CN103067734A - Video image color cast detecting method of video quality diagnostic system - Google Patents
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Abstract
The invention discloses a video image color cast detecting method of a video quality diagnostic system. The video image color cast detecting method of the video quality diagnostic system is used for solving the problem that video image color cast in the video quality diagnostic system occurs and comprises the steps of a, converting an image from a red, green and blue (RGB) color space to a Lab color space, b, calculating color histograms of a component a and a component b, and c, calculating image color cast factors. If the color cast factors are larger than images of set threshold values, color cast is confirmed to exist and an alarm is called.
Description
Technical field:
The present invention relates to protection and monitor field, be specifically related to the video image color cast detection in the video quality diagnostic techniques.
Background technology:
Usually, because the impact of the factors such as sensitization coefficient of the reflection characteristic of environment light source, object itself and collecting device there are differences between the color of image capture device collection image and the true picture color, i.e. the colour cast phenomenon.The existence of colour cast phenomenon has brought difficulty to the accuracy that image is processed, and therefore image being carried out that color cast detection and colour cast proofread and correct is a very crucial link.The previous work that color cast detection is proofreaied and correct as colour cast comprises detecting whether have colour cast and colour cast degree in the image, has in actual applications extremely important using value.
Color cast detection method commonly used has: statistics with histogram method, grey balance method, white balance method, based on the color cast detection method of equivalent circular etc.
At Zheng Jianhua, Hao Chongyang etc. utilize the color histogram feature carry out the automatic detection of colour cast image and proofread and correct in mentioned the method for using statistical color histogram and carry out colour cast and judge, for obviously partially red individually, partially green, partially blue image can tentatively be judged whether colour cast of image according to the mean flow rate of R, G, a B3 passage, still for the various images in the different application, the reason that colour cast occurs is intricate, is difficult to be judged comprehensively and accurately based on the statistics with histogram method.
FENG LI, ratio according to image averaging colourity and colourity centre-to-centre spacing among the AN APPROACH OF DETECTING IMAGE COLOR CAST BASED ON IMAGE SEMANTIC of HONG JIN etc. calculates the colour cast factor, can not can be subjected to the restriction of the conditions such as light sensitive characteristic of body surface attribute, light source characteristic, imaging device.But the image detection that the method can not be less with colour cast out, and for not doing good differentiation between the very little image of colour cast degree difference, precision is not high.
Xu Xiaozhao, in the color cast detection and color calibration method based on graphical analysis of Cai Yihang etc., mentioned a kind of color cast detection method based on equivalent circular, also be to calculate the colour cast factor by the ratio that adopts image averaging colourity and colourity centre-to-centre spacing, with FENG LI, the method of HONG JIN etc. is different, calculating respectively a, during b component colourity centre-to-centre spacing, do not consider the probability of each color image components value, but directly the difference by component and component average and square with the ratio of image area, the method can not be subjected to the body surface attribute yet, light source characteristic, the restriction of the conditions such as the light sensitive characteristic of imaging device, but the relative FENG LI of the method, the method for HONG JIN etc., solving practical problems does not improve the precision that detects.
Summary of the invention:
The purpose of this invention is to provide the method that the high video quality diagnosis system of a kind of accuracy of detection detects the video image colour cast.
The present invention is achieved in that
System comprises:
The video image acquisition unit: obtain analog video image with the simulation camera from monitoring scene, be converted to DID by video frequency collection card,
Video image color cast detection unit: be the Lab color space with DID by the RGB color space conversion, judge the colour cast factor of video image at the Lab color space, detect the colour cast factor greater than setting threshold, current video image is passed alarm unit,
Alarm unit: send alarm signal,
Detection method comprises the steps:
1.RGB color space is to the Lab color space conversion:
L component in the Lab color space is used for the brightness of expression pixel, and span is [0,100], and expression is from black to pure white; A represents the scope from the redness to the green, and span is [128,127]; B represents the scope from the yellow to the blueness, and span is [128,127].
