Silhouette Extract from Human Body Image Based on Color Clustering Analysis

摘要：

Silhouette of a human body carries lots of important information, and many measures required for garment design can be taken directly from it. In this paper, silhouette extraction from human body color image was focused. The clustering centers of color were determined from the gray histograms of RGB color space. The clustering analysis was carried out based on Euclidean distance. The images were further processed by using the algorithms of filling holes, closing and erosion, and the silhouettes were extracted from the processed images. The extracted smooth and closed silhouettes confirmed that the proposed method was effective to process human body images.

关键词： Silhouette Human body image Color segmentation Closing Filling holes

作者: Kuang Cai-yuan Liu Guo-lian

作者单位: College of Material Engineering, Soochow University No. 178, East Ganjiang Road, 215021, Suzhou, Chi College of Material Engineering, Soochow University No.178, East Ganjiang Road, 215021, Suzhou, Chin

会议类型: 国际会议

会议名称: 第六届中国国际丝绸会议暨第二届国际纺织高层论坛(The 6th China International Silk Conference and The 2nd International Textile Forum)

会议地点: 苏州

会议语种:英文

页码: 303-305

在线出版日期: 2007-09-13（万方平台首次上网日期，不代表论文的发表时间）