A Region-based Image Segmentation Approach with KMC Algorithm of Automatic Determination K

摘要：

In this paper, a K-means clustering(KMC) algorithm of automation determination the clustering number K is proposed, and a approach of region-based image segmentation is introduced based on our proposed algorithm. For this approach, firstly, a suitable color space is selected, the features of color, texture, and location are extracted, and the feature space is generated. Then, in this feature space, an image is clustering and separated into some regions by proposed method. Finally, the features of regions are extracted. The proposed approaches and algorithm are described detailedly. Experiment results show the proposed approach has the quick segmentation speed and good segmentation results, and it is fit for regionbased image retrieval system and has the better application value.

作者: Yong-mei Zhou Ai-min Yang Sheng-yi Jiang

作者单位: School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1386-1390

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）