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Edge Detection using Morphological Amoebas Noisy Images
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 Title & Authors
Edge Detection using Morphological Amoebas Noisy Images
Lee, Won-Yeol; Kim, Se-Yun; Kim, Young-Woo; Lim, Jae-Young; Lim, Dong-Hoon;
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Edge detection in images has been widely used in image processing system and computer vision. Morphological edge detection has used structuring elements with fixed shapes. This paper presents morphological operators with non-fixed shape kernels, or amoebas, which take into account the image contour variations to adapt their shape. Experimental results are analyzed in both qualitative analysis through visual inspection and quantitative analysis with PFOM and ROC curves. The Experiments demonstrate that these novel operators outperform classical morphological operations with a fixed, space-invariant structuring elements for edge detection applications.
Noisy images;mathematical morphology;amoeba;edge detection;structuring element;
 Cited by
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