Anisotropic Dynamic-Morphological-Diffusion for Segmentation of Noisy Color Images

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 ea...

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Bibliographic Details
Published in:Journal of advanced computational intelligence and intelligent informatics 2014-03, Vol.18 (2), p.204-212
Main Authors: Maeda, Junji, Harada, Takehiro, Saga, Sato, Suzuki, Yukinori
Format: Article
Language:English
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Summary: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.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2014.p0204