CN103634589B - Image judgment method and object coordinates calculate device - Google Patents
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- CN103634589B CN103634589B CN201210301129.7A CN201210301129A CN103634589B CN 103634589 B CN103634589 B CN 103634589B CN 201210301129 A CN201210301129 A CN 201210301129A CN 103634589 B CN103634589 B CN 103634589B
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Abstract
The invention discloses a kind of image judgment method, in order to judge the specific image pixel during which pixel is specific image in image, this image judgment method comprises: the pixel of at least string in (a) gradually scan-image, and judges that the brightness of which pixel in these row is more than marginal value；B () is when judging to contain in first row brightness more than at least one specific image pixel of first row of this marginal value, then specific for this first row image pixel is judged into this specific image pixel, and defines specific image capturing range with the specific image pixel of this first row；And (c) is when scanning the secondary series after this first row, specific image pixel in the range of the secondary series in this specific image capturing range of this secondary series all judges into this specific image pixel, and wherein this preset range is the region that a plurality of pixel is formed centered by this specific image pixel.
Description
Technical field
The present invention relates to a kind of image judgment method and object coordinates calculates device, judge that the image judgment method method of specific image pixel or subject pixels and object coordinates calculate device more particularly to a kind of with the condition outside brightness and brightness.
Background technology
Fig. 1 depicts in prior art, it is judged that the schematic diagram of the image judgment method of the specific image pixel in an image.(i.e. the luminance graph of image, it is the matrix of 7 row 8 row to the grey decision-making figure of what Fig. 1 illustrated an is image, has 7 × 8 pixel P11-P78.Containing the specific image that an object (by a light source in this example) is caused in this image, the specific image pixel in this specific image compares the pixel of periphery can have higher brightness, such as pixel P16、P25-P27、P34-P38、P43-P48、P54-P57And P65-P67。
Prior art judging, the method for specific image pixel is that brightness is judged as specific image pixel higher than the pixel of a marginal value.In the example depicted in figure 1, it is as marginal value with grey decision-making 100, therefore can be by pixel P26、P35-P37、P44-P47And P55-P56Judge into specific image pixel.But, because the specific image peripheral pixels that light source is caused can be dark, the most such judgment mode still can be by pixel P16、P25、P27、P34、P38、P43、P48、P54、P57And P65-P67Judge into the general pixel of nonspecific image pixel.If but marginal value is turned down, such as 80, then can be by general pixel P75And P76Also judge into specific image pixel, and still cannot cover pixel P16.And, the size of specific image that different objects are caused, position, brightness are the most different, therefore, it is difficult to determine an optimal brightness critical values.
Summary of the invention
Therefore, the condition outside it is an object of the present invention to provide with brightness and brightness is to judge the image judgment method of specific image pixel or subject pixels and to use the object coordinates of this image judgment method to calculate device.
One embodiment of the present of invention discloses a kind of image judgment method, in order to judge the specific image pixel during which pixel is specific image in image, this image judgment method comprises: the pixel of at least string in (a) gradually scan-image, and judges that the brightness of which pixel in these row is more than marginal value；B () is when judging to contain in first row brightness more than at least one specific image pixel of first row of this marginal value, then specific for this first row image pixel is judged into this specific image pixel, and defines specific image capturing range with the specific image pixel of this first row；And (c) is when scanning the secondary series after this first row, specific image pixel in the range of the secondary series in this specific image capturing range of this secondary series all judges into this specific image pixel, and wherein this preset range is the region that a plurality of pixel is formed centered by this specific image pixel.
