention passes through the first preview for obtaining camera acquisition Image and the second preview image；And according to first preview image and the second preview image, first partial image and are determined Two topographies；Then gray value matching is carried out to the first partial image and the second topography, determines whether scene is sent out Changing；Wherein, first preview image and the second preview image are Y channel image.Compared with prior art, of the invention Embodiment only needs to carry out matching operation to the topography of preview image, reduces the operand of images match, improves field The efficiency of scape variation detection；Also, gray value matching is carried out using Y channel data, further reduces the complexity of matching operation Degree, improve the efficiency of Scene change detection, can quickly, Scene change detection is carried out in previews of taking pictures in real time； Threshold grayscale is calculated by dynamic, the adaptive matching threshold for adjusting scene detection can be improved the accurate of Scene change detection Property.
Embodiment two:
Correspondingly, in another embodiment of the invention, disclosing a kind of mobile terminal 400, the mobile terminal 400 is wrapped Camera (not shown) is included, as shown in figure 4, the mobile terminal further include:
Image collection module 410, for obtaining the first preview image and the second preview image of camera acquisition；
Image determining module 420, the first preview image and second for obtaining the acquisition of module 410 according to described image are pre- It lookes at image, determines first partial image and the second topography；
Scene changes determining module 430, the first partial image and second for being determined to described image determining module 420 Topography carries out gray value matching, determines whether scene changes.
The data that image is obtained in the embodiment of the present invention are the original images of smart phone acquisition through past bad point, gamma school Just, after the image procossings such as color correction, color enhancing, denoising, the image data of obtained yuv format, and extract Y channel image Data are matched.Wherein, first preview image and the second preview image are Y channel image.
The mobile terminal 400 of the embodiment of the present invention, by the first preview image and the second preview that obtain camera acquisition Image；And according to first preview image and the second preview image, first partial image and the second topography are determined；Then Gray value matching is carried out to the first partial image and the second topography, determines whether scene changes；Wherein, described First preview image and the second preview image are Y channel image.Compared with prior art, the embodiment of the present invention is only needed to pre- Look at image topography carry out matching operation, reduce the operand of images match, improve the efficiency of Scene change detection； Also, gray value matching is carried out using Y channel data, the complexity of matching operation is further reduced, improves scene changes The efficiency of detection, can quickly, Scene change detection is carried out in previews of taking pictures in real time.
When it is implemented, the time of the too big increased matching operation of meeting of preview image data, in order to reduce images match Operand, improve scene detection efficiency, it is preferable that selection the first preview image and the second preview image part image data into Row matching.Select a kind of mode of the topography of preview image are as follows: the first partial image is with first preview image Center pixel centered on pre-set dimension image-region, second topography be in second preview image The image-region of pre-set dimension centered on imago element, wherein the pre-set dimension is c × d block of pixels, wherein c and d are Positive integer.It selects the image data in the region of picture centre to carry out Scene change detection, is not only suitable for major applications scene, It can accelerate the calculating speed of image scene detection again.
Select the another way of the topography of preview image are as follows: the first partial image is first preview graph The area image specified of user as in, second topography be in second preview image with the first partial image The image in corresponding position region.The area image that selection user specifies matches, and more targetedly, can be improved scene change Change the accuracy rate of detection.
When it is implemented, as shown in figure 5, the scene changes determining module 430, further comprises:
Block of pixels division unit 4301, for respectively by described image determining module 420 determine first partial image and Second topography is divided into a × b block of pixels；
Matching threshold computing unit 4302, for obtaining the first preview image that module 410 obtains, meter according to described image Calculation obtains images match threshold value；
Matching times computing unit 4303, the first partial image for being determined according to described image determining module 420, meter Calculation obtains matching times M；
Matching unit 4304, for according to each a × b pixel in the first partial image and the second topography Block determines the number of non-matching block of pixels；
Judge determination unit 4305, the number of the non-matching block of pixels for determining when the matching unit 4304 is greater thanWhen, it is determined that scene changes；And
When the number for the non-matching block of pixels that the matching unit 4304 determines is less than or equal toWhen, it is determined that scene It does not change；
Wherein, multiple a × b are spaced between each a × b block of pixels in the first partial image and the second topography Block of pixels, a and b are positive integer.
