CN103841409B - Detection method, Apparatus and system that infrared fileter switches - Google Patents

Abstract

The invention discloses detection method, Apparatus and system that a kind of camera infrared filter switches, by verifying that the video image accessed by the video camera of color/monochrome switching effect carries out automatic scan detection to needing, determine whether there is scanning black surround in image, and determine whether video camera carries out infrared fileter switching again, thus achieve the automatic detection that the infrared fileter of video camera is switched.Compared with the manual detection mode adopted in prior art, the program that the embodiment of the present invention provides improves the detection efficiency that infrared fileter switches greatly.

Description

Detection method, Apparatus and system that infrared fileter switches

Technical field

The present invention relates to camcorder technology field, particularly relate to detection method, Apparatus and system that a kind of infrared fileter switches.

Background technology

The video camera possessing infrared fileter switch (ICR) is switched to general daytime does not feel infrared fileter, and is switched to sense infrared fileter state evening.Carry out switching between these two states can be called " ICR switching ", have scanning black surround in this process and be rolled to the right from the screen left side of video camera, or be rolled to the left side from the right.

Detection mode mainly manual detection is carried out in switching ICR of commonly using at present.But because the process of manual detection is slow, therefore detection efficiency is lower.

Summary of the invention

Detection method, Apparatus and system that the embodiment of the present invention provides a kind of infrared fileter to switch, the problem that the detection efficiency in order to solve the ICR switching existed in prior art is lower.

The embodiment of the present invention is by the following technical solutions:

The detection method that infrared fileter switches, comprising:

Perform predetermined detection operation by the image obtained the video camera of band infrared fileter switch, judge whether there is scanning black surround in described image;

When judged result is for being, determine that described video camera carries out infrared fileter switching.

The checkout gear that infrared fileter switches, comprising:

Scanning black surround detecting unit, performing predetermined detection operation for the image by obtaining the video camera of band infrared fileter switch, judging whether there is scanning black surround in described image;

Switching determining unit, for when scanning judged result that black surround detecting unit obtains for being, determining that described video camera carries out infrared fileter switching.

The detection system that infrared fileter switches, comprises said apparatus.

The beneficial effect of the embodiment of the present invention is as follows:

The scheme that the embodiment of the present invention provides carries out the mode of automatic scan by the image obtained video camera, determine in the image that video camera obtains, whether to there is the scanning black surround being not less than default scanning black surround decision threshold, and determine that when being defined as being video camera carries out infrared fileter switching, thus achieve the automatic detection that the infrared fileter of video camera is switched.Compared with the manual detection mode adopted in prior art, the program that the embodiment of the present invention provides improves the detection efficiency that infrared fileter switches greatly.

By further improvement of these options, the automatic identification of the infrared fileter switch failure for video camera can also be realized.

Accompanying drawing explanation

The idiographic flow schematic diagram of the detection method that a kind of infrared fileter that Fig. 1 provides for the embodiment of the present invention switches;

Fig. 2 is the implementing procedure schematic diagram of embodiment 1;

Fig. 3 is the implementing procedure schematic diagram of embodiment 2;

The concrete structure schematic diagram of the checkout gear that a kind of infrared fileter that Fig. 4 provides for the embodiment of the present invention switches.

Embodiment

In order to the problem that the detection efficiency solving the ICR switching existed in prior art is lower, embodiments provide a kind of for automatically detecting the scheme that infrared fileter switches.By carrying out automatic scan to the video camera of band ICR, the program determines whether this video camera is carrying out ICR switching, thus realize the automatic detection to ICR switching.By the further improvement to the program, can also improve and realize such as ICR frequent switch failure problem, the non-switch failure problem of ICR, ICR are switched to stopping problem etc. and detect.

Below in conjunction with accompanying drawing, describe the scheme that the embodiment of the present invention provides in detail.

Please refer to Fig. 1, the idiographic flow schematic diagram of the detection method that a kind of infrared fileter provided for the embodiment of the present invention switches, this flow process comprises following key step:

Step 11, according to the scan mode scanning often row pixel successively, possess a row pixel of lowest number from image, along the image that the video camera of assigned direction scanning strip ICR obtains, and continuous sweep to the first predetermined columns meet preset the pixel of decision condition time, determine described continuous sweep to the numbering k meeting the first row pixel column in the first predetermined columns of the first decision condition.

To being explained as follows of some nouns related in this step 11:

Assigned direction can be from left to right, also can be from right to left;

The image that video camera with ICR obtains generally refers to the video image that video camera photographs;

First predetermined columns is generally determine according to the width of scanning black surround, and such as this columns can be 10, also can be 9 etc.;

Default decision condition can be: the mean value of the Y-component of a row pixel in yuv space is less than default Y-component luminance threshold, and the variance square value of the Y-component of this row pixel in yuv space is less than default Y-component variance threshold values, wherein, yuv space is the color space form of expression of a kind of video or image, and main feature is that brightness space Y is separated with chrominance space U, V.

The set-up mode of the numbering of pixel column can be relevant to described assigned direction.Such as assigned direction be from left to right time, the numbering of row can adopt: for the row being positioned at the image leftmost side distribute numbering 1, and according to order from left to right, be followed successively by other each row pixels arranged from left to right distribute respectively numbering 2,3 ... until complete the distribution of the numbering to the row being positioned at the image rightmost side; And when assigned direction be from right to left time, the numbering of row then can adopt: for the row being positioned at the image rightmost side distribute numbering 1, and according to order from right to left, be followed successively by other each row pixels arranged from right to left distribute respectively numbering 2,3 ... until complete the distribution of the numbering to the row being positioned at the image leftmost side.

