中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optical intrinsically fuzzy mathematical morphology for gray-scale image processing

文献类型:期刊论文

作者Shao L ; Liu LR(刘立人) ; Li GQ
刊名appl. optics
出版日期1996
卷号35期号:17页码:3109
关键词mathematical morphology cellular logic fuzzy sets
ISSN号0003-6935
中文摘要intrinsically fuzzy morphological erosion and dilation are extended to a total of eight operations that have been formulated in terms of a single morphological operation--biased dilation. based on the spatial coding of a fuzzy variable, a bidirectional projection concept is proposed. thus, fuzzy logic operations, arithmetic operations, gray-scale dilation, and erosion for the extended intrinsically fuzzy morphological operations can be included in a unified algorithm with only biased dilation and fuzzy logic operations. to execute this image algebra approach we present a cellular two-layer processing architecture that consists of a biased dilation processor and a fuzzy logic processor. (c) 1996 optical society of america
语种英语
公开日期2009-09-18
源URL[http://ir.siom.ac.cn/handle/181231/1552]  
专题上海光学精密机械研究所_信息光学开放实验室
推荐引用方式
GB/T 7714
Shao L,Liu LR,Li GQ. Optical intrinsically fuzzy mathematical morphology for gray-scale image processing[J]. appl. optics,1996,35(17):3109, 3116.
APA Shao L,刘立人,&Li GQ.(1996).Optical intrinsically fuzzy mathematical morphology for gray-scale image processing.appl. optics,35(17),3109.
MLA Shao L,et al."Optical intrinsically fuzzy mathematical morphology for gray-scale image processing".appl. optics 35.17(1996):3109.

入库方式: OAI收割

来源:上海光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。