A Novel Similarity-Based Approach for Image Segmentation

摘要：

In this paper we propose a similarity-based approach which segments an image into different regions according to a similarity measurement C which reflects the relationship between a pixel and its neighborhood. We assume that each pixel in the same region should have a similar relationship with its neighborhood. On the basis of this assumption, we divide the range of C into several sub-ranges. Those pixels whose Cs belong to the same sub-range would be segmented to the same region. Furthermore, in order to process those pictures with too much detailed information which could affect the result of segmentation, we present an information-lessening method to reduce unnecessary details. Experimental results have demonstrated that the novel segmentation approach can work effectively.

关键词： Image Segmentation Intensity Tezture Similarity Convolution mask

作者: Juan Deng

作者单位: Remote Sensing and Information Engineering School, Wuhan University Wuhan, Hubei, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 36-39

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）