计算机工程与应用Issue(21)：171-174,237,5.DOI:10.3778/j.issn.1002-8331.1211-0298
基于积分图和粒子群优化的肤色分割
Skin segmentation based on integral image and particle swarm optimization
摘要
Abstract
To segment the skin color area faster, this paper puts forward a method to look for the best segmentation threshold point with integral image and particle swarm optimization based on the basic 2D Ostu method. The method uses two-dimen-sional gaussian skin model in the YCbCr color space with a color compensation picture to gain the skin probability graph, and then confirms the particle swarm optimization’s objective function by the 2D Ostu algorithm, and calculates the func-tion’s value with the integral image. The method can get the best threshold point effectively and can shorten the calcula-tion at the same time. Experiments show that the method can segment the skin color area effectively and quickly.关键词
肤色分割/高斯肤色模型/Ostu算法/积分图/粒子群优化Key words
skin segmentation/gaussian skin model/Ostu algorithm/integral image/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
朱志亮,刘富国,陶向阳,刘晓山..基于积分图和粒子群优化的肤色分割[J].计算机工程与应用,2014,(21):171-174,237,5.基金项目
江西省光电子与通信重点实验室开放基金（No.2011001）；江西师范大学博士启动基金（No.4029）。 （）