Step 12, similarly, according to described scan mode, possess a row pixel of maximum numbering from image, along this image that the opposite direction smear camera of assigned direction obtains, and continuous sweep to the second predetermined columns meet the pixel of above-mentioned default decision condition time, determine continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of this default decision condition;

It should be noted that, step 11,12 can also be executed in parallel.

Step 13, if previously described assigned direction is direction from left to right, and it is dextrosinistral direction in the other direction, and the numbering of each row along direction arrangement from left to right in this image increases progressively successively, so when the difference judging that the w obtained by performing above-mentioned scanning deducts k gained is not less than default scanning black surround decision threshold, determine that this video camera carries out ICR switching.

Wherein, w deducts the width that the physical meaning of the difference of k gained is the image-region in image between kth row and w row.Due to for any row pixel, if it meets above-mentioned default decision condition, namely the mean value meeting the Y-component of this row pixel is less than default Y-component threshold value, and the variance square value of the Y-component of this row pixel is less than the such condition of default Y-component variance threshold values, so generally can think that this row pixel intensity is lower, come near to black.Therefore, when the absolute value of the difference of k and w is not less than default scanning black surround decision threshold, can thinks and occur a scanning black surround in image, thus judge that this video camera carries out ICR switching.

Similarly, if previously described assigned direction is dextrosinistral direction, and it is direction from left to right in the other direction, and the numbering of each row arranged along dextrosinistral direction in this image increases progressively successively, so when the difference judging that w deducts k gained is not less than default scanning black surround decision threshold, determine that this video camera carries out ICR switching.

By known to the description of said method, it carries out the mode of automatic scan by the image obtained video camera, determine in the image that video camera obtains, whether to there is the scanning black surround being not less than default scanning black surround decision threshold, and determine that when being defined as being video camera carries out infrared fileter switching, thus automatic detection that the infrared fileter of video camera is switched can be realized.Compared with the manual detection mode adopted in prior art, the method without the need to manually-operated intervention, thus improves the detection efficiency of infrared fileter switching greatly.

Optionally, when the difference of w and k is less than scanning black surround decision threshold, said method can further include following step, to realize the renewal to default Y-component variance threshold values and default Y-component luminance threshold:

First, according to the default mapping relations of the variance square value of the Y-component of Y-component variance threshold values and video image, determine the Y-component variance threshold values that the variance square value of the Y-component of this image is corresponding, and upgrade default Y-component variance threshold values according to the Y-component variance threshold values determined;

Then, according to the default mapping relations of the minimum value of Y-component, the mean value of Y-component and Y-component luminance threshold, determine the minimum value of the Y-component of this image and the Y-component luminance threshold corresponding to the mean value of Y-component, and upgrade default Y-component luminance threshold according to the Y-component luminance threshold determined.

Above-mentioned mapping relations do concrete introduction by embodiment 1 later, do not repeat them here.

Optionally, scanning black surround can also whether be there is in detected image in the following way in the embodiment of the present invention:

First, the detection at the edge comprised by the image obtained the video camera of band ICR, judges whether there are two vertical edges in this image; Particularly, the detection that can realize the edge that image comprises according to the various algorithm realizing rim detection existing in prior art; In addition it should be noted that, the implication of " vertical edge " is perpendicular to the edge of the horizontal boundary of image, or the edge of vertical boundary perpendicular to image;

Then, when judged result is for being, determine the mean value of Y-component and the variance square value of Y-component of the spacing of two vertical edges, pixel between two vertical edges;

Finally, when the spacing of two vertical edges is not less than default scanning black surround decision threshold, and the mean value of the Y-component determined is less than default Y-component luminance threshold, and when the variance square value of the Y-component determined is less than default Y-component variance threshold values, judge in this image, to there is scanning black surround; Otherwise, judge there is not scanning black surround in this image.

The embodiment of the present invention can also adopt in other mode determination images except above-mentioned two kinds of modes whether there is scanning black surround.

In the embodiment of the present invention, by the further improvement to said method, the automatic identification of the ICR fault for video camera can also be achieved.

Below for common three kinds of ICR faults, the improved procedure to said method is described respectively.

1, scan black surround and move fault.

In order to detect the fault of this type, based on the method shown in Fig. 1, after determining that video camera is carrying out infrared fileter switching by performing step 13, can further include following sub-step:

First, for the image of the predetermined number that this video camera obtains after obtaining the image described in step 11, the image finally obtained by video camera in the image of those predetermined number is determined;

Secondly, judge that the k determined by execution step 11 is similar to the mode of step 11 with employing and whether is less than default displacement threshold value for this difference finally obtaining the k that image is determined, or judge that the w determined by performing step 12 is similar to the mode of step 12 with employing and whether is less than default displacement threshold value for this difference finally obtaining the w that image is determined;

When judged result is for being, determine video camera generation infrared fileter switch failure.Specifically, this fault generally can be positioned as scanning black surround and move fault.

2, the frequent switch failure of ICR.

