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April 16, 2004ELCVIA Electronic Letters on Computer Vision and Image AnalysisOpen Access

Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions

Abdel‐Ouahab Boudraa Ayachi Bentabet F. Salzenstein

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Abstract

In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram. No assumption is made about the images data distribution. bpa is estimated at pixel level. The effectiveness of the method is demonstrated on synthetic and real images.¡

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Cite This Study

Boudraa et al. (2004) studied this question.

synapsesocial.com/papers/6a7ca5db041f7ddee0ba60e9 https://doi.org/10.5565/rev/elcvia.68

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