With
The abscissa position of certain point in the expression coloured image,
The ordinate position of certain point in the expression coloured image,
The expression pixel
The red R component value of the RGB color space at place,
The expression pixel
The green G component value of the RGB color space at place,
The expression pixel
The blue B component value of the RGB color space at place,
The expression pixel
The L component value of the Lab color space at place,
The expression pixel
The a component value of the Lab color space at place,
The expression pixel
The b component value of the Lab color space at place,
Each pixel of traversal coloured image,
The RGB color space to the method for Lab color space conversion shown under the formula:
Wherein,
Be the width of coloured image,
Be the height of coloured image,
After conversion,
,
,
,
2.Lab color space calculates color histogram:
In the Lab space colouring information of image is added up, the statistical information of color of image obtains by a of image in the Lab color space, the histogram information of b component, uses
Expression Lab color space a divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space b divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space a divides and measures r, and b divides the two-dimensional histogram when measuring q, and wherein, r is variable, all integer values between the traversal 0 to 255, q is variable, all integer values between the traversal 0 to 255, about be the closed interval,
The color histogram of a component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r,
The color histogram of b component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j the b of pixel place component
Whether equal r,
A, the two-dimensional histogram of b component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r and b component
Whether equal q,
Be with 256 computings that round up divided by T, expression will be divided into the T five equilibrium between 256 gray areas, and T can get the arbitrary integer between 2 to 256,
3. calculate the colour cast factor:
After the one dimension of a in calculating the Lab color space, b component, the two-dimensional histogram information, just can be according to one dimension histogram and two-dimensional histogram information, the Absolute Central Moment that difference computed image one peacekeeping two-dimensional color distributes, the mean value of combining image colouring information just can calculate the colour cast factor, the colour cast factor is used for the colour cast degree whether Description Image exists colour cast phenomenon and image, and computational process is as follows:
1) mean value of computed image colouring information,
In the Lab color space, the mean value calculation method of image a, b component color information is as follows:
Wherein,
In the Lab color space
aThe mean value of component,
Be the mean value of b component in the Lab color space,
DBe image in the Lab color space
a,
bThe mean value of component,
2) Absolute Central Moment of computed image one dimension distribution of color,
The computational methods of the Absolute Central Moment M of image one dimension distribution of color are as follows:
Wherein,
Be coloured image a component one dimension distribution of color absolute center distance in the Lab color space,
,
Be coloured image b component one dimension distribution of color absolute center distance in the Lab color space,
,
For coloured image divides the probability that measures r at Lab color space a,
For coloured image divides the probability that measures r at Lab color space b, r is variable, all values between the traversal 0 to 225, and computational methods are as follows:
Wherein, t is variable, traversal all integer values between 0 to 255, about be the closed interval,
Expression expression Lab color space a divide the value of the statistics with histogram when measuring t, computational methods with
Identical, use
Expression Lab color space b divide the value of the statistics with histogram when measuring t, computational methods with
It is identical,
3) Absolute Central Moment of image two-dimensional color distribution:
The Absolute Central Moment that the image two-dimensional color distributes
EdComputational methods are as follows:
Wherein,
,
, T represents can get the arbitrary integer between 2 to 256 with being divided into the T five equilibrium between 256 gray areas, and concrete value is consistent with the value of front T,
4) calculate the colour cast factor:
After the Absolute Central Moment of the mean value that calculates color of image information and the distribution of image one peacekeeping two-dimensional color, the computing formula that can obtain the colour cast factor is as follows:
Wherein, K is the colour cast factor of coloured image, when
The time, think that there is colour cast in image; When
The time, think that there is not colour cast in image, the K value is larger, and the colour cast phenomenon is more serious.
The present invention utilizes image processing techniques that the colour cast situation of video image is analyzed, added on the basis of traditional detection method and to have reacted the Absolute Central Moment that the image two-dimensional color of deviation in various degree distributes, so that exist the chromaticity range of image of colour cast larger, and the chromaticity range of the less image of bias colour or colour cast is little, more concentrated.This factor is joined in the colour cast factor, greatly improved the accuracy that detects.
Description of drawings:
Fig. 1 is the system block diagram of video image color cast detection method in the video quality diagnosis system provided by the invention;
Fig. 2 is the flow chart of video image color cast detection method in the video quality diagnosis system provided by the invention;
Embodiment:
The invention provides the method that a kind of video quality diagnosis system detects the video image colour cast, the system block diagram of the method comprises video image acquisition unit, video image color cast detection unit and alarm unit as shown in Figure 1.
The major function of video image acquisition unit is monitoring scene to be taken and obtained analog video image by the general-purpose simulation camera, then is converted to DID by general video frequency collection card.
The major function of video image color cast detection unit is to be the Lab color space to the color digital image data that will send into computer by computer by the RGB color space conversion, then judges the colour cast factor of video image at the Lab color space.
If at video image color cast detection unit inspection to the colour cast factor of current video image greater than setting threshold, then report to the police, current video image is uploaded alarm unit, the alarm unit here can simply be regarded a display commonly used as, when the colour cast warning occurs, show the printed words of " colour cast occurs reports to the police " at display.
The invention provides the video image color cast detection method in a kind of video quality diagnosis system, the method specifically comprises the steps: shown in Fig. 2
1.RGB color space is to the Lab color space conversion
The DID that gets access to is the RGB three primary colors, compares with the RGB color space, and the design of Lab color space is more near human eye vision, so be the Lab color space with video image by the RGB color space conversion at first.L component in the Lab color space is used for the brightness of expression pixel, and span is [0,100], and expression is from black to pure white; A represents the scope from the redness to the green, and span is [128,127]; B represents the scope from the yellow to the blueness, and span is [128,127].
