Artificial intelligence

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The Method of the Adaptive Visualization of Images Segmentation Results Based on the Singular Values Decomposition

Akhmetshina L.1, Yegorov A.1
1 Dniepropetrovsk National University named by Oles Honchar

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UDC: 004.93
Publication Language: Russian
Stuc. intelekt. 2015; 20(1-2):36-43

Abstract: This article is devoted to description of the method of the adaptive visualization of images segmentation results based on the singular values decomposition. The proposed algorithm allows enhancing of the clearness and sensitivity of segmentation owing to automation of the choice of the most significant columns of the left singular vectors matrix and the merging with the initial image. The experimental researches of the proposed algorithm abilities on example of the visualizing of the segmentation results of the grayscale and color medical images various physical nature are shown.

Keywords: image processing, segmentation, fuzzy (neuro-fuzzy) clustering, the visualization of the segmentation results, singular values decomposition.

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