An Interval Type-2 Fuzzy C-Means Algorithm Based on Spatial Information for Image Segmentation

摘要：

Fuzzy c-means algorithm (FCM) is a classic algorithm used in image segmentation. However, FCM is founded with type-1 fuzzy sets, which cannot handle the uncertainties existing in images and algorithm itself. The interval type-2 fuzzy c-means algorithm (IT2FCM) has better performance on handling uncertainties. But for image segmentation, IT2FCM hasnt taken the spatial information of images into account, which makes the segmentation result not ideal enough. In order to incorporate spatial information, an extension of IT2FCM is proposed here. And the result of image segmentation using the proposed algorithm shows that the algorithm has better performance on suppressing noise and better effects on segmenting images compared with FCM-based algorithms and IT2FCM.

关键词： image segmentation FCM type-2 fuzzy spatial information

作者: Cunyong Qiu Jian Xiao Long Yu Lu Han

作者单位: College of Electrical Engineering Southwest Jiaotong University Chengdu, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 564-568

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）