Another embodiment of the present invention discloses a kind of object coordinates and calculates device, comprises: video camera, and in order to capture the image comprising at least one object, wherein this image is grey decision-making figure；Reading circuit, in order to gradually to scan the pixel of at least string in this image, and judge that the brightness of which pixel in these row is more than marginal value, when judging first row contains brightness more than at least one specific image pixel of first row of this marginal value, then specific for this first row image pixel is judged into subject pixels, and define the first object range with the specific image pixel of this first row, and when scanning the secondary series after this first row, subject pixels in the range of the secondary series in this object range of this secondary series is all judged into this subject pixels, this reading circuit calculates the center of gravity of this object according to this brightness of this subject pixels noted down and this coordinate, wherein this preset range is the region that a plurality of pixel is formed centered by this specific image pixel.
According to aforesaid embodiment, the condition outside the invention provides with brightness and brightness is to judge that the image judgment method of specific image pixel or subject pixels, object coordinates computational methods and object coordinates calculate device.The problem that so can avoid can only judging with brightness in prior art, and different conditions can be set according to different object types and the image captured size, judgment mechanism can be allowed to have elastic and the most accurate.And, use coordinate that aforesaid judgment mechanism calculated can allow object decentralization trying to achieve object center of gravity, the most relatively meet gesture when user takes controller, moving sensing action can be allowed more accurate.
Accompanying drawing explanation
Fig. 1 depicts in prior art, it is judged that the schematic diagram of the image judgment method of an object coordinates in an image.
Fig. 2 and Fig. 4 depicts the schematic diagram of image judgment method according to embodiments of the present invention respectively.
Fig. 3 and Fig. 5 depicts the flow chart of image judgment method according to embodiments of the present invention respectively.
Fig. 6 depicts and uses the object coordinates of the image judgment method shown in Fig. 2 to Fig. 5 to calculate device.
Wherein, description of reference numerals is as follows:
P11-P78Pixel
301-305 step
501-505 step
600 moving sensing systems
601 object coordinates calculate device
603 display
605 light sources
607 video cameras
608 reading circuits
Detailed description of the invention
Some vocabulary is employed to censure specific element in the middle of description and claim above.Person with usual knowledge in their respective areas is it is to be appreciated that hardware manufacturer may call same element with different nouns.In the way of this specification and claim above not difference by title is used as distinguishing element, but it is used as the criterion distinguished with element difference functionally." comprising " mentioned in the middle of description and claim above in the whole text is an open term, therefore should be construed to " comprise but be not limited to ".
Fig. 2 and Fig. 4 depicts the schematic diagram of image judgment method according to embodiments of the present invention respectively.Wherein, Fig. 2 depicts first embodiment, and Fig. 4 depicts the second embodiment.For convenience of description, Fig. 2 with Fig. 4 employs the grey decision-making figure identical with Fig. 1 and describes, but does not limit image judgment method proposed by the invention and only can be used on this grey decision-making figure.
In the embodiment shown in Figure 2, can first judge that the brightness of which pixel in image is more than a marginal value, and brightness is judged as initial specific image pixel more than the pixel of marginal value, then defined the multiple specific image pixel comprising these initial specific image pixels by these initial specific image pixels.In this embodiment, marginal value is also set to 100 as Fig. 1, therefore pixel P26、P35-P36、P44-P47And P55-P56Initial specific image pixel can be determined into.Please note that this step can be to scan by column and judge, it is also possible to be all scan through after judge again.Then, by position pixel in the preset range that initial specific image pixel is launched, specific image pixel also it is judged as.In this embodiment, it is that each initial specific image pixel is produced a picture element matrix as the center outward expansion of one 3 × 3 picture element matrixs, and this picture element matrix is and defines this preset range.And by the pixel in each this picture element matrix, all it is judged as specific image pixel.For example, first by pixel P44As the center of 3 × 3 picture element matrixs, this 3 × 3 picture element matrix contains pixel P33-P35, pixel P43-P45, and pixel P53-P55, these pixels all can be judged as specific image pixel.But pixel P35, pixel P44-P45, and pixel P55Step is the most previously judged as initial specific image pixel, therefore with pixel P44Judge this step of specific image pixel can make in the group of specific image pixel as the center of picture element matrix and add pixel P33-P34, pixel P43, and pixel P53-P54。
Same, if by pixel P55As the center of one 3 × 3 picture element matrixs, then can make the group of specific image pixel adds pixel P54, and pixel P64-P66.If to pixel P26、P35-P36、P44-P47And P55-P56It is performed both by the same step, then can make the group of specific image pixel adds pixel P15-P17、P24-P25、P27、P33-P34、P37-P38、P43、P48、P53-P54、P57-P58And P64-P67.So it is noted that aforesaid preset range is not limited to the long picture element matrix identical with width, it is also not necessarily limited to use picture element matrix.This preset range is when arbitrarily setting according to other parameter such as image size or the object type of judgement.Please noting that aforesaid initial specific image pixel and the specific image pixel judged according to initial specific image pixel are the most all identified as being specific image pixel, there is no respectively, the difference of two titles is only in order to clearer explanation present disclosure.