Scene changes determining module 430 and its including each unit specific implementation referring to embodiment of the method, herein It repeats no more.
It is matched by part block of pixels in selection first partial image and the second topography, to judge that scene becomes Change, efficiently reduce the operand of images match, improves scene detection efficiency.
In a specific embodiment, the matching threshold computing unit 4302, is further used for: to first preview The gray value of all pixels of image carries out operation of averaging, and obtains average gray；Obtain the pixel of a × b block of pixels Size value；According to formulaImages match threshold value is calculated, wherein y is that described image matches threshold Value, size are the Pixel Dimensions value of a × b block of pixels, and avg is the average gray.
Correspondingly, the matching unit 4304 is further used for: calculating separately out the first partial image and second game Total gray value of each a × b block of pixels in portion's image；By opposite position in the first partial image and the second topography Total gray value of a × b block of pixels carry out seeking difference operation, obtain total gray value difference；By the exhausted of total gray value difference Value is compared with described image matching threshold；When the absolute value of total gray value difference is greater than described image matching threshold When, then the number of non-matching block of pixels adds one.
In another specific embodiment of the invention, the matching threshold computing unit 4302 is further used for: to institute The gray value for stating all pixels of the first preview image carries out operation of averaging, and obtains average gray；According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and avg is the average gray. Correspondingly, the matching unit 4304 is further used for: calculating separately out in the first partial image and the second topography The average gray value of each a × b block of pixels；By a × b of opposite position in the first partial image and the second topography The average gray value of block of pixels carries out seeking difference operation, obtains average gray value difference；By the exhausted of the average gray value difference Value is compared with described image matching threshold；Threshold is matched when the absolute value of the average gray value difference is greater than described image When value, then the number of non-matching block of pixels adds one.
The embodiment of the present invention calculates threshold grayscale by dynamic, and the adaptive matching threshold for adjusting scene detection can Improve the accuracy of Scene change detection.
When it is implemented, the first partial that block of pixels division unit 4301 respectively determines described image determining module 420 The embodiment that image and the second topography are divided into a × b block of pixels can be with are as follows: by first partial image and the second Local map Second quantity a × b block of pixels as being respectively divided into arranged adjacent；According to predeterminated position distribution rule to by the first game Second quantity a × b block of pixels that portion's image divides carries out down-sampling and obtains first quantity a × b block of pixels, and, According to the predeterminated position distribution rule to the second quantity a × b block of pixels divided by second topography into Row down-sampling obtains first quantity a × b block of pixels；Wherein, first quantity is less than second quantity.Matching times etc. In the first quantity.The matching times computing unit 4303, is further used for:
Obtain the length value and width value of first partial image；
According to formulaMatching times M is calculated, wherein M is institute State matching times, W is the width value of the first partial image, and L is the length value of the first partial image, E be each a × The block of pixels number being spaced in the direction of the width between b block of pixels, F are spaced in the longitudinal direction between each a × b block of pixels Block of pixels number, a be a × b block of pixels width, b be a × b block of pixels length.
For different block of pixels division methods, the specific method for calculating matching times might have difference, herein no longer It repeats.
The mobile terminal of the embodiment of the present invention obtains the first preview image and second of camera acquisition by above-mentioned module Preview image；And according to first preview image and the second preview image, first partial image and the second topography are determined； Then a × b block of pixels is divided into the first partial image and the second topography, and part of block of pixels is selected to carry out Gray value matching, to determine whether scene changes, further reduces the complexity of matching operation, improves scene changes The efficiency of detection.
