Anisotropic Dynamic-Morphological-Diffusion for Segmentation of Noisy Color Images
2014 ◽
Vol 18
(2)
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pp. 204-212
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In this paper, we propose a modified anisotropic diffusion algorithm using the dynamicmorphological filtering as a new precise edge-preserving smoothing technique for an accurate segmentation of color images with heavy noise. We incorporate a dynamic selection of multiple structuring elements for each pixel in the morphological filter before the anisotropic diffusion in order to improve the ability of edge-preserving smoothing. As a result, noise and unnecessary details of images are effectively smoothed while preserving small image structures before performing a segmentation algorithm. Several simulated examples are presented that demonstrate the effectiveness of the proposed technique.
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2019 ◽
Vol 5
(6)
◽
pp. 128
2010 ◽
pp. 145-154
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2019 ◽
Vol 66
(3)
◽
pp. 507-511
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