基于改进YCrCb颜色空间的肤色分割

人脸识别是计算机视觉、模式识别、生物特征识别、图像处理等多学科交叉的一门科学,肤色分割是人脸识别研究中一个重要的步骤。针对基于YCrCb颜色空间的肤色分割在强光下分割不准确的现状,提出了一种基于改进的YCrCb空间的肤色分割方法,本文利用改进YCrCb颜色空间提高了强光下肤色分割的准确性和适应性。实验证明该算法减弱了光线强弱对人脸肤色分割的影响,更加准确的找到人脸区域,误检率较低。

Skin Color Division Base on Modified YCrCb Color Space

Face recognition is a crossed subject of computer vision,pattern identification,biology character identification,and digital image processing.Skin color division is one of the most important steps of face recognition.Aiming at the current condition that the skin color division based on YCrCb color space can't distinguish the face accurately in the strong light,a modified division method of YCrCb color space is put forward to improve the adaptability and accuracy of YCrCb in strong light.The experiment verifies the conclusion that this new method can reduce the influence of light luminance on the human face segmentation operation,therefore it will be more accurate to find the face region and the error ratio is low.