期刊
JOURNAL OF COMPUTATIONAL SCIENCE
卷 5, 期 2, 页码 251-257出版社
ELSEVIER
DOI: 10.1016/j.jocs.2013.07.001
关键词
Lip segmentation; Color space; BFO algorithm; Optimal thresholding; IHLS
Image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. One of the most important applications of segmentation is for facial surgical planning. Thresholding method is so common in image segmentation, because it is simple, noise robustness and accurate. In this paper, we recognize and segment the area of lips using optimal thresholding based on bacterial foraging optimization. New color space (IHLS) is introduced in this paper, that it has good performance in facial image segmentation. In order to evaluate the performance of the proposed algorithm, we use three methods to measure accuracy. The proposed algorithm has less computational complexity and error and it is also efficient. (C) 2013 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据