IMAGE SEGMENTATION BASED ON THE HSI COLOR SPACE AND AN IMPROVED MEAN SHIFT

摘要：

　　A novel image segmentation algorithm based on the HSI color space and an improved mean shift is proposed.The current work is discussed form two perspectives,i.e.,the color space more suitable for human being’s perception is selected and the segmentation algorithm is improved sufficiently.Unlike many of the traditional algorithms,the proposed algorithm is nonparametric and does not require any training base or prior knowledge,operates on the image adaptively.Experimental results reveal that the proposed algorithm can achieve better segmentation performance and has a stronger self-adaptability but less complexity than the comparison methods.Moreover,it is shown that the proposed algorithm can be a promising approach and be extended to more related research areas.

关键词： Image Segmentation Mean Shift Color Space HSI CIE L*a*b*

作者: Zengwei Ju Jiazhong Chen Jingli Zhou

作者单位: School of Computer and Technology,Huazhong University of Science and Technology,Wuhan,China

会议类型: 国际会议

会议名称: 2013IET International Conference on Information and Communication Technologies(IETICT2013)2013IET信息与通信技术国际会议

会议地点: 北京

会议语种:英文

页码: 110-115

在线出版日期: 2013-04-27（万方平台首次上网日期，不代表论文的发表时间）