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DEMPSTER-SHAFER'S BASIC PROBABILITY ASSIGNMENT BASED ON FUZZY MEMBERSHIP FUNCTIONS

    https://doi.org/10.1142/9789812834461_0006Cited by:4 (Source: Crossref)
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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.