According to the first embodiment shown in Fig. 2, available image judgment method as shown in Figure 3, it comprises the following step:
Step 301
Judge that the brightness of which pixel in image is more than a marginal value.
Step 303
Brightness is judged as initial specific image pixel (such as pixel P more than the pixel of marginal value26、P35-P36、P44-P47And P55-P56)。
Step 305
By position pixel in initial specific image pixel one preset range, also it is judged as that specific image pixel (such as: preset range is one 3 × 3 picture element matrixs, was not the most the P of specific image pixel15-P17、P24-P25、P27、P33-P34、P37-P38、P43、P48、P53-P54、P57-P58And P64-P67Also can be judged to be broken into specific image pixel).
Other detailed step can embodiment as shown in Figure 2 push away, therefore does not repeats them here.
And in the second embodiment shown in Fig. 4, can gradually scan the pixel of at least string in an image, and judge that the brightness of which pixel in these row is more than a marginal value.In the fig. 4 embodiment, the direction of scanning is from top to bottom, say, that scan through pixel P71-P78After scanning element P again61-P68, scanning element P the most again51-P58, by that analogy.When judging that in image, wherein string (is first row L in this example1) contain the brightness first row specific image pixel such as P more than marginal value55、P56Time (the referred to as specific image pixel of first row), then specific for these first rows image pixel is judged into specific image pixel, and defines a specific image capturing range W with the specific image pixel of these first rows1.This example is the Far Left pixel with the specific image pixel of first row and rightmost pixel are to define specific image capturing range W1Border, but do not limit.And when scanning next column, by the W in specific image capturing range of next column1Image pixel all judge into specific image pixel.For example, P is contained in scanning41-P48Secondary series L2Time, can specific image capturing range W1In by pixel P45、P46All judge into specific image pixel (referred to as specific image pixel in the range of secondary series).
At scanning secondary series L2Time, specific image capturing range W can be judged1Outside the brightness of pixel whether more than marginal value.If no more than marginal value, then may proceed to adopt previous specific image capturing range W1, at scanning secondary series L2After row time, will be at specific image capturing range W1Interior pixel all judges into specific image pixel.If in secondary series, at specific image capturing range W1Outside the brightness of pixel more than this marginal value (referred to as secondary series scope outer specific image pixel), then the outer specific image pixel of these secondary series scopes can be judged to be broken into specific image pixel, and update specific image capturing range according to the outer specific image pixel of secondary series scope, and when scanning next column, the pixel in the specific image capturing range in the updated of next column is all judged into specific image pixel.
