结合粒子群算法和肤色的人脸特征定位与分割

LI Zhi-jie
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引用次数: 0

摘要

提出了一种利用粒子群算法和肤色对人脸和面部特征进行定位和分割的新方法。在预处理阶段,由初始彩色图像得到分割后的人脸图像。为了实现这一目标,采用粒子群算法搜索最佳人脸区域。然后,基于人脸图像的边缘密度,利用粒子群算法对人眼区域进行定位。然后,利用皮肤分割的颜色分量定位嘴唇区域;最后,根据眼睛和嘴唇的结果对鼻子区域进行分割。仿真结果表明,该混合方法是准确有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LOCATION AND SEGMENTATION OF FACIAL FEATURES COMBINING PSO ALGORITHM AND SKIN COLOR
A new method using PSO algorithm and skin color for the location and segmentation of  face and facial features is proposed. In the preprocessing stage, segmented face image is  obtained from initial color image. To achieve this goal, PSO algorithm is applied to search for the best face region. Then, based on the edge density of face image, eye region is located with PSO. Then, lips region is located using color component of skin segmentation. Finally, nose region is segmented based on the result of eyes and lips. The Simulation results show that this hybrid method is accurate and effective.    
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