Edge Detection by Fuzzy Morphological Gradient ((放送方式、放送現業、無線・光伝送)2000 Asia-Pacific Symposium on Broadcasting and Communications)
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概要
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Traditionally, fuzzy sets are utilized to model uncertainty and imprecision in an image data. For tuning morphology to soft decision, the combination of a fuzzy and a morphological operator is the alternative method. This paper proposes the edge detection approach via performing the fuzzy morphological gradient to map a grey-scale image into an edge image. A notable strength of the fuzzy morphological gradient edge detector is that it does not require the use of a threshold and can suppress the below-scale detail. The proposed algorithm has been tested on various imageries, and the results have demonstrated that the proposed method outperforms the traditional morphological gradient techniques.
- 社団法人映像情報メディア学会の論文
- 2000-12-21
著者
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Paithoonwatanakij Kitti
Dept. Of Electronics Faculty Of Engineering King Mongkut's Institute Of Technology Ladkrabang
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Intajag Sathit
Dept. of Industrial Instrumentation Technology