In order to detect the fault of this type, based on the method shown in Fig. 1, after determining that video camera is carrying out infrared fileter switching by performing step 13, can further include following sub-step:

First, judge whether the number of times that the infrared fileter that this video camera occurs in stipulated time length switches is greater than default switching times threshold value;

Then, when the number of times that judged result is the infrared fileter switching that video camera occurs in stipulated time length is greater than default switching times threshold value, video camera generation infrared fileter switch failure is determined.Specifically, this fault generally can be positioned as the frequent switch failure of ICR.

Optionally, if determine there is the frequent switch failure of ICR in video camera, then the method that the embodiment of the present invention provides can further include following steps, to realize the location to the frequent switch failure reason of ICR:

First, at least one group of adjacent video image that video camera obtains between twice infrared fileter recurred switches is determined;

Secondly, the difference of the mean value of the Y-component of two video images in described adjacent video image is determined;

Finally, by the difference comparing this mean value and the luminance delta threshold value pre-set, determine that whether video camera is too responsive to the brightness change of environment.

3, color switch failure.

In order to detect the fault of this type, based on the method shown in Fig. 1, after determining that video camera is carrying out infrared fileter switching by performing step 13, can further include following sub-step:

First, judge whether the difference for video camera is obtaining each image obtained after described image and w and the k determined respectively is less than default scanning black surround decision threshold successively;

Then, when first time obtains the judged result be judged as YES, determine that video camera completes ICR and switches;

Finally, by comparing the color of last image that the image that draws this judged result institute foundation be judged as YES and video camera obtain prior to this " image of foundation ", judge whether to there occurs color conversion, and when comparative result is no, determine video camera generation infrared fileter switch failure.Specifically, this fault generally can be positioned as color switch failure.

What needs illustrated is, refer to that video camera switches not feeling between ICR state and sense ICR state because ICR switches, if the image that before therefore switching, video camera obtains is black and white image, the image that after so having switched, it obtains should be coloured image, and vice versa.Based on this feature that ICR switches, by performing the mentioned above operation judging whether to there occurs color that color change degree is greater than default color change degree and switch, can realize switching and whether successfully judge.

Below based on 2 embodiments, illustrate the said method application flow in practice that the embodiment of the present invention provides.

Embodiment 1

Particularly, the implementing procedure schematic diagram of embodiment 1 as shown in Figure 2, comprises following key step:

The video camera of S110, band ICR, after receiving ICR detection instruction, by performing Y component map as histogrammic statistics, obtains the average of the Y-component of first video image that it obtains after receiving this detection instruction, variance and minimum value;

The Y-component of video image is generally 8 figure places, and span is 0-255.The Y-component of this first video image is added up, the different Y-component of this image can be determined, and determine the number of the pixel possessing same Y-component, thus to generate take number of pixels as ordinate and Y-component histogram Hist [256] using the size of Y-component as abscissa.Concrete false code is as follows, wherein width is the width of this video image, height is the height of this video image, Pixel [x] [y] for the coordinate in this video image be (x, y) pixel, Hist [i] for the Y-component comprised in this video image be total number of the pixel of i.

Hist[i]＝0;i＝0.1.2.……255;

Hist[Pixel[x][y]]++;0≤x＜height,0≤y＜width

Then, according to the average of the Y-component of this video image of histogram calculation, variance and minimum value.Computing formula is respectively as shown in the formula shown in [1], [2], [3], wherein Yavarage is the average of the Y-component of this video image, Yvariance is the variance square value of the Y-component of this video image, and Ymin is the minimum value of the Y-component of this video image.

$\mathrm{Yavarage}=\underset{i=0}{\overset{255}{\mathrm{\Σ}}}\left(\mathrm{Hist}\right[i]\×i)/(\mathrm{width}\×\mathrm{height})---\left[1\right]$

$\mathrm{Yvariance}=(\underset{i=0}{\overset{255}{\mathrm{\Σ}}}\left(\mathrm{Hist}\right[i]\×i\×i)-\mathrm{width}\×\mathrm{height}\×{\mathrm{Yavarage}}^2)/(\mathrm{width}\×\mathrm{height}-1)---\left(2\right)$

$Y\min =\left\{\begin{array}{c}i;\mathrm{Hist}\left[i\right]>0,\underset{k=0}{\overset{i-1}{\mathrm{\Σ}}}\mathrm{Hist}\left[k\right]=0\\ 0,\mathrm{Hist}\left[0\right]>0\end{array}\right.---\left[3\right]$

In like manner, the average Uavarage of the U component of this video image can be calculated according to similar formula, the variance square value Uvariance of the U component of this video image, the average Vavarage of the V component of this video image, the variance square value Vvariance of the V component of this video image.

S120, video camera performs the operation that average and variance along the yuv space each component of X-direction to this video image are added up.

X-direction mentioned here generally refers to horizontal direction from left to right.Carry out adding up can be understood as accordingly adding up accordingly each component of yuv space of each row pixel arranged from left to right successively according to each component of the yuv space of X-direction to this video image.Concrete statistical formula is as shown in the formula shown in [4], [5], and wherein XProjection_Yavarage [y] is the mean value of the Y-component of y row pixel, ia is the variance square value of the Y-component of y row pixel.

