Method for detecting skin color in image

Abstract

The invention discloses a method for detecting a skin color in an image. The method comprises the steps of (1), converting a to-be-detected color image from an original color space to a classified color space of the skin color; (2), detecting a human face, eliminating non-skin parts on the human face, and obtaining a human face skin area; (3) on the color image after color space conversion, acquiring the color of pixels in the human face skin area defined in the step (2) as a skin color sample; (4), establishing a skin color classifier according to the acquired skin color sample; and (5), classifying the whole image in a pixel-by-pixel manner by means of the skin color classifier established in the step (4), marking the pixel points which are classified to the skin color with white color on a skin color detection result image, and otherwise, marking with black color, thereby obtaining the skin color detection result image. The method of the invention can accurately detect different skin colors in the color image which is photographed by different kinds of imaging equipment on various illumination conditions.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for detecting skin color in an image. Background technique [0002] In color images, since skin color information is not affected by human body posture, facial expressions, etc., it is relatively stable, and because skin color is significantly different from the color of most background objects, skin color detection technology is very important in detection, gesture analysis, etc. , object tracking and image retrieval are widely used. The goal of human skin color detection is to automatically locate the naked skin area of ​​the human body from the image, for example, to detect the human face, hands and other areas from the image. [0003] In the prior art, the process of detecting the skin color area is usually implemented based on methods such as single Gaussian model method, mixed Gaussian model method, ellipse skin color model method and the like....

AI Technical Summary

Problems solved by technology

[0004] However, in the process of skin color detection in the existing technology, there may be problems that the skin color area and non-skin color area cannot be accurately divided, which may lead to inaccurate skin color detection results, and skin color detection is affected by complex backgrounds, lighting conditions, and gestures. big impact

Images