Skin color detection method and apparatus

Abstract

The embodiment of the invention discloses a skin-tone detection method and a skin-tone detection device. The method comprises that: skin-tone pixels collected by a training specimen are clustered in a color space to obtain at least one skin-tone chroma class; a candidate skin-tone region in the training specimen is extracted, the distance between a chroma mean value of the candidate skin-tone region and the center of the skin-tone chroma class is computed, the training specimen is fallen under the skin-tone chroma class with the smallest distance to obtain a training subset corresponding to the skin-tone chroma class; the skin-tone probability distribution and the non skin-tone probability distribution of each training subset are statisticized to obtain a skin-tone probability model that each skin-tone chroma class corresponds to; an image to be detected is received, the candidate skin-tone region of the image to be detected is extracted, the distance between the chroma mean value of the candidate skin-tone region and the center of the skin-tone chroma class is computed, pixels in the image to be detected are made skin-tone discrimination according to the skin-tone probability model that the skin-tone chroma class with the smallest distance corresponds to, and the pixels discriminated as the skin-tone form a skin-tone region image. With the invention, the miss detection rate or the error detection rate of the skin-tone can be decreased.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a skin color detection method and device. Background technique [0002] The goal of human skin color detection is to automatically locate the naked skin area of ​​the human body from the image. Accurate detection of skin areas is of great significance to human body detection and image filtering at this stage. In addition, human skin color detection is also used in occasions such as fast face detection. [0003] The main basis of the existing human skin color detection technology is: under the same lighting conditions, the chromaticity of human skin can be better gathered into a compact set, and it has better separability with the chromaticity of non-skin color background, so that it can be detected by skin color. A probabilistic model that separates skin color from non-skin color. [0004] Commonly used color spaces in skin color detection include three-dimensional color spac...

AI Technical Summary

Problems solved by technology

[0027] (1) If the proportion of a certain type of training samples in the large sample set is small, and the skin color probability contained in the single skin color probability model is low, the images to be detected containing this type of skin color may be missed.

[0028] (2) If the non-skin color background similar to the skin color under a certain lighting condition in the large sample set is the skin color under another lighting condition, the training samples under the other lighting condition account for a large proportion in the entire large sample set, resulting in The background color has a higher probability of skin color in the single skin color probability model, so if the background color is included in the sample to be detected, the background color may be falsely detected as skin color

[0029] The fixed skin color distribution detection method and the skin color probability distribution and Bayesian decision joint detection method are all single skin color model detection methods. To solve the above problems in the single skin color model detection method, adaptive skin color detection such as adaptive skin color probability threshold is proposed in the prior art. technology, but the time complexity of such adaptive detection technology is high

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