光照鲁棒性较强的肤色检测算法

Skin-color detection algorithm with strong robustness in illumination

针对人脸肤色检测效果受光照影响较大的不足,提出了一种稳定性好的肤色检测算法。首先根据人脸左右对称的特性,采用像素修正算法将人脸区域上的过亮或过暗像素点替换为正常亮度下的像素点;然后采用一种根据像素点亮度的不同动态地确定色度阈值的自适应方法进行肤色检测。实验结果表明,相比YCbCr单高斯模型肤色检测等算法,所提算法在强弱不同的光照情况下提高的正检率超过了10%,误检率降低了5%,而且稳定性明显增强。

According to the fact that the performance of skin-color detection is greatly affected by the illumination,a kind of skin-color detection algorithm with good stability was proposed.According to the characteristic of face symmetry,the pixel correction algorithm was used to replace too bright or too dark pixels on the face area with normal ones,and then an adaptive method was used for skin-color detection,in which the corresponding chroma threshold was determined dynamically by the brightness of pixel.The experimental results show that,compared to other algorithms such as the YCbCr single Gauss model for skin-color detection,more than 10％ of positive detection rate was increased and the false positive rate was reduced by 5％ with the proposed algorithm under different light intensity.Moreover,the stability of the proposed algorithm is significantly enhanced.