Embodiment three:
Fig. 6 is the block diagram of the mobile terminal of another embodiment of the present invention.Mobile terminal 600 shown in fig. 6 includes: at least One processor 601, memory 602, at least one network interface 604 and user interface 603, component 606 of taking pictures, component of taking pictures 606 include camera.Various components in mobile terminal 600 are coupled by bus system 605.It is understood that total linear system System 605 is for realizing the connection communication between these components.Bus system 605 further includes power supply in addition to including data/address bus Bus, control bus and status signal bus in addition.But for the sake of clear explanation, various buses are all designated as bus in Fig. 6 System 605.
Wherein, user interface 603 may include display, keyboard or pointing device (for example, mouse, trace ball (trackball), touch-sensitive plate, touch screen or Trackpad etc..
It is appreciated that the memory 602 in the embodiment of the present invention can be volatile memory or nonvolatile memory, It or may include both volatile and non-volatile memories.Wherein, nonvolatile memory can be read-only memory (Read- OnlyMemory, ROM), programmable read only memory (ProgrammableROM, PROM), Erasable Programmable Read Only Memory EPROM (ErasablePROM, EPROM), electrically erasable programmable read-only memory (ElectricallyEPROM, EEPROM) dodge It deposits.Volatile memory can be random access memory (RandomAccessMemory, RAM), and it is slow to be used as external high speed It deposits.By exemplary but be not restricted explanation, the RAM of many forms is available, such as static random access memory (StaticRAM, SRAM), dynamic random access memory (DynamicRAM, DRAM), Synchronous Dynamic Random Access Memory (SynchronousDRAM, SDRAM), double data speed synchronous dynamic RAM (DoubleDataRate SDRAM, DDRSDRAM), enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), synchronized links Dynamic random access memory (SynchlinkDRAM, SLDRAM) and direct rambus random access memory (DirectRambusRAM, DRRAM).The memory 602 of system and method described herein be intended to include but be not limited to these and The memory of any other suitable type.
In some embodiments, memory 602 stores following element, executable modules or data structures, or Their subset of person or their superset: operating system 6021 and application program 6022.
Wherein, operating system 6021 include various system programs, such as ccf layer, core library layer, driving layer etc., are used for Realize various basic businesses and the hardware based task of processing.Application program 6022 includes various application programs, such as media Player (MediaPlayer), browser (Browser), input method etc., for realizing various applied business.Realize the present invention The program of embodiment method may be embodied in application program 6022.
In embodiments of the present invention, by the program or instruction of calling memory 602 to store, specifically, can be application The program or instruction stored in program 6022.The behaviour that user uses application program is detected by the touch screen in user interface 603 Make, such as detects the touch gestures of the specified area image of user setting.Processor 601 is used to obtain the first of camera acquisition Preview image and the second preview image；According to first preview image and the second preview image, determine first partial image and Second topography；Gray value matching is carried out to the first partial image and the second topography, determines whether scene occurs Variation；Wherein, first preview image and the second preview image are Y channel image.
The method part that the embodiments of the present invention disclose can be applied in processor 601, or real by processor 601 It is existing.Processor 601 may be a kind of IC chip, the processing capacity with signal.During realization, the above method Each step can be completed by the integrated logic circuit of the hardware in processor 601 or the instruction of software form.Above-mentioned place Reason device 601 can be general processor, digital signal processor (DigitalSignalProcessor, DSP), dedicated integrated electricity Road (ApplicationSpecific IntegratedCircuit, ASIC), ready-made programmable gate array (FieldProgrammableGateArray, FPGA) either other programmable logic device, discrete gate or transistor logic Device, discrete hardware components.It may be implemented or execute disclosed each method, step and the logical box in the embodiment of the present invention Figure.General processor can be microprocessor or the processor is also possible to any conventional processor etc..In conjunction with the present invention The step of method disclosed in embodiment, can be embodied directly in hardware decoding processor and execute completion, or use decoding processor In hardware and software module combination execute completion.Software module can be located at random access memory, and flash memory, read-only memory can In the storage medium of this fields such as program read-only memory or electrically erasable programmable memory, register maturation.The storage Medium is located at memory 602, and processor 601 reads the user in memory 602 to the access times of application program, firmly in conjunction with it Part completes the step of above method.
