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
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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