Medical Image Thresholding Algorithm Based on Fuzzy Sets Theory

摘要：

Many classical measures partition image according to a single property. Moreover, many schemes suffer from the lack of evaluation of image quality at the global level. This paper proposes a novel image thresholding measure that uses both ultra-fuzzy entropy and ultra-fuzzy similarity properties for grayscale images. The optimal threshold is presented as multi-properties based on type II fuzzy (ultra-fuzzy) sets and comprehensive assessment function. In experiments conducted on various classic images, this algorithm showed notable visual improvement in comparison with common measures.

作者: Jianhua WU Zhaoyu PIAN Li GUO Kun WANG Liqun GAO

作者单位: Northeastern University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）