JACIII Vol.18 No.2 pp. 204-212
doi: 10.20965/jaciii.2014.p0204


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

Junji Maeda*, Takehiro Harada**, Sato Saga*,
and Yukinori Suzuki*

*Graduate School of Engineering, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido 050-8585, Japan

**Seiko Epson Corporation, 3-3-5 Owa, Suwa, Nagano 392-8502, Japan

October 2, 2013
January 31, 2014
March 20, 2014
anisotropic diffusion, image segmentation, edge-preserving smoothing, mathematical morphology

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.

Cite this article as:
Junji Maeda, Takehiro Harada, Sato Saga, and
and Yukinori Suzuki, “Anisotropic Dynamic-Morphological-Diffusion for Segmentation of Noisy Color Images,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.2, pp. 204-212, 2014.
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