With
The abscissa position of certain point in the expression coloured image,
The ordinate position of certain point in the expression coloured image,
The expression pixel
The red R component value of the RGB color space at place,
The expression pixel
The green G component value of the RGB color space at place,
The expression pixel
The blue B component value of the RGB color space at place,
The expression pixel
The L component value of the Lab color space at place,
The expression pixel
The a component value of the Lab color space at place,
The expression pixel
The b component value of the Lab color space at place,
Each pixel of traversal coloured image.
The RGB color space to the method for Lab color space conversion shown in formula (1):
(1-b)，
Wherein,
Be the width of coloured image,
Height for coloured image.
Because the colour gamut of Lab color space is very large, is unfavorable for the calculating of computer, therefore this Lab color space is done the conversion such as formula (2), make it be beneficial to processing.
Wherein,
Be the width of coloured image,
Height for coloured image.
After conversion,
,
,
2.Lab color space calculates color histogram:
After color space is converted to the Lab space by rgb space, will add up the colouring information of image in the Lab space.The statistical information of color of image obtains by a of image in the Lab color space, the histogram information of b component.With
Expression Lab color space a divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space b divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space a divides and measures r, and b divides the two-dimensional histogram when measuring q, and wherein, r is variable, all integer values between the traversal 0 to 255, q is variable, all integer values between the traversal 0 to 255, about be the closed interval.
The color histogram of a component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r.
The color histogram of b component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j the b of pixel place component
Whether equal r.
A, the two-dimensional histogram of b component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r and b component
Whether equal q,
For with 256 divided by the computing that rounds up behind the T, expression can be got the arbitrary integer between 2 to 256 with being divided into the T five equilibrium between 256 gray areas, in embodiments of the present invention, with
For example describes, two-dimensional histogram then
Computational methods as follows:
3. calculate the colour cast factor
After the one dimension of a in calculating the Lab color space, b component, the two-dimensional histogram information, just can be according to one dimension histogram and two-dimensional histogram information, the Absolute Central Moment that difference computed image one peacekeeping two-dimensional color distributes, the mean value of combining image colouring information just can calculate the colour cast factor.The colour cast factor is used for the colour cast degree whether Description Image exists colour cast phenomenon and image, and computational process is as follows:
4. the mean value of computed image colouring information
In the Lab color space, the mean value calculation method of image a, b component color information is as follows:
Wherein,
In the Lab color space
aThe mean value of component,
Be the mean value of b component in the Lab color space,
DBe image in the Lab color space
a,
bThe mean value of component.
5. the Absolute Central Moment of computed image one dimension distribution of color
The computational methods of the Absolute Central Moment M of image one dimension distribution of color are as follows:
Wherein,
Be coloured image a component one dimension distribution of color absolute center distance in the Lab color space,
,
Be coloured image b component one dimension distribution of color absolute center distance in the Lab color space,
,
For coloured image divides the probability that measures r at Lab color space a,
For coloured image divides the probability that measures r at Lab color space b, computational methods are as follows:
Wherein, t is variable, traversal all integer values between 0 to 255, about be the closed interval,
Expression expression Lab color space a divide the value of the statistics with histogram when measuring t, in computational methods and the formula (3)
Computational methods identical, use
Expression Lab color space b divide the value of the statistics with histogram when measuring t, in computational methods and the formula (4)
Computational methods identical.
6. the Absolute Central Moment that distributes of computed image two-dimensional color
The Absolute Central Moment that the image two-dimensional color distributes
EdComputational methods are as follows:
Wherein,
,
, T represents can get the arbitrary integer between 2 to 256 with being divided into the T five equilibrium between 256 gray areas, identical in concrete value and the formula (5), in embodiments of the present invention, with
For example describes, the Absolute Central Moment that distributes of image two-dimensional color then
EdComputational methods as follows:
(14)
Wherein,
,
7. calculate the colour cast factor
After the Absolute Central Moment of the mean value that calculates color of image information and the distribution of image one peacekeeping two-dimensional color, the computing formula that can obtain the colour cast factor is as follows:
Wherein, K is the colour cast factor of coloured image, when
The time, think that there is colour cast in image; When
The time, think that there is not colour cast in image, the K value is larger, and the colour cast phenomenon is more serious.In embodiments of the present invention,
, during colour cast,
Be worth greatlyr, the colour cast phenomenon is more serious.