$\mathrm{XProjection}\_\mathrm{Yavarage}\left[y\right]=\underset{i=0}{\overset{\mathrm{height}-1}{\mathrm{\&Sigma;}}}\mathrm{Pixel}\left[i\right]\left[y\right]/\mathrm{height},0\&le;y<\mathrm{width}---\left[4\right]$

$\mathrm{XProjection}\_\mathrm{Yvariance}\left[y\right]=\left(\underset{i=0}{\overset{\mathrm{height}-1}{\mathrm{\&Sigma;}}}\mathrm{Pixel}\right[i]{\left[y\right]}^2-\mathrm{height}\&times;\mathrm{XProjection}\_\mathrm{avarage}{\left[y\right]}^2)/(\mathrm{height}-1),0\&le;y<\mathrm{width}---\left[5\right]$

S130, video camera determination Y-component variance threshold values and scanning black surround decision threshold.

The implementing precondition of this step of S130 is generally do not detect that the former frame video image of the above-mentioned video image that video camera obtains exists scanning black surround.Now, according to Yavarage, Yvariance and Ymin of calculating respectively based on formula [1], [2], [3], Y-component variance threshold values YVarThres, scanning black surround decision threshold YBlackThres can be calculated by following formula [6], [7]:

$\mathrm{YVarThres}=\left\{\begin{array}{c}64,\mathrm{YVariance}>128\\ 10,\mathrm{YVariance}\&le;20\\ \mathrm{YVariacne}/\mathrm{2,20}<\mathrm{YVariance}\&le;128\end{array}\right.---\left[6\right]$

By performing S130, can be implemented in the dynamic conditioning to Y-component variance threshold values and scanning black surround decision threshold in testing process.As can be seen from above-mentioned formula, the adjustment of these two parameters is according to the brightness can regarding in fact video image as.Because the factor affecting video image brightness is generally that environment is relevant, therefore according to the brightness of video image, the benefit that these two parameter values carry out dynamic conditioning is, robustness and the adaptability of system can be improved, even thus under various circumstances to ICR switch detect, also can ensure the accuracy of testing result.

Optionally, if the brightness of environment residing for video camera generally can not change, then also can not carry out above-mentioned adjustment to the Y-component variance threshold values preset and scanning black surround decision threshold.

S140, video camera, for each video image obtained after above-mentioned video image, performs the scanning black surround detection and location in ICR handoff procedure, till detecting that in certain video image, existence scans black surround.Specifically, after the above-mentioned video image of acquisition, obtain to obtain second video image for video camera, exactly by the Y-component variance threshold values determined and scanning black surround decision threshold, second video image detected as follows:

First, initialization left side dividing value left=width, and according to scanning the scan mode of often row pixel successively, from the first row pixel of second video image leftmost side, according to sequential scanning second video image from left to right, and when continuous sweep meets the pixel of following condition formula [8] to 10 row, determine the numbering k of the first row in these 10 row, and left side dividing value is updated to left=k.

XProjection_Yavarage[y]＜YBlackThres&&XProjection_Yvariance＜YVarThres [8]

In like manner, dividing value right=0 on the right of initialization, and according to scanning the scan mode of often row pixel successively, from the first row pixel of second video image rightmost side, according to dextrosinistral sequential scanning second video image, and when continuous sweep meets the pixel of following condition formula [8] to 10 row, determine the numbering w of the first row in these 10 row, and the right dividing value is updated to right=w.

Finally, according to whether there is left+10<right and judge whether there is scanning black surround in second video image.Concrete decision procedure is: judge to there is scanning black surround in second video image when left+10<right, thus judges that video camera is current carries out ICR switching; And judge not exist in second video image scanning black surround when left+10>=right, be namely normal black and white or color video frequency image in second video image.

In the present embodiment, suppose by the detection to second video image, judge that video camera is current and carry out ICR switching, then continue to perform step S150.

S150, to obtaining the detection of other each video images execution as described in S140 after second video image, till determining detection video camera being completed to ICR switching.Determine still there is scanning black surround in the 9th video image if suppose by detecting, and in the tenth video image, there is not scanning black surround, so further by the color comparing the 9th, the tenth video image, can determine whether to there is ICR switch failure.

Particularly, because the various values being different from 128 may be there are in the UV component of coloured image, UV component in black and white image is all then 128, so can be judged by the average and variance comparing the UV component of the 9th, the tenth video image whether the color that video camera switches the forward and backward video image obtained respectively at ICR there occurs respective change.

Such as, if the relevant parameter of the 9th video image meet Uavarage=128, Vavarage=128, UVariance=0 and VVariance=0 time, then can judge that the 9th video image is black and white image; If the relevant parameter of the tenth video image does not meet this condition, then judge that the tenth video image is coloured image.Thus based on those judged results, can judge that video camera does not exist ICR switch failure further.

And if the 9th video image and the tenth video image are judged as and are coloured image, or be black and white image, then can judge that video camera exists ICR switch failure further.

Embodiment 2

As shown in Figure 3, it mainly lays particular emphasis on introduction and how to judge whether video camera creates ICR switch failure the concrete implementing procedure schematic diagram of embodiment 2.Below each step shown in Fig. 3 is introduced in detail:

S210, by the scanning of video image obtained video camera, determines whether ICR handoff procedure occurs.

Particularly, by performing the operation described in similar S140, can judge whether video camera ICR occurs and switches.

Optionally, if known that video camera starts ICR handoff functionality, so, by performing the operation described in similar S140, there is the situation of right>left+10 as previously described if judge, then directly can determine that video camera enters ICR handoff procedure, and if in one section of scheduled time length, all there is not the situation that right>left+10 is such, so can judge to there is ICR switch failure.

S220, according to mean value and the variance of the UV component of the video image of video camera acquisition, determines the color situation of video image.

