DocumentCode :
2001795
Title :
Anisotropic dynamic-morphological-diffusion for color image segmentation
Author :
Maeda, Jukai ; Harada, Tatsuya ; Saga, S. ; Suzuki, Yuya
Author_Institution :
Grad. Sch. of Eng., Muroran Inst. of Technol., Muroran, Japan
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
254
Lastpage :
260
Abstract :
In this paper, we present a segmentation method of noisy color images that uses an anisotropic diffusion algorithm and a region-growing algorithm. We propose a modified anisotropic diffusion algorithm as a new precise edge-preserving smoothing technique by using the dynamic morphological filtering. 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 region-growing algorithm. Therefore, the proposed method is suitable for an accurate segmentation of color images with noise. Several simulated examples are presented that demonstrate the effectiveness of the proposed technique.
Keywords :
image colour analysis; image segmentation; smoothing methods; dynamic morphological filtering; dynamic selection; edge-preserving smoothing technique; image structures; modified anisotropic diffusion algorithm; multiple structuring elements; noisy color images; region-growing algorithm; segmentation method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6505048
Filename :
6505048
Link To Document :
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