关键词:广义模糊集合论;图象处理;数字减影;目标识别
作者的早期研究成果广义模糊集合论在本文中得到进一步的完善,相对完整系统地探讨了广义模糊集合的性质,并给出了一些新的定义和运算公式。此外还将其运用到图象处理的某些领域如数字减影和目标识别,实验结果证实了它的优越性,显示出广义模糊集合论在图象处理中具有良好的发展前景。
分类号: R318.04; O159
GENERALIZED FUZZY SETTHEORY AND SOME NEW
APPLICATIONS IN IMAGE PROCESSING
Chen Wufan, Xie Xinpeng, HongWensong
(Department of BME, First MilitaryMedical University, Guangzhou 510515,China)
ABSTRACT In this paper, Generalized FuzzySet Theory (GFST), proposed in 1995 by author, has been completed further, the features ofGFST are explored more systematically, and some new definitions and operational formulasare given. Specially, they are applied well to some fields of image processing, such asDigital Subtraction Angiography (DSA) and Object Recognition (OR), and the experimentresults have verified the advantages of GFST, which show that GFST can open brightprospects for applications of image processing.
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