Usually, if determine, its relevant parameter meets Uavarage=128 and Vavarage=128 and UVariance=0 and this condition of VVariance=0, then illustrate that this video image is black and white video image; And if determine that its relevant parameter does not meet this condition, then illustrate that this video image is color video frequency image.This step synchronously can perform with S210, also can perform before or after S210.

S230, determining by performing S210 on the basis that ICR handoff procedure occurs, the change in location in multiple video images that can obtain before video camera completes ICR switching according to scanning black surround, judging whether scanning black surround moves in ICR handoff procedure.

In normal ICR handoff procedure, all video images sequence of video images integrally that video camera is obtained in ICR handoff procedure, scanning black surround is the equal of the right that to be moved to last video image of this sequence of video images by the left side of first video image gradually, or moves to the left side of last video image of this sequence of video images from the right of first video image.Therefore, according to scanning black surround left side dividing value left and the occurrence of the right dividing value right in different video image sequence, whether scanning black surround just can be judged in this sequence of video images in motion.Such as, if the move distance sum of the left side dividing value left of the scanning black surround in the video image of continuous 25 frames or the right dividing value right is no more than 20 pixels altogether, then can judge scanning black surround dyskinesia (such as remaining static), namely there is ICR switch failure.

S240, on the basis performing step S220, after ICR has switched, can judge whether normal black and white/the colour of video image switches further, namely switch normally under switch instances, can judge whether the video image after switching there occurs color switching at ICR.Or this step S240 the basis that scanning black surround there occurs motion in ICR handoff procedure performs determining by performing step S230.

Usually, after ICR has switched, if the video image that video camera obtains is converted to color video frequency image by black and white video image, or be converted to black and white video image by color video frequency image, then judge color switch failure does not occur, otherwise judge to there occurs color switch failure.

In addition, this step of S250 can also be performed further in embodiment 2.The particular content of S250 is: according to preset switching times threshold value, occur in the stipulated time ICR switch number of times judge whether to there is the frequent switch failure of ICR.Particularly, if when judging that the number of times that the infrared fileter that video camera occurs in stipulated time length switches is greater than default switching times threshold value, then determine video camera generation infrared fileter switch failure; Otherwise determine that frequent switch failure does not occur video camera.

Optionally, after determining there is the frequent switch failure of ICR by performing S250, can also determine further combined with the brightness of image the reason that causes occurring the frequent switch failure of ICR.Such as, switch for the frequent ICR occurred, can monitor video camera taken video image between twice ICR recurred switches, and by monitoring, determine the mean value of the Y-component of each video image.The brightness of the reason of carrying out ICR switching due to toggling camera its place environment often there occurs change, therefore, compared by the mean value of the Y-component to the adjacent two or more video image in above-mentioned video image, just can judge the situation of change of the brightness of video camera place environment.

Such as, if taken video image is color video frequency image between certain twice ICR switches, and the many groups adjacent video image taken before switching of the second time ICR of video camera in this twice ICR occurring and switches is all satisfied: the difference often organizing the mean value of the Y-component of two video images that adjacent video image comprises is less than in advance for the second luminance delta threshold value of color video frequency image setting, so also can judge that the reason that frequent switch failure occurs video camera is that video camera is too responsive for the situation of change of the brightness of environment.Wherein it should be noted that, two video images of implication taken by continuous camera being shot of " adjacent video image ".

Such as 1 minute at the appointed time, statistics ICR switching times, if be greater than the ICR switching times of regulation, and when Yavarage value change when being all black and white state is no more than 10 pixels, then for ICR switches abnormal.

Usually, when judging to occur arbitrary fault, can the operation of execute exception status alert.

Based on the technical scheme that embodiment 2 is introduced, parallel detection mode can be adopted to detect ICR switch failure, a technical staff just can realize detecting multiple cameras simultaneously.Thus detection efficiency is higher, and detection time can be extended flexibly, realize the detection of the multiple ICR handoff procedures to video camera, thus improve the comprehensive and accuracy for the ICR switch failure of video camera.

Corresponding to the detection method of the ICR switching that the embodiment of the present invention provides, the checkout gear that the embodiment of the present invention also provides a kind of infrared fileter to switch, the concrete structure schematic diagram of this device as shown in Figure 4, mainly can comprise following functions unit:

Scanning black surround detecting unit 41, performing predetermined detection operation for the image by obtaining the video camera of band infrared fileter switch, judging whether there is scanning black surround in described image;

Switching determining unit 42, for when scanning judged result that black surround detecting unit 41 obtains for being, determining that described video camera carries out infrared fileter switching.

Optionally, correspond to a kind of implementation of scanning black surround detecting unit 41 function, following functions subelement can be divided into:

Scanning subelement, performs first, second scanning process for the image obtained the video camera of band infrared fileter switch; Wherein, first scanning process comprises: possess a row pixel of lowest number from image, along the image that the video camera of assigned direction scanning strip infrared fileter switch obtains, and continuous sweep to the first predetermined columns meet preset the pixel of decision condition time, determine described continuous sweep to the numbering k meeting the first row pixel column in the first predetermined columns of described decision condition; Second scanning process comprises: possess a row pixel of maximum numbering from image, along the described image that the opposite direction smear camera of assigned direction obtains, and continuous sweep to the second predetermined columns meet the pixel of described decision condition time, determine described continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition; Wherein, video camera obtain described image in along assigned direction arrangement each row numbering meet increase progressively successively; Described decision condition is then: the mean value of the Y-component of a row pixel in yuv space is less than default Y-component luminance threshold, and the variance square value of the Y-component of this row pixel in yuv space is less than default Y-component variance threshold values;

Scanning black surround detection sub-unit, for according to performed by scanning subelement the first scanning process and continuous sweep to satisfied default decision condition the first predetermined columns in the numbering k of first row pixel column, and by scanning subelement 41 perform the second scanning process and continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition, judge that difference that w deducts k gained is not less than when presetting scanning black surround decision threshold, determine in described image, to there is scanning black surround, otherwise determine there is not scanning black surround in described image.

