Self-organizing Fusion Algorithm Applied to Image Segmentation

摘要：

It presents a novel method called self-organizin fusion (SOF) for performing fast image segmentation Characteristics of SOF are explored and discussed, bot theoretically and empirically. The essence of SOF is that object are extracted through alternating processes of updating an merging until convergence. Such concurrent updating creates self-organizing fusion behavior that facilitates identification of regions comprising the same object. The method icomputationally efficient as both updating and merging arconducted in parallel fashion, and since parameters selection idone for local regions, it is able to deal with fairly comple images.

关键词： image segmentation self-organizing fusio algorithm adjacency concurrent merging.

作者: Tianding Chen

作者单位: Institute of Communications and Information Technology,Zhejiang Gongshang University, Hangzhou China 310035

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 189-194

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）