CN107480616B - Skin color detection unit analysis method and system based on image analysis - Google Patents
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Abstract
The invention provides a skin color detection unit analysis method and system based on image analysis. Belongs to the technical field of image processing. The method designs a skin color detection unit self-adaptive determination method based on colorimetric analysis according to the characteristics of skin color detection, and can improve the algorithm execution speed and ensure higher judgment accuracy by setting the proper block size.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a skin color detection unit analysis method and system based on image analysis.
Background
With the rapid development of multimedia technology and computer network technology, video is becoming one of the mainstream carriers for information dissemination. The accurate and rapid skin color detection technology can enhance the effect of double results with little effort no matter face video retrieval or online video beautifying.
If a unified pixel-based judgment method is adopted, although the judgment is accurate, the operation speed of the judgment statement in the algorithm execution is far higher than the conventional addition, subtraction, multiplication and division speed, and the large-scale adoption of the judgment statement can greatly reduce the execution speed of the algorithm, so that the timeliness of the algorithm is influenced, and the negative effect is particularly prominent in the application of high-definition, ultrahigh-definition and high-resolution video images.
If a uniform block-based decision method is employed, the operating speed of the algorithm can be increased. Note that in practical application, scenes are often complex, and situations such as multiple persons, single person, different resolutions, and the like exist. The cured block division cannot meet the complex situation of practical application.
Disclosure of Invention
The embodiment of the invention aims to provide a skin color detection unit analysis method based on image analysis, and aims to solve the problems of low efficiency or low accuracy of the skin color detection unit analysis method in the prior art.
The embodiment of the invention is realized in such a way that a skin color detection unit analysis method based on image analysis comprises the following steps:
step 1: determining the size of the generalized block according to the image resolution;
step2 calculating a first chroma intensity variable Inuk；InukA u chroma intensity variable representing the image;
step 3: if Inu is presentkNot less than Thres, first set the sizef (gmb)k) Setting k to k +1, and then proceeding to Step 6; otherwise, go to Step 4;
wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold; gmbkRepresenting the kth square block, which is referred to as a generalized block for short, wherein the initial value of k is 1;
step 4: calculating a second chroma-strength variable Invk；InvkA v chroma intensity variable representing an image;
step 5: if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) 1, then k is set to k + 1;
wherein,
mbline represents the maximum block one-dimensional size set by the coding standard;
step 6: if k is less than or equal to num, then Step2 is entered; otherwise, ending;
where num denotes the number of generalized blocks into which the picture is divided by the size of the generalized block.
Another objective of an embodiment of the present invention is to provide an image analysis-based skin color detection unit analysis system, which includes:
the generalized block size confirming module is used for confirming the size of the generalized block according to the image resolution;
wherein, QVGA, VGA, 720P are the standard sizes of the images disclosed in the industry; gmbkRepresenting the kth square block, which is referred to as a generalized block for short, wherein the initial value of k is 1; size (gmb)k) One-dimensional ruler for representing generalized blockCun, cun;
a first chroma intensity variable calculation module for calculating a first chroma intensity variable, Inuk＝std(u(i,j)|u(i,j)∈gmbk)；
Wherein u (i, j) represents the u chroma value of the image on the ith line and the jth column; std represents the mean square error; inu (Inu)kA u chroma intensity variable representing the image;
a first chroma strength variable threshold judgment processing module for judging if InukNot less than Thres, first set the sizef (gmb)k) Setting k to be k +1, and entering a judgment processing module; otherwise, entering a second chroma intensity variable calculation module;
wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold, Thres ≦ 16 × mbline/16; mbline denotes the maximum block one-dimensional size set by the encoding standard, and if a picture is not subsequently encoded, i.e., mbline does not exist, mbline is set to size (gmb)k)；
A second chroma strength variable calculation module for calculating a second chroma strength variable Invk＝std(v(i,j)|v(i,j)∈gmbk)；
Wherein v (i, j) respectively represents the v chroma value of the image in the ith line and the jth column; invkA v chroma intensity variable representing an image;
a second chroma strength variable threshold judgment processing module for judging if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) 1, then k is set to k + 1;
wherein,
mbline represents the maximum block one-dimensional size set by the coding standard;
the judgment processing module is used for judging whether k is less than or equal to num, and entering the first chroma intensity variable calculation module; otherwise, ending.
Where num denotes the number of generalized blocks into which the picture is divided by the size of the generalized block.
The invention has the advantages of
The invention provides a skin color detection unit analysis method based on image analysis. The method designs a skin color detection unit self-adaptive determination method based on colorimetric analysis according to the characteristics of skin color detection, and can improve the algorithm execution speed and ensure higher judgment accuracy by setting the proper block size.