Optionally, based on the above-mentioned implementation of scanning black surround detecting unit 41 function, the device as shown in Figure 4 that the embodiment of the present invention provides can further include following function unit, to realize the dynamic conditioning to Y-component variance threshold values and Y-component luminance threshold:

Parameter determination unit, for determining the variance square value of the minimum value of the Y-component of described image, the mean value of the Y-component of described image and the Y-component of described image;

Threshold value determination unit, for when scanning black surround detection sub-unit and judging that the difference that w deducts k gained is less than scanning black surround decision threshold, according to the default mapping relations of the variance square value of the Y-component of Y-component variance threshold values and video image, determine the Y-component variance threshold values that the variance square value of the Y-component that parameter determination unit is determined is corresponding; And according to the default mapping relations of the minimum value of Y-component, the mean value of Y-component and Y-component luminance threshold, determine the minimum value of the Y-component that parameter determination unit is determined and the Y-component luminance threshold corresponding to mean value of Y-component;

Threshold value updating block, upgrades described default Y-component variance threshold values for the Y-component variance threshold values determined according to threshold value determination unit; And upgrade described default Y-component luminance threshold according to the Y-component luminance threshold that threshold value determination unit is determined.

Optionally, correspond to the another kind of implementation of scanning black surround detecting unit 41 function, also can be divided into following functions subelement:

Rim detection subelement, for by the detection to the edge that described image comprises, judges whether there are two vertical edges in described image;

Parameter determination subelement, during for the judged result that obtains at rim detection subelement for being, determines the mean value of Y-component and the variance square value of Y-component of the spacing of two vertical edges, pixel between two vertical edges;

Scanning black surround detection sub-unit, described spacing for determining when parameter determination subelement is not less than default scanning black surround decision threshold, and the mean value of described Y-component that parameter determination subelement is determined is less than default Y-component luminance threshold, and the variance square value of described Y-component that parameter determination subelement is determined is when being less than default Y-component variance threshold values, judge in described image, to there is scanning black surround; Otherwise, judge there is not scanning black surround in described image.

Optionally, in order to realize the detection of scanning black surround being moved to fault, said apparatus can further include:

Image determination unit, after determining that video camera is carrying out infrared fileter switching in switching determining unit 42, for the image of the predetermined number that video camera obtains after obtaining described image, determine the image finally obtained by video camera in the image of described predetermined number;

Judging unit, for judging to scan, the k that determines of subelement and scanning subelement perform the first scanning process respectively for the image of described last acquisition and whether the difference of k determined is less than default displacement threshold value, or judge whether the difference of the w that w and the image for described last acquisition perform the second scanning process respectively and determine is less than default displacement threshold value;

Switch failure determining unit, during for the judged result that obtains at judging unit for being, determines described video camera generation infrared fileter switch failure.

Optionally, in order to realize the detection to color switch failure, this device that the embodiment of the present invention provides can further include:

Judging unit, after determining that video camera is carrying out infrared fileter switching in switching determining unit 42, judges whether the number of times that the infrared fileter that video camera occurs in stipulated time length switches is greater than default switching times threshold value;

Switch failure determining unit, during for the judged result that obtains at judging unit for being, determines video camera generation infrared fileter switch failure (the frequent switch failure of ICR).

Further, in order to realize the detection to the reason causing the frequent switch failure of ICR, this device that the embodiment of the present invention provides can further include:

Video image group determining unit, for after switch failure determining unit determination video camera generation infrared fileter switch failure, determines at least one group of adjacent video image that video camera obtains between twice infrared fileter recurred switches;

Difference value determining unit, for determining the difference of the mean value of the Y-component of two video images in the adjacent video image that video image group determining unit is determined respectively;

Failure cause determining unit, for the difference by comparing the described mean value that difference value determining unit is determined and the luminance delta threshold value pre-set, determines that whether video camera is too responsive to the brightness change of environment.

Optionally, in order to realize the detection to the frequent switch failure of ICR, this device that the embodiment of the present invention provides can further include:

Scanning black surround judging unit, after determining unit 41 determines that video camera is carrying out infrared fileter switching in switching, judge each image of obtaining after obtaining described image for video camera successively and whether the difference of w and k determined respectively is less than default scanning black surround decision threshold;

Switch determining unit, for when judging unit first time obtains the judged result be judged as YES, determined that described video camera completes infrared fileter and switches;

Color switching judging unit, for complete in switching determining unit determine described video camera complete infrared fileter switch after, drawing the color of last image that the image of described judged result institute foundation and described video camera obtain prior to the image of described institute foundation by comparing scanning black surround judging unit, judging whether to there occurs color switching;

Switch failure determining unit, during for going out not occur color switching in color switching judging unit judges, determines described video camera generation infrared fileter switch failure.