As a example by the embodiment described in Fig. 4, because secondary series L2At specific image capturing range W1Outside the outer specific image pixel P of secondary series scope44、P47Brightness more than marginal value 100, the therefore outer specific image pixel P of secondary series scope44、P47Also can be judged to be broken into specific image pixel, and specific image capturing range W1Specific image capturing range W can be updated to2.And arrange L at scanning next column the 3rd3Time, can be first by specific image capturing range W2Specific image pixel P in the range of the 3rd interior row34-P37All judge into specific image pixel, and judge the 3rd row L3In specific image capturing range W2Outer pixel P31-P33、P38Brightness whether more than marginal value.In the fig. 4 embodiment, because pixel P31-P33、P38Brightness no more than marginal value 100, the most specific image capturing range W2Remain unchanged.At scanning the 4th row L4Time, aforesaid step, the most specific image capturing range W can be continued to use2Interior pixel P24-P27All can be judged to be broken into specific image pixel and specific image capturing range W2Remain unchanged.And at scanning the 5th row L5Time, still can be by specific image capturing range W2Interior image pixel P14-P17All judge into image pixel, but because the 5th arranges L5The brightness of pixel no more than marginal value, therefore can stop scanning this object and stopping continuing to update specific image capturing range.Because image may includes multiple object, after therefore stopping scanning this object, it is possible to continue to scan on next object and re-execute aforesaid flow process.Therefore, when single image is scanned, multiple object can be detected simultaneously, such as when having two objects on same string, then spatial correlation can also distinguish each object.
According to the second embodiment shown in Fig. 4, available image judgment method as shown in Figure 5, it comprises the following step:
Step 501
Gradually scan the pixel of at least string in an image, and judge that the brightness of which pixel in these row is more than a marginal value.
Step 503
When judging in a first row (such as Fig. 4 L1) contain the brightness at least one specific image pixel of first row more than this marginal value (such as P55、P56) time, then specific for first row image pixel is judged into specific image pixel, and defines a specific image capturing range (such as W with the specific image pixel of first row1)。
Step 505
A secondary series after scanning first row is (such as Fig. 4 L2) time, by specific image pixel in the range of the secondary series in specific image capturing range of secondary series (such as P45、P46) all judge into this specific image pixel.
Other detailed step can embodiment as shown in Figure 4 push away, therefore does not repeats them here.
Fig. 6 depicts and uses the object coordinates of the image judgment method shown in Fig. 2 to Fig. 5 to calculate device 601, and it is included in a moving sensing system 600.Please note that moving sensing system 600, only in order to illustrate, calculates device according to object coordinates of the present invention and can also use in other system or device.As shown in Figure 6, moving sensing system 600 contains object coordinates and calculates device 601 and a display 603.Display 603 contains a light source 605, and object coordinates calculates device 601 and contains a video camera 607 and a reading circuit 608.Video camera 607 comprises the image of at least one object (i.e. light source 605) in order to capture, and wherein this image is a grey decision-making figure.Reading circuit 608 is in order to the pixel of at least string in gradually scan-image, and notes down brightness and the coordinate of at least some of pixel in row.Reading circuit can perform the step of first embodiment as shown in Figure 2 and the second embodiment as shown in Figure 4 to judge which is as subject pixels.Then reading circuit can calculate the center of gravity of light source 605 according to this brightness of the subject pixels noted down and coordinate.Specifically, reading circuit, with the brightness of subject pixels as weight, is then multiplied by weight to calculate the center of gravity of object with the coordinate of subject pixels.And object coordinates calculates device 601 and can further include a processor (not illustrating) and carry out the position calculation of reference light source 605 and go out object coordinates and calculate device 601 and correspond to the shift action of display 603, and by this shift action, control the vernier Cr on display 603.
Calculate device according to the first embodiment shown in Fig. 3 and the object coordinates shown in Fig. 6, following objects Coordinate calculation method can be obtained: (a) judges that the brightness of which pixel in this image is more than a marginal value；B this brightness is judged as subject pixels (such as pixel P of this object by () more than the pixel of this marginal value26、P35-P36、P44-P47And P55-P56)；C () will be located in the pixel in this subject pixels one preset range, be also judged as this subject pixels；And (d) calculates the coordinate of this object according to this (b), the judged result of (c) step.