Drawings
FIG. 1 is a flow chart of a skin color detection unit analysis method based on image analysis according to a preferred embodiment of the present invention;
fig. 2 is a structural diagram of a skin color detection unit analysis system based on image analysis according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples, and for convenience of description, only parts related to the examples of the present invention are shown. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a skin color detection unit analysis method and system based on image analysis. The method designs a skin color detection unit self-adaptive determination method based on colorimetric analysis according to the characteristics of skin color detection, and can improve the algorithm execution speed and ensure higher judgment accuracy by setting the proper block size.
Example one
FIG. 1 is a flow chart of a skin color detection unit analysis method based on image analysis according to a preferred embodiment of the present invention; the method comprises the following steps:
step 1: the size of the generalized block is determined according to the image resolution.
Wherein, QVGA, VGA, 720P are the standard sizes of the images disclosed in the industry; gmbkRepresenting the kth square block, which is referred to as a generalized block for short, wherein the initial value of k is 1; size (gmb)k) Representing the one-dimensional size of the generalized block.
Step2 calculating a first chroma intensity variable, Inuk＝std(u(i,j)|u(i,j)∈gmbk)。
Wherein u (i, j) represents the u chroma value of the image on the ith line and the jth column; std represents the mean square error; inu (Inu)kRepresenting the u chroma intensity variation of the image.
Step 3: if Inu is presentkNot less than Thres, first set the sizef (gmb)k) Setting k to k +1, and then proceeding to Step 6; otherwise, Step4 is entered.
Wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold value, and Thres is generally less than or equal to 16 × mbline/16; mbline denotes the maximum block one-dimensional size set by the encoding standard, and if a picture is not subsequently encoded, i.e., mbline does not exist, mbline is set to size (gmb)k)。
Step 4: calculating a second chroma-strength variable Invk＝std(v(i,j)|v(i,j)∈gmbk)。
Wherein v (i, j) respectively represents the v chroma value of the image in the ith line and the jth column; invkRepresenting the v chroma intensity variation of the image.
Step 5: if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) Then k is set to k + 1.
Wherein,
the first chromaticity and the second chromaticity are randomly selected, that is, the first chromaticity can be u chromaticity, the second chromaticity can be v chromaticity, or the first chromaticity can be v chromaticity and the second chromaticity can be u chromaticity.
Step 6: if k is less than or equal to num, then Step2 is entered; otherwise, ending.
Where num denotes the number of generalized blocks into which the picture is divided by the size of the generalized block.
Example two
Fig. 2 is a structural diagram of a skin color detection unit analysis system based on image analysis according to a preferred embodiment of the present invention. The system comprises:
the generalized block size confirming module is used for confirming the size of the generalized block according to the image resolution;
wherein, QVGA, VGA, 720P are the standard sizes of the images disclosed in the industry; gmbkRepresenting the kth square block, which is referred to as a generalized block for short, wherein the initial value of k is 1; size (gmb)k) Represents a one-dimensional size of the generalized block;
a first chroma intensity variable calculation module for calculating a first chroma intensity variable, Inuk＝std(u(i,j)|u(i,j)∈gmbk)；
Wherein u (i, j) represents the u chroma value of the image on the ith line and the jth column; std represents the mean square error; inu (Inu)kA u chroma intensity variable representing the image;
a first chroma strength variable threshold judgment processing module for judging if InukNot less than Thres, first set the sizef (gmb)k) Setting k to be k +1, and entering a judgment processing module; and otherwise, entering a second chroma intensity variable calculation module.
Wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold value, and Thres is generally less than or equal to 16 × mbline/16; mbline denotes the maximum block one-dimensional size set by the encoding standard, and if a picture is not subsequently encoded, i.e., mbline does not exist, mbline is set to size (gmb)k)。
A second chroma strength variable calculation module for calculating a second chroma strength variable Invk＝std(v(i,j)|v(i,j)∈gmbk)。
Wherein v (i, j) respectively represents the v chroma value of the image in the ith line and the jth column; invkRepresenting the v chroma intensity variation of the image.
A second chroma strength variable threshold judgment processing module for judging if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) Then k is set to k + 1.
Wherein,
the first chromaticity and the second chromaticity are randomly selected, that is, the first chromaticity can be u chromaticity, the second chromaticity can be v chromaticity, or the first chromaticity can be v chromaticity and the second chromaticity can be u chromaticity.
The judgment processing module is used for judging whether k is less than or equal to num, and entering the first chroma intensity variable calculation module; otherwise, ending.
Where num denotes the number of generalized blocks into which the picture is divided by the size of the generalized block.
