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
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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
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