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A 'no-threshold' histogram-based image segmentation method

delete2002-10-01
delete40
PRE
AI
N
N. Bonnet *
J
Jérôme Cutrona
M
Michel Herbin
DOI：10.1016/S0031-3203(02)00057-2delete
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Abstract

Abstract

En 中文
Although most histogram-based image segmentation methods rely on the identification of a good threshold, we show that thresholding is not mandatory. Instead, we propose the association of grades of membership to each individual pixel. in order to perform probabilistic relaxation in the image space (which realizes some kind of regularization) and finally to obtain the segmented image through defuzzyfication of the relaxed grades of membership. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keywords:
image
segmentation
fuzzy logic
probabilistic relaxation
probability density
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AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

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