Claims (1)
1. video quality diagnosis system detects the method for video image colour cast, it is characterized in that system comprises:
The video image acquisition unit: obtain analog video image with the simulation camera from monitoring scene, analog video image is converted to DID by video frequency collection card,
Video image color cast detection unit: be the Lab color space with DID by the RGB color space conversion, calculate the colour cast factor of video image at the Lab color space, detect the colour cast factor greater than setting threshold, current video image is passed alarm unit,
Alarm unit: send alarm signal,
Detection method comprises the steps:
(1) the RGB color space is to the Lab color space conversion:
L component in the Lab color space is used for the brightness of expression pixel, and expression is from black to pure white, and a represents the scope from the redness to the green, and b represents the scope from the yellow to the blueness,
With
The abscissa position of certain point in the expression coloured image,
The ordinate position of certain point in the expression coloured image,
The expression pixel
Redness (R) component value of the RGB color space at place,
The expression pixel
Green (G) component value of the RGB color space at place,
The expression pixel
Blueness (B) component value of the RGB color space at place,
The expression pixel
The L component value of the Lab color space at place,
The expression pixel
The a component value of the Lab color space at place,
The expression pixel
The b component value of the Lab color space at place,
Each pixel of traversal coloured image,
The RGB color space is as follows to the method for Lab color space conversion:
Wherein,
Be the width of coloured image,
Be the height of coloured image,
,
,
,
(2) the Lab color space calculates color histogram:
In the Lab space colouring information of image is added up, the statistical information of color of image obtains by a of image in the Lab color space, the histogram information of b component, uses
Expression Lab color space a divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space b divide the value of the statistics with histogram when measuring r, uses
Expression Lab color space a divides and measures r, and b divides the two-dimensional histogram when measuring q, and wherein, r is variable, all integer values between the traversal 0 to 255, q is variable, all integer values between the traversal 0 to 255, about be the closed interval,
The color histogram of a component
Computational methods as follows:
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r,
The color histogram of b component
Computational methods as follows:
,
，
Wherein,
, i pixel of expression Lab color space level, vertical j the b of pixel place component
Whether equal r,
A, the two-dimensional histogram of b component
Computational methods as follows:
,
，
，
Wherein,
, i pixel of expression Lab color space level, vertical j a of pixel place component
Whether equal r and b component
Whether equal q,
Be with 256 computings that round up divided by T, expression will be divided into the T five equilibrium between 256 gray areas, and T can get the arbitrary integer between 2 to 256,
(3) calculate the colour cast factor:
After the one dimension of a in calculating the Lab color space, b component, the two-dimensional histogram information, just can be according to one dimension histogram and two-dimensional histogram information, the Absolute Central Moment that difference computed image one peacekeeping two-dimensional color distributes, the mean value of combining image colouring information just can calculate the colour cast factor, the colour cast factor is used for the colour cast degree whether Description Image exists colour cast phenomenon and image, and computational process is as follows:
1) mean value of computed image colouring information,
In the Lab color space, the mean value calculation method of image a, b component color information is as follows:
，
，
Wherein,
In the Lab color space
aThe mean value of component,
Be the mean value of b component in the Lab color space,
DBe image in the Lab color space
a,
bThe mean value of component,
2) Absolute Central Moment of computed image one dimension distribution of color,
The computational methods of the Absolute Central Moment M of image one dimension distribution of color are as follows:
Wherein,
Be the one dimension distribution of color absolute center distance of coloured image at Lab color space a component,
,
Be the one dimension distribution of color absolute center distance of coloured image at Lab color space image b component,
,
For coloured image divides the probability that measures r at Lab color space a,
For coloured image divides the probability that measures r at Lab color space b, r is variable, all values between the traversal 0 to 255, and computational methods are as follows:
Wherein, t is variable, traversal all integer values between 0 to 255, about be the closed interval,
Expression Lab color space a divide the value of the statistics with histogram when measuring t, computational methods with
Identical, use
Expression Lab color space b divide the value of the statistics with histogram when measuring t, computational methods with
It is identical,
3) Absolute Central Moment of image two-dimensional color distribution:
The Absolute Central Moment that the image two-dimensional color distributes
EdComputational methods are as follows:
，
Wherein,
,
, T represents can get the arbitrary integer between 2 to 256 with being divided into the T five equilibrium between 256 gray areas, and concrete value is consistent with the value of front T,
4) calculate the colour cast factor:
After the Absolute Central Moment of the mean value that calculates color of image information and the distribution of image one peacekeeping two-dimensional color, the computing formula that can obtain the colour cast factor is as follows:
Wherein, K is the colour cast factor of coloured image, when
The time, think that there is colour cast in image; When
The time, think that there is not colour cast in image, the K value is larger, and the colour cast phenomenon is more serious.
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