It is understood that embodiments described herein can with hardware, software, firmware, middleware, microcode or its Combination is to realize.For hardware realization, processing unit be may be implemented in one or more specific integrated circuit (Application SpecificIntegratedCircuits, ASIC), digital signal processor (DigitalSignalProcessing, DSP), Digital signal processing appts (DSPDevice, DSPD), programmable logic device (ProgrammableLogicDevice, PLD), Field programmable gate array (Field-ProgrammableGateArray, FPGA), general processor, controller, microcontroller In device, microprocessor, other electronic units for executing herein described function or combinations thereof.
For software implementations, it can be realized herein by executing the module (such as process, function etc.) of function described herein The technology.Software code is storable in memory and is executed by processor.Memory can in the processor or It is realized outside processor.
The processor 601 is further used for: respectively by the first partial image and the second topography be divided into a × B block of pixels；According to first preview image, images match threshold value is calculated；According to the first partial image, calculate To matching times M；According to each a × b block of pixels in the first partial image and the second topography, non-matching picture is determined The number of plain block；When the number of non-matching block of pixels is greater thanWhen, it is determined that scene changes；When non-matching block of pixels Number is less than or equal toWhen, it is determined that scene does not change；Wherein, the first partial image and the second topography In each a × b block of pixels between be spaced multiple a × b block of pixels, a and b are positive integer.
Optionally, the processor 601 is used for: carrying out asking equal to the gray value of all pixels of first preview image It is worth operation, obtains average gray；Obtain the Pixel Dimensions value of a × b block of pixels；According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and size is a × b The Pixel Dimensions value of block of pixels, avg are the average gray.
Correspondingly, the processor 601 is further used for: calculating separately out the first partial image and the second Local map Total gray value of each a × b block of pixels as in；By a of opposite position in the first partial image and the second topography Total gray value of × b block of pixels carries out seeking difference operation, obtains total gray value difference；By the absolute value of total gray value difference It is compared with described image matching threshold；When the absolute value of total gray value difference is greater than described image matching threshold, Then the number of non-matching block of pixels adds one.
Optionally, the processor 601 is used for: carrying out asking equal to the gray value of all pixels of first preview image It is worth operation, obtains average gray；According to formulaImages match threshold value is calculated, wherein y is the figure As matching threshold, avg is the average gray.
Correspondingly, the processor 601 is further used for: calculating separately out the first partial image and the second Local map The average gray value of each a × b block of pixels as in；By opposite position in the first partial image and the second topography The average gray value of a × b block of pixels carries out seeking difference operation, obtains average gray value difference；By the average gray value difference Absolute value be compared with described image matching threshold；When the absolute value of the average gray value difference is greater than described image When with threshold value, then the number of non-matching block of pixels adds one.
Optionally, the processor 601 is used for: obtaining the length value and width value of first partial image；According to formulaMatching times M is calculated, wherein M is the matching times, and W is institute The width value of first partial image is stated, L is the length value of the first partial image, and E is between each a × b block of pixels in width The block of pixels number being spaced on degree direction, the block of pixels number that F is spaced in the longitudinal direction between each a × b block of pixels, a For the width of a × b block of pixels, b is the length of a × b block of pixels.
Optionally, the first partial image is the pre-set dimension centered on the center pixel of first preview image Image-region, second topography is the figure of pre-set dimension centered on the center pixel of second preview image As region, wherein the pre-set dimension is c × d block of pixels, wherein c and d is positive integer.
Optionally, the first partial image is the area image specified of user in first preview image, described the Two topographies are the image in second preview image with the first partial image corresponding position region.
Mobile terminal 600 can be realized each process that mobile terminal is realized in previous embodiment, to avoid repeating, here It repeats no more.