Device is calculated according to the second embodiment shown in Fig. 5 and the object coordinates shown in Fig. 6, following objects Coordinate calculation method can be obtained: (a) gradually scans at least string pixel in an image, and judges that the brightness of which pixel in these row is more than a marginal value；B () is when judging that a first row is (such as Fig. 4 L1The brightness at least one first row object pixel more than this marginal value is contained (such as P in)55、P56) time, then this first row subject pixels is judged into subject pixels, and defines an object range (such as W with this first row subject pixels1)；C () secondary series after scanning this first row is (such as Fig. 4 L2) time, by subject pixels in the range of the secondary series in this object range of this secondary series (such as P45、P46) all judge into this subject pixels；And (d) calculates the coordinate of this object according to this (b), the judged result of (c) step.
According to aforesaid embodiment, the condition outside the invention provides with brightness and brightness is to judge that the image judgment method of specific image pixel or subject pixels, object coordinates computational methods and object coordinates calculate device.The problem that so can avoid can only judging with brightness in prior art, and different conditions can be set according to different object types and the image captured size, judgment mechanism can be allowed to have elastic and the most accurate.And, use coordinate that aforesaid judgment mechanism calculated can allow object decentralization trying to achieve object center of gravity, the most relatively meet gesture when user takes controller, moving sensing action can be allowed more accurate.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (10)
1. an image judgment method, in order to judge the specific image pixel during which pixel is specific image in image, this image judgment method comprises:
The pixel of at least string in (a) gradually scan-image, and judge that the brightness of which pixel in these row is more than marginal value；
B () is when judging to contain in first row brightness more than at least one specific image pixel of first row of this marginal value, then specific for this first row image pixel is judged into this specific image pixel, and defines the first specific image capturing range with the specific image pixel of this first row；And
C () is when scanning the secondary series after this first row, specific image pixel in the range of the secondary series in the second specific image capturing range of this secondary series is all judged into this specific image pixel, wherein the size of this second specific image capturing range is identical with this first specific image capturing range, and this second specific image capturing range is identical with the position relationship of this first row with this first specific image capturing range with the position relationship of this secondary series.
2. image judgment method as claimed in claim 1, further includes:
D () judges in this secondary series, whether the brightness of the pixel outside this second specific image capturing range is more than this marginal value；
If in (e) this secondary series, the brightness of the pixel outside this second specific image capturing range is no more than this marginal value, when then the 3rd after scanning this secondary series arranges, specific image pixel in the range of these tertial the 3rd row in the 3rd specific image capturing range is all judged into this specific image pixel, wherein the size of the 3rd specific image capturing range is identical with this second specific image capturing range, and the 3rd specific image capturing range is identical with the position relationship of this secondary series with this second specific image capturing range with this tertial position relationship；And
If in (f) this secondary series, the brightness of the outer specific image pixel of at least one secondary series scope outside this second specific image capturing range is more than this marginal value, then outer for this secondary series scope specific image pixel is judged into this specific image pixel, and the 3rd specific image capturing range after updating according to the outer specific image pixel of this secondary series scope and the generation of this second specific image capturing range, and in time scanning the 3rd row, this tertial pixel after this renewal in the 3rd specific image capturing range is all judged into this specific image pixel.
3. image judgment method as claimed in claim 1, wherein this step (b) comprises leftmost pixel placement in specific for this first row image pixel is the leftmost border of this first specific image capturing range, and is rightmost circle of this first specific image capturing range with rightmost pixel placement in the specific image pixel of this first row.
4. image judgment method as claimed in claim 1, if scanning the either rank after this first row, when but not having the brightness of any pixel to be more than this marginal value, then stops scanning this image.
5. image judgment method as claimed in claim 1, wherein this specific image is produced by object, and this image judgment method further includes:
D () calculates the coordinate of this object according to this (b), the judged result of (c) step.