The scheme that the embodiment of the present invention provides carries out the mode of automatic scan by the image obtained video camera, determine in the image that video camera obtains, whether to there is the scanning black surround being not less than default scanning black surround decision threshold, and determine that when being defined as being video camera carries out infrared fileter switching, thus achieve the automatic detection that the infrared fileter of video camera is switched.Compared with the manual detection mode adopted in prior art, the program that the embodiment of the present invention provides improves the detection efficiency that infrared fileter switches greatly.

By further improvement of these options, the automatic identification of the infrared fileter switch failure for video camera can also be realized.

The detection method that the infrared fileter provided based on the embodiment of the present invention switches and device, the detection system that a kind of infrared fileter that the embodiment of the present invention is also provided for realizing the method switches.The feature of this detection system is this device comprised as shown in Figure 4.This device is not limited to be external in video camera to be detected, maybe can be built in video camera to be detected.When this device is built in video camera to be detected, this video camera can be regarded as the detection system that a kind of infrared fileter switches.

Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.

The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.

Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (11)

1. a detection method for infrared fileter switching, is characterized in that, comprising:

Perform predetermined detection operation by the image obtained the video camera of band infrared fileter switch, judge whether there is scanning black surround in described image;

When judged result is for being, determine that described video camera carries out infrared fileter switching;

Wherein, perform predetermined detection operation by the image obtained the video camera of band infrared fileter switch, judge whether there is scanning black surround in described image, specifically comprise:

First, second scanning process is performed to the image that described video camera obtains;

According to by execution first scanning process and continuous sweep to the numbering k meeting the first row pixel column in the first predetermined columns presetting decision condition, and by execution second scanning process continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition, judge that difference that w deducts k gained is not less than when presetting scanning black surround decision threshold, determine in described image, to there is scanning black surround, otherwise determine there is not scanning black surround in described image;

Wherein, described first scanning process comprises: possess a row pixel of lowest number from image, described image is scanned along assigned direction, and continuous sweep to the first predetermined columns meet preset the multiple row pixel of decision condition time, determine described continuous sweep to the numbering k meeting the first row pixel column in the first predetermined columns of described decision condition;

Described second scanning process comprises: possess a row pixel of maximum numbering from image, opposite direction along described assigned direction scans described image, and continuous sweep to the second predetermined columns meet the multiple row pixel of described decision condition time, determine described continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition;

Wherein, the numbering of each row along assigned direction arrangement in described image increases progressively successively;

Described decision condition is: the mean value of the Y-component of a row pixel in yuv space is less than default Y-component luminance threshold, and the variance square value of the Y-component of this row pixel in yuv space is less than default Y-component variance threshold values;

Wherein, the variance square value of the minimum value of the Y-component of described image, the mean value of the Y-component of described image and the Y-component of described image is determined; Then

When the difference that w deducts k gained is less than scanning black surround decision threshold, described method also comprises:

According to the default mapping relations of the variance square value of the Y-component of Y-component variance threshold values and video image, determine the Y-component variance threshold values that the variance square value of the Y-component of described image is corresponding, and upgrade described default Y-component variance threshold values according to the Y-component variance threshold values determined; And

According to the default mapping relations of the minimum value of Y-component, the mean value of Y-component and Y-component luminance threshold, determine the minimum value of the Y-component of described image and the Y-component luminance threshold corresponding to the mean value of Y-component, and upgrade described default Y-component luminance threshold according to the Y-component luminance threshold determined.

2. the method for claim 1, is characterized in that, after determining that described video camera is carrying out infrared fileter switching, also comprises:

For the image of the predetermined number that video camera obtains after obtaining described image, determine the image finally obtained by video camera in the image of described predetermined number;

Judge whether the difference of the k that k and the image for described last acquisition perform the first scanning process respectively and determine is less than default displacement threshold value, or whether the difference of the w judging w to perform the second scanning process respectively with the image for described last acquisition and determine is less than default displacement threshold value;

When judged result is for being, determine described video camera generation infrared fileter switch failure.

3. the method for claim 1, is characterized in that, after determining that described video camera is carrying out infrared fileter switching, also comprises:

Judge whether the number of times that the infrared fileter that described video camera occurs in stipulated time length switches is greater than default switching times threshold value;

When judged result is for being, determine described video camera generation infrared fileter switch failure.

4. method as claimed in claim 3, is characterized in that, after determining described video camera generation infrared fileter switch failure, also comprise:

Determine at least one group of adjacent video image that video camera obtains between twice infrared fileter recurred switches;

Determine the difference of the mean value of the Y-component of two video images in described adjacent video image;

By difference and the luminance delta threshold value pre-set of more described mean value, determine that whether video camera is too responsive to the brightness change of environment.

5. the method for claim 1, is characterized in that, after determining that described video camera is carrying out infrared fileter switching, also comprises:

Judge whether be less than default scanning black surround decision threshold for video camera at the absolute value of the difference obtaining each image obtained after described image and k and the w determined respectively successively; And

When first time obtains the judged result be judged as YES, determine that described video camera completes infrared fileter and switches;

By comparing the color of last image that the image that draws described judged result institute foundation and described video camera obtain prior to the image of described institute foundation, judge whether that there occurs color switches;

When judging that color does not occur to be switched, determine described video camera generation infrared fileter switch failure.