The mobile terminal 600 of the embodiment of the present invention passes through above-mentioned module, it is only necessary to carry out to the topography of preview image Matching operation reduces the operand of images match, improves the efficiency of Scene change detection；Also, using Y channel data into Row gray value matching, further reduce the complexity of matching operation, improve the efficiency of Scene change detection, can quickly, Scene change detection is carried out in previews of taking pictures in real time；Threshold grayscale is calculated by dynamic, it is adaptive to adjust scene inspection The matching threshold of survey can be improved the accuracy of Scene change detection.
Example IV:
Fig. 7 is the structural schematic diagram of the mobile terminal of another embodiment of the present invention.Specifically, the mobile terminal in Fig. 7 It can be smart phone, tablet computer, personal digital assistant (PersonalDigital Assistant, PDA) or vehicle mounted electric Brain etc..
Mobile terminal in Fig. 7 includes radio frequency (RadioFrequency, RF) circuit 710, memory 720, input unit 730, display unit 740, processor 760, component 750 of taking pictures, voicefrequency circuit 770, WiFi (WirelessFidelity) module 780 and power supply 790, component 750 of taking pictures includes camera.
Wherein, input unit 730 can be used for receiving the number or character information of user's input, and generation and mobile terminal User setting and function control related signal input.Specifically, in the embodiment of the present invention, which can be with Including touch panel 731.Touch panel 731, also referred to as touch screen collect the touch operation (ratio of user on it or nearby Such as user uses the operation of finger, stylus any suitable object or attachment on touch panel 731), and according to setting in advance Fixed formula drives corresponding attachment device.Optionally, touch panel 731 may include touch detecting apparatus and touch controller two A part.Wherein, the touch orientation of touch detecting apparatus detection user, and touch operation bring signal is detected, signal is passed Give touch controller；Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then The processor 760 is given, and order that processor 760 is sent can be received and executed.Furthermore, it is possible to using resistance-type, electricity The multiple types such as appearance formula, infrared ray and surface acoustic wave realize touch panel 731.In addition to touch panel 731, input unit 730 Can also include other input equipments 732, other input equipments 732 can include but is not limited to physical keyboard, function key (such as Volume control button, switch key etc.), trace ball, mouse, one of operating stick etc. or a variety of.
Wherein, display unit 740 can be used for showing information input by user or be supplied to the information and movement of user The various menu interfaces of terminal 700.Display unit 740 may include display panel 741, optionally, can use LCD or organic hair The forms such as optical diode (OrganicLight-EmittingDiode, OLED) configure display panel 741.
It should be noted that touch panel 731 can cover display panel 741, touch display screen is formed, when the touch display screen is examined After measuring touch operation on it or nearby, processor 760 is sent to determine the type of touch event, is followed by subsequent processing device 760 provide corresponding visual output according to the type of touch event in touch display screen.
Touch display screen includes Application Program Interface viewing area and common control viewing area.The Application Program Interface viewing area And arrangement mode of the common control viewing area does not limit, can be arranged above and below, left-right situs etc. can distinguish two it is aobvious Show the arrangement mode in area.The Application Program Interface viewing area is displayed for the interface of application program.Each interface can be with The interface elements such as the icon comprising at least one application program and/or widget desktop control.The Application Program Interface viewing area Or the empty interface not comprising any content.This commonly uses control viewing area for showing the higher control of utilization rate, for example, Application icons such as button, interface number, scroll bar, phone directory icon etc. are set.
Wherein processor 760 is the control centre of mobile terminal 700, utilizes the entire intelligent hand of various interfaces and connection The various pieces of machine, by running or executing the software program and/or module that are stored in first memory 721, and calling The data being stored in second memory 722 execute the various functions and processing data of mobile terminal 700, thus to mobile whole End 700 carries out integral monitoring.Optionally, processor 760 may include one or more processing units.
In embodiments of the present invention, by call store the first memory 721 in software program and/or module and/ Or the data in the second memory 722, processor 760 are used to obtain the first preview image and the second preview of camera acquisition Image；According to first preview image and the second preview image, first partial image and the second topography are determined；To described First partial image and the second topography carry out gray value matching, determine whether scene changes；Wherein, described first is pre- It lookes at image and the second preview image is Y channel image.