6. the image judgment method as described in claim the 5, further includes:
With the brightness of the plurality of specific image pixel as weight, and calculate the center of gravity of this object according to the coordinate of this weight and the plurality of specific image pixel.
7. object coordinates calculates a device, comprises:
Video camera, in order to capture the image comprising at least one object, wherein this image is grey decision-making figure；
Reading circuit, in order to gradually to scan the pixel of at least string in this image, and judge that the brightness of which pixel in these row is more than marginal value, when judging first row contains brightness more than at least one specific image pixel of first row of this marginal value, then specific for this first row image pixel is judged into subject pixels, and defines the first object range with the specific image pixel of this first row；
This reading circuit is when scanning the secondary series after this first row, subject pixels in the range of the secondary series in the second object range of this secondary series is all judged into this subject pixels, wherein the size of this second object range is identical with this first object range, and this second object range is identical with the position relationship of this first row with the position relationship of this secondary series and this first object range, this reading circuit calculates the center of gravity of this object according to this brightness of this subject pixels recorded and this coordinate.
8. object coordinates as claimed in claim 7 calculates device, wherein leftmost pixel placement in this first row subject pixels is the leftmost border of this first object range by this reading circuit, and is rightmost circle of this first object range with rightmost pixel placement in this first row subject pixels.
9. object coordinates as claimed in claim 7 calculates device,
During wherein this reading circuit more judges this secondary series, whether the brightness of the pixel outside this second object range is more than marginal value；If in this secondary series, the brightness of the pixel outside this second object range is no more than this marginal value, then this reading circuit is when scanning the after this secondary series the 3rd row, subject pixels in the range of these tertial the 3rd row in the 3rd object range is all judged into this subject pixels, wherein the size of the 3rd object range is identical with this second object range, and the 3rd object range is identical with the position relationship of this secondary series with this tertial position relationship and this second object range；
And if in this secondary series, the brightness of the outer subject pixels of at least one secondary series scope outside this second object range is more than this marginal value, then outer for this secondary series scope subject pixels is judged into this subject pixels by this reading circuit, and the 3rd object range after updating according to the outer subject pixels of this secondary series scope and the generation of this second object range, and scan the 3rd row time, by this tertial after this renewal the pixel of the 3rd object range all judge into this subject pixels.
10. object coordinates as claimed in claim 7 calculates device, the either rank after wherein if this reading circuit scans this first row, but when the brightness not having any pixel is more than this marginal value, then stop scanning this image, and this brightness recorded before scanning with stopping is as weight, and calculate the center of gravity of this object according to this coordinate recorded before this weight and stopping scanning.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0604245A1 (en) * | 1992-12-21 | 1994-06-29 | SAT (Société Anonyme de Télécommunications) | Method for detecting the appearance of dot objects in an image |
| US7574037B2 (en) * | 2003-11-25 | 2009-08-11 | Sony Corporation | Device and method for detecting object and device and method for group learning |
| TW201108155A (en) * | 2009-08-21 | 2011-03-01 | Altek Corp | Human face image processing method |
| CN102238358A (en) * | 2010-05-06 | 2011-11-09 | 原相科技股份有限公司 | Interactive system capable of improving image processing speed and method thereof |
-
2012
- 2012-08-22 CN CN201210301129.7A patent/CN103634589B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0604245A1 (en) * | 1992-12-21 | 1994-06-29 | SAT (Société Anonyme de Télécommunications) | Method for detecting the appearance of dot objects in an image |
| US7574037B2 (en) * | 2003-11-25 | 2009-08-11 | Sony Corporation | Device and method for detecting object and device and method for group learning |
| TW201108155A (en) * | 2009-08-21 | 2011-03-01 | Altek Corp | Human face image processing method |
| CN102238358A (en) * | 2010-05-06 | 2011-11-09 | 原相科技股份有限公司 | Interactive system capable of improving image processing speed and method thereof |
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