6. a checkout gear for infrared fileter switching, is characterized in that, comprising:

Scanning black surround detecting unit, performing predetermined detection operation for the image by obtaining the video camera of band infrared fileter switch, judging whether there is scanning black surround in described image;

Switching determining unit, for when scanning judged result that black surround detecting unit obtains for being, determining that described video camera carries out infrared fileter switching;

Described scanning black surround detecting unit specifically comprises:

Scanning subelement, performs first, second scanning process for the image obtained the video camera of band infrared fileter switch;

Scanning black surround detection sub-unit, for according to performed by scanning subelement the first scanning process and continuous sweep to satisfied default decision condition the first predetermined columns in the numbering k of first row pixel column, and by scanning subelement perform the second scanning process and continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition, judge that difference that w deducts k gained is not less than when presetting scanning black surround decision threshold, determine in described image, to there is scanning black surround, otherwise determine there is not scanning black surround in described image,

Wherein, described first scanning process comprises: possess a row pixel of lowest number from image, described image is scanned along assigned direction, and continuous sweep to the first predetermined columns meet preset the multiple row pixel of decision condition time, determine described continuous sweep to the numbering k meeting the first row pixel column in the first predetermined columns of described decision condition;

Described second scanning process comprises: possess a row pixel of maximum numbering from image, opposite direction along described assigned direction scans described image, and continuous sweep to the second predetermined columns meet the multiple row pixel of described decision condition time, determine described continuous sweep to the numbering w meeting the first row pixel column in the second predetermined columns of described decision condition;

Wherein, the numbering of each row along assigned direction arrangement in described image increases progressively successively;

Described decision condition is: the mean value of the Y-component of a row pixel in yuv space is less than default Y-component luminance threshold, and the variance square value of the Y-component of this row pixel in yuv space is less than default Y-component variance threshold values;

This checkout gear also comprises:

Parameter determination unit, for determining the variance square value of the minimum value of the Y-component of described image, the mean value of the Y-component of described image and the Y-component of described image;

Threshold value determination unit, for when scanning black surround detection sub-unit and judging that the difference that w deducts k gained is less than scanning black surround decision threshold, according to the default mapping relations of the variance square value of the Y-component of Y-component variance threshold values and video image, determine the Y-component variance threshold values that the variance square value of the Y-component that parameter determination unit is determined is corresponding; And according to the default mapping relations of the minimum value of Y-component, the mean value of Y-component and Y-component luminance threshold, determine the minimum value of the Y-component that parameter determination unit is determined and the Y-component luminance threshold corresponding to mean value of Y-component;

Threshold value updating block, upgrades described default Y-component variance threshold values for the Y-component variance threshold values determined according to threshold value determination unit; And upgrade described default Y-component luminance threshold according to the Y-component luminance threshold that threshold value determination unit is determined.

7. device as claimed in claim 6, is characterized in that, also comprise:

Image determination unit, after determining that described video camera is carrying out infrared fileter switching in switching determining unit, for the image of the predetermined number that video camera obtains after obtaining described image, determine the image finally obtained by video camera in the image of described predetermined number;

Judging unit, for judging to scan, the k that determines of subelement and scanning subelement perform the first scanning process respectively for the image of described last acquisition and whether the difference of k determined is less than default displacement threshold value, or judge whether the difference of the w that w and the image for described last acquisition perform the second scanning process respectively and determine is less than default displacement threshold value;

Switch failure determining unit, during for the judged result that obtains at judging unit for being, determines described video camera generation infrared fileter switch failure.

8. device as claimed in claim 6, is characterized in that, also comprise:

Judging unit, after determining that described video camera is carrying out infrared fileter switching in switching determining unit, judges whether the number of times that the infrared fileter that described video camera occurs in stipulated time length switches is greater than default switching times threshold value;

Switch failure determining unit, during for the judged result that obtains at judging unit for being, determines described video camera generation infrared fileter switch failure.

9. device as claimed in claim 8, is characterized in that, also comprise:

Video image group determining unit, for determine described video camera generation infrared fileter switch failure in switch failure determining unit after, determines at least one group of adjacent video image that described video camera obtains between twice infrared fileter recurred switches;

Difference value determining unit, for determining the difference of the mean value of the Y-component of two video images in the adjacent video image that video image group determining unit is determined respectively;

Failure cause determining unit, for the difference by comparing the described mean value that difference value determining unit is determined and the luminance delta threshold value pre-set, determines that whether video camera is too responsive to the brightness change of environment.

10. device as claimed in claim 6, is characterized in that, also comprise:

Scanning black surround judging unit, after determining unit determines that described video camera is carrying out infrared fileter switching in switching, judge each image of obtaining after obtaining described image for video camera successively and whether the difference of w and k determined respectively is less than default scanning black surround decision threshold;

Switch determining unit, for when judging unit first time obtains the judged result be judged as YES, determined that described video camera completes infrared fileter and switches;

Color switching judging unit, for complete in switching determining unit determine described video camera complete infrared fileter switch after, drawing the color of last image that the image of described judged result institute foundation and described video camera obtain prior to the image of described institute foundation by comparing scanning black surround judging unit, judging whether to there occurs color switching;

Switch failure determining unit, during for going out not occur color switching in color switching judging unit judges, determines described video camera generation infrared fileter switch failure.

The detection system that 11. 1 kinds of infrared fileters switch, is characterized in that, comprise as arbitrary in claim 6 ~ 10 as described in device.