计算机工程2017，Vol.43Issue(6)：230-235,6.DOI:10.3969/j.issn.1000-3428.2017.06.037
基于细菌觅食优化算法的多色彩空间嘴唇分割
Lip Segmentation in Multi-color Space Based on Bacterial Foraging Optimization Algorithm
摘要
Abstract
This paper proposes a lip contour extraction algorithm based on a multi-color space processing,Bacterial Foraging Optimization Algorithm (BFOA) and key endpoints localization methods.The color space conversion is applied for the lip image,color enhancement and color segmentation is used in different color space over the lip image.The method of BFOA combined with Kapur maximum entropy threshold method are applied to obtain the best threshold of the lip region,achieving accurate lip segmentation.An adaptive binarization is performed to the resulted image to extract key points along the lip edge.Using the key points as inputs,it fits the lip edge contour based on the least square criterion and extracts outer contour of the lip precisely.Experimental result shows the strong lip segmentation robustness and higher recognition accuracy of the proposed method.关键词
视觉语言/细菌觅食优化算法/嘴唇分割/边缘关键点/边缘提取/曲线拟合Key words
visual language/Bacterial Foraging Optimization Algorithm(BFOA)/lip segmentation/edge key points/edge extraction/curve fitting分类
信息技术与安全科学引用本文复制引用
鲁远耀,郭振芳..基于细菌觅食优化算法的多色彩空间嘴唇分割[J].计算机工程,2017,43(6):230-235,6.基金项目
国家自然科学基金(61571013) （61571013）
北京市自然科学基金(4143061). （4143061）
