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Journal of Electronic Imaging

Activity driven nonlinear diffusion for color image watershed segmentation
Author(s): Patrick De Smet; Rui Luis V. P. M. Pires; Danny De Vleeschauwer; Ignace Bruyland
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Paper Abstract

Nonlinear diffusion processes and watershed algorithms have been well studied for gray-scale image segmentation. In this paper we extend the use of these techniques to color or multichannel images. First, we formulate a general definition for a nonlinear diffusion process using the concept of an activity image that can be calculated for several image components. Then, we explain how the final activity image, obtained as a result of the nonlinear diffusion process, is fed through a watershed algorithm, yielding the segmentation of the image. The qualitative performance of the algorithm is illustrated with results for both gray-scale and color photographic images. Finally, we discuss the segmentation results obtained using a few well-known color spaces and demonstrate that a color principal component analysis gives the best results.

Paper Details

Date Published: 1 July 1999
PDF: 9 pages
J. Electron. Imaging. 8(3) doi: 10.1117/1.482676
Published in: Journal of Electronic Imaging Volume 8, Issue 3
Show Author Affiliations
Patrick De Smet, Univ. of Ghent (Belgium)
Rui Luis V. P. M. Pires, Univ. of Ghent (Belgium)
Danny De Vleeschauwer, Univ. of Ghent (Belgium)
Ignace Bruyland, RUG (Belgium)


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