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粗糙集理论及其在图像处理中的应用
Rough Sets Theory and Its Applications in Image Processing
【摘要】 首先描述了粗糙集理论的基本概念,包括粗糙集知识表示方法和粗糙集约简理论;叙述了粗糙集理论及其与其他非线性理论相结合在图像处理中的应用情况;最后指出了粗糙集理论应用于图像处理的基本思路,并指出将粗糙集理论与其他非线性理论相结合应用于图像处理,将会产生更加有效的结果。
【Abstract】 This paper introduced first the basic concepts of rough sets theory,including rough sets knowledge representation methods and rough sets reduct theory.Second it described the application of rough sets theory and its combination with other non-linear theories in image processing.Finally,it proposed the basic way of using rough sets theory in image processing and indicated that it would produce better results by using the combination of rough sets theory and other non-linear theories in image processing.
【关键词】 粗糙集;
知识系统;
不确定性;
图像处理;
【Key words】 rough sets; knowledge system; uncertainty; image processing;
【Key words】 rough sets; knowledge system; uncertainty; image processing;
【基金】 国家自然科学基金资助项目(60572011/f010204);甘肃省自然科学基金资助项目(YS021-A22-00910)
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2007年04期
- 【分类号】TP391.41
- 【被引频次】42
- 【下载频次】744