It will be understood by those skilled in the art that all or part of the steps in the method according to the above embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, such as ROM, RAM, magnetic disk, optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. A skin color detection unit analysis method based on image analysis is characterized by comprising the following steps:
step 1: determining the size of the generalized block according to the image resolution;
wherein, the generalized block is the kth square block, and the initial value of k is 1;
step2: calculating a first chroma intensity variable Inuk(ii) a The first chroma intensity variable is a u chroma intensity variable of the image;
step 3: if Inu is presentkNot less than Thres, first set the sizef (gmb)k) Setting k to k +1, and then proceeding to Step 6; otherwise, go to Step 4;
wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold; gmbkRepresents the kth square block;
step 4: calculating a second chroma-strength variable Invk(ii) a The second chroma intensity variable is a v chroma intensity variable of the image;
step 5: if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) 1, then k is set to k + 1;
wherein,
mbline represents the maximum block one-dimensional size set by the coding standard;
step 6: if k is less than or equal to num, then Step2 is entered; otherwise, ending;
num represents the number of generalized blocks of the image divided according to the size of the generalized blocks;
the determining the size of the generalized block according to the image resolution specifically includes:
wherein, QVGA, VGA, 720P are standard image sizes; size (gmb)k) Represents a one-dimensional size of the generalized block;
calculating a first chroma intensity variable InukThe method specifically comprises the following steps:
Inuk＝std(u(i,j)|u(i,j)∈gmbk)；
wherein u (i, j) represents the u chroma value of the image on the ith line and the jth column; std represents the mean square error;
the calculated second chroma intensity variable Invk(ii) a The method specifically comprises the following steps:
Invk＝std(v(i,j)|v(i,j)∈gmbk)；
wherein v (i, j) respectively represents the v chroma value of the image in the ith row and the jth column.
2. The method for skin color detection unit analysis based on image analysis as claimed in claim 1,
thres is less than or equal to 16 × mbline/16; mbline represents the maximum block one-dimensional size set by the coding standard; if the picture is not subsequently encoded, i.e. mbline does not exist, mbline is set to size (gmb)k)。
3. The method for analyzing skin color detection units based on image analysis according to claim 2, wherein the first chromaticity and the second chromaticity are randomly selected;
the first chroma is set as v chroma, the second chroma is set as u chroma, and u and v in Step1-Step6 are interchanged.
4. A skin color detection unit analysis system based on image analysis, the system comprising:
the generalized block size confirming module is used for confirming the size of the generalized block according to the image resolution;
wherein, QVGA, VGA, 720P are standard image sizes; gmbkRepresenting the kth square block, which is referred to as a generalized block for short, wherein the initial value of k is 1; size (gmb)k) Represents a one-dimensional size of the generalized block;
a first chroma intensity variable calculation module for calculating a first chroma intensity variable, Inuk＝std(u(i,j)|u(i,j)∈gmbk)；
Wherein u (i, j) indicates that the image is at the secondThe u chroma value of the j column of the i line; std represents the mean square error; inu (Inu)kA u chroma intensity variable representing the image;
a first chroma strength variable threshold judgment processing module for judging if InukNot less than Thres, first set the sizef (gmb)k) Setting k to be k +1, and entering a judgment processing module; otherwise, entering a second chroma intensity variable calculation module;
wherein, sizef (gmb)k) Denotes gmbkOne-dimensional size of skin color detection unit; thres represents the threshold, Thres ≦ 16 × mbline/16; mbline denotes the maximum block one-dimensional size set by the encoding standard, and if a picture is not subsequently encoded, i.e., mbline does not exist, mbline is set to size (gmb)k)；
A second chroma strength variable calculation module for calculating a second chroma strength variable Invk＝std(v(i,j)|v(i,j)∈gmbk)；
Wherein v (i, j) respectively represents the v chroma value of the image in the ith line and the jth column; invkA v chroma intensity variable representing an image;
a second chroma strength variable threshold judgment processing module for judging if Invk<Thres, then set the sizef (gmb) firstk)＝clip(size(gmbk) Mbline), then setting k to k + 1; otherwise, set sizef (gmb) firstk) 1, then k is set to k + 1;
wherein,
mbline represents the maximum block one-dimensional size set by the coding standard;
the judgment processing module is used for judging whether k is less than or equal to num, and entering the first chroma intensity variable calculation module; otherwise, ending;
where num denotes the number of generalized blocks into which the picture is divided by the size of the generalized block.
5. The skin color detection unit analysis system based on image analysis as claimed in claim 4,
the first chromaticity is set as v chromaticity, the second chromaticity is set as u chromaticity, and u and v are interchanged in the above claim 4.
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