The processor 760 is further used for: respectively by the first partial image and the second topography be divided into a × B block of pixels；According to first preview image, images match threshold value is calculated；According to the first partial image, calculate To matching times M；According to each a × b block of pixels in the first partial image and the second topography, non-matching picture is determined The number of plain block；When the number of non-matching block of pixels is greater thanWhen, it is determined that scene changes；When non-matching block of pixels Number is less than or equal toWhen, it is determined that scene does not change；Wherein, the first partial image and the second topography In each a × b block of pixels between be spaced multiple a × b block of pixels, a and b are positive integer.
Optionally, the processor 760 is used for: carrying out asking equal to the gray value of all pixels of first preview image It is worth operation, obtains average gray；Obtain the Pixel Dimensions value of a × b block of pixels；According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and size is a × b The Pixel Dimensions value of block of pixels, avg are the average gray.
Correspondingly, the processor 760 is further used for: calculating separately out the first partial image and the second Local map Total gray value of each a × b block of pixels as in；By a of opposite position in the first partial image and the second topography Total gray value of × b block of pixels carries out seeking difference operation, obtains total gray value difference；By the absolute value of total gray value difference It is compared with described image matching threshold；When the absolute value of total gray value difference is greater than described image matching threshold, Then the number of non-matching block of pixels adds one.
Optionally, the processor 760 is used for: carrying out asking equal to the gray value of all pixels of first preview image It is worth operation, obtains average gray；According to formulaImages match threshold value is calculated, wherein y is the figure As matching threshold, avg is the average gray.
Correspondingly, the processor 760 is further used for: calculating separately out the first partial image and the second Local map The average gray value of each a × b block of pixels as in；By opposite position in the first partial image and the second topography The average gray value of a × b block of pixels carries out seeking difference operation, obtains average gray value difference；By the average gray value difference Absolute value be compared with described image matching threshold；When the absolute value of the average gray value difference is greater than described image When with threshold value, then the number of non-matching block of pixels adds one.
Optionally, the processor 760 is used for: obtaining the length value and width value of first partial image；According to formulaMatching times M is calculated, wherein M is the matching times, and W is institute The width value of first partial image is stated, L is the length value of the first partial image, and E is between each a × b block of pixels in width The block of pixels number being spaced on degree direction, the block of pixels number that F is spaced in the longitudinal direction between each a × b block of pixels, a For the width of a × b block of pixels, b is the length of a × b block of pixels.
Optionally, the first partial image is the pre-set dimension centered on the center pixel of first preview image Image-region, second topography is the figure of pre-set dimension centered on the center pixel of second preview image As region, wherein the pre-set dimension is c × d block of pixels, wherein c and d is positive integer.
Optionally, the first partial image is the area image specified of user in first preview image, described the Two topographies are the image in second preview image with the first partial image corresponding position region.
As it can be seen that the mobile terminal of the present embodiment passes through above-mentioned module, it is only necessary to topography's progress to preview image With operation, the operand of images match is reduced, improves the efficiency of Scene change detection；Also, it is carried out using Y channel data Gray value matching, further reduces the complexity of matching operation, improves the efficiency of Scene change detection, can quickly, in fact When Scene change detection is carried out in previews of taking pictures；Threshold grayscale is calculated by dynamic, adaptively adjusts scene detection Matching threshold, can be improved the accuracy of Scene change detection.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed The scope of the present invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the movement of foregoing description The specific work process of terminal, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In embodiment provided herein, it should be understood that disclosed device and method can pass through others Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of device or unit It connects, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention. And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, ROM, RAM, magnetic or disk etc. are various can store program code Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.For mobile terminal reality For applying example, since it is basically similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method Part explanation.

