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Number-Driven Perceptual Segmentation of Natural Color Images for Easy Decision of Optimal Result
Junji Maeda; Kawano, A.; Saga, S.; Suzuki, Y.;
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Volume 2,
Sept. 16 2007-Oct. 19 2007
Page(s):II - 265
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II - 268
Abstract:
This paper proposes number-driven perceptual segmentation of natural color images using a fuzzy-based hierarchical algorithm for an easy decision of the optimal segmentation result. A fuzzy-based homogeneity measure makes a fusion of the L*a*b* color features and the SGF texture features. Proposed hierarchical segmentation method is performed in four stages: simple splitting, local merging, global merging and boundary refinement. The effectiveness of the proposed method is confirmed through computer simulations that demonstrate an easy determination of the optimal segmentation result.
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