Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
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 e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2004-04-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/68 |