Claims (16)

  1. Scene-change detecting method during 1. one kind is taken pictures, applied to the mobile terminal with camera, which is characterized in that institute Stating scene-change detecting method during taking pictures includes:
    Obtain the first preview image and the second preview image of camera acquisition；
    According to first preview image and the second preview image, first partial image and the second topography are determined；
    Gray value matching is carried out to the first partial image and the second topography, determines whether scene changes；
    Wherein, first preview image and the second preview image are Y channel image；
    Wherein, described that gray value matching is carried out to the first partial image and the second topography, determine whether scene occurs The step of variation, comprising:
    The first partial image and the second topography are divided into a × b block of pixels respectively；
    According to first preview image, images match threshold value is calculated；
    According to the first partial image, matching times M is calculated；
    According to each a × b block of pixels in the first partial image and the second topography, of non-matching block of pixels is determined Number；
    When the number of non-matching block of pixels is greater thanWhen, it is determined that scene changes；
    When the number of non-matching block of pixels is less than or equal toWhen, it is determined that scene does not change；
    Wherein, multiple a × b pixels are spaced between each a × b block of pixels in the first partial image and the second topography Block, a and b are positive integer.
  2. 2. figure is calculated the method according to claim 1, wherein described according to first preview image As the step of matching threshold, comprising:
    Operation of averaging is carried out to the gray value of all pixels of first preview image, obtains average gray；
    Obtain the Pixel Dimensions value of a × b block of pixels；
    According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, Size is the Pixel Dimensions value of a × b block of pixels, and avg is the average gray.
  3. 3. according to the method described in claim 2, it is characterized in that, described according to the first partial image and the second Local map Each a × b block of pixels as in, the step of determining the number of non-matching block of pixels, comprising:
    Calculate separately out total gray value of each a × b block of pixels in the first partial image and the second topography；
    Total gray value of a × b block of pixels of opposite position in the first partial image and the second topography is asked Difference operation obtains total gray value difference；
    The absolute value of total gray value difference is compared with described image matching threshold；
    When the absolute value of total gray value difference is greater than described image matching threshold, then the number of non-matching block of pixels adds One.
  4. 4. figure is calculated the method according to claim 1, wherein described according to first preview image As the step of matching threshold, comprising:
    Operation of averaging is carried out to the gray value of all pixels of first preview image, obtains average gray；
    According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and avg is described Average gray.
  5. 5. according to the method described in claim 4, it is characterized in that, described according to the first partial image and the second Local map Each a × b block of pixels as in, the step of determining the number of non-matching block of pixels, comprising:
    Calculate separately out the average gray value of each a × b block of pixels in the first partial image and the second topography；
    The average gray value of a × b block of pixels of opposite position in the first partial image and the second topography is carried out Difference operation is sought, average gray value difference is obtained；
    The absolute value of the average gray value difference is compared with described image matching threshold；
    When the absolute value of the average gray value difference is greater than described image matching threshold, then the number of non-matching block of pixels adds One.
  6. 6. the method according to claim 1, wherein described according to the first partial image, it is calculated The step of with number M, comprising:
    Obtain the length value and width value of first partial image；
    According to formulaMatching times M is calculated, wherein M is the matching Number, W are the width value of the first partial image, and L is the length value of the first partial image, and E is each a × b pixel The block of pixels number being spaced in the direction of the width between block, the picture that F is spaced in the longitudinal direction between each a × b block of pixels Plain block number, a are the width of a × b block of pixels, and b is the length of a × b block of pixels.
  7. 7. the method according to claim 1, wherein the first partial image is with first preview image Center pixel centered on pre-set dimension image-region, second topography be in second preview image The image-region of pre-set dimension centered on imago element, wherein the pre-set dimension is c × d block of pixels, wherein c and d are Positive integer.
  8. 8. the method according to claim 1, wherein the first partial image is in first preview image The area image that user specifies, second topography are corresponding with the first partial image in second preview image The image of the band of position.
