摘要
提出了一种区域逐像素点检测的皮肤识别算法,采用皮肤颜色的聚类性分析方法,实现了人的肤色在YCb Cr空间的数学建模、特征分析和肤色识别.在满足实时性检测要求的前提下,利用彩色空间阈值比较法,在16×16个的图像局部区域内逐像素点进行肤色检测,不需要大量的图像数据存储空间,能够节省系统的硬件资源.仿真结果和FPGA硬件验证均表明,提出的区域逐像素点检测识别方法,便于硬件实现,相对于传统的皮肤识别算法,占用的存储资源更少,并能够满足实时性皮肤识别的要求.
Local skin recognition algorithm detecting skin pixel by pixel was presented. This algorithm realized mathematical modeling, feature analysis and skin color detection in the YCb Cr space. It reliably recognizes 16 by 16 skin areas pixel by pixel in the video, which using threshold value comparison under the color space, and it can also meet the requirement of real-time detection without numerous hardware storage resources. The simulation results and verification based on FPGA shows that the proposed detection algorithms is easier to implement in hardware, use less storage resource compared with the traditional skin recognition algorithm. And it also could meet the requirement real-time skin detection.
引文
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