  9. 9. a kind of mobile terminal, including camera, which is characterized in that the mobile terminal further include:
    Image collection module, for obtaining the first preview image and the second preview image of camera acquisition；
    Image determining module, for obtaining the first preview image and the second preview image that module obtains according to described image, really Determine first partial image and the second topography；
    Scene changes determining module, for described image determining module determine first partial image and the second topography into The matching of row gray value, determines whether scene changes；
    Wherein, first preview image and the second preview image are Y channel image；
    Wherein, the scene changes determining module includes:
    Block of pixels division unit, first partial image and the second topography for respectively determining described image determining module It is divided into a × b block of pixels；
    Image is calculated for obtaining the first preview image that module obtains according to described image in matching threshold computing unit Matching threshold；
    Matching times computing unit, the first partial image for being determined according to described image determining module, is calculated matching Number M；
    Matching unit, for determining non-according to each a × b block of pixels in the first partial image and the second topography The number of matched pixel block；
    Judge determination unit, the number of the non-matching block of pixels for determining when the matching unit is greater thanWhen, it is determined that field Scape changes；And when the number of the determining non-matching block of pixels of the matching unit is less than or equal toWhen, it is determined that Scene does not change；
    Wherein, multiple a × b pixels are spaced between each a × b block of pixels in the first partial image and the second topography Block, a and b are positive integer.
  10. 10. mobile terminal according to claim 9, which is characterized in that the matching threshold computing unit is specifically used for:
    Operation of averaging is carried out to the gray value of all pixels of first preview image, obtains average gray；
    Obtain the Pixel Dimensions value of a × b block of pixels；
    According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, Size is the Pixel Dimensions value of a × b block of pixels, and avg is the average gray.
  11. 11. mobile terminal according to claim 10, which is characterized in that the matching unit is specifically used for:
    Calculate separately out total gray value of each a × b block of pixels in the first partial image and the second topography；
    Total gray value of a × b block of pixels of opposite position in the first partial image and the second topography is asked Difference operation obtains total gray value difference；
    The absolute value of total gray value difference is compared with described image matching threshold；
    When the absolute value of total gray value difference is greater than described image matching threshold, then the number of non-matching block of pixels adds One.
  12. 12. mobile terminal according to claim 9, which is characterized in that the matching threshold computing unit is specifically used for:
    Operation of averaging is carried out to the gray value of all pixels of first preview image, obtains average gray；
    According to formulaImages match threshold value is calculated, wherein y is described image matching threshold, and avg is described Average gray.
  13. 13. mobile terminal according to claim 12, which is characterized in that the matching unit is specifically used for:
    Calculate separately out the average gray value of each a × b block of pixels in the first partial image and the second topography；
    The average gray value of a × b block of pixels of opposite position in the first partial image and the second topography is carried out Difference operation is sought, average gray value difference is obtained；
    The absolute value of the average gray value difference is compared with described image matching threshold；
    When the absolute value of the average gray value difference is greater than described image matching threshold, then the number of non-matching block of pixels adds One.
  14. 14. mobile terminal according to claim 9, which is characterized in that the matching times computing unit is specifically used for:
    Obtain the length value and width value of first partial image；
    According to formulaMatching times M is calculated, wherein M is the matching Number, W are the width value of the first partial image, and L is the length value of the first partial image, and E is each a × b pixel The block of pixels number being spaced in the direction of the width between block, the picture that F is spaced in the longitudinal direction between each a × b block of pixels Plain block number, a are the width of a × b block of pixels, and b is the length of a × b block of pixels.
  15. 15. mobile terminal according to claim 9, which is characterized in that the first partial image is pre- with described first The image-region for the pre-set dimension look at centered on the center pixel of image, second topography are with second preview graph The image-region of pre-set dimension centered on the center pixel of picture, wherein the pre-set dimension be c × d block of pixels, wherein c and D is positive integer.
  16. 16. mobile terminal according to claim 9, which is characterized in that the first partial image is first preview The area image that user specifies in image, second topography be second preview image in the first partial figure As the image in corresponding position region.
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