Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
Copyright policy )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 estimated at pixel level. The effectiveness of the method is demonstrated on synthetic and real images.¡
- French National Centre for Scientific Research France
- UNIVERSITE MARIE ET LOUIS PASTEUR France
- École Navale France
- Université de Sherbrooke Canada
TK7885-7895, Computer engineering. Computer hardware, Electronic computers. Computer science, QA75.5-76.95, Data fusion, image segmentation and image extraction, Basic probability assignment, Demspter-Shafer evidence
TK7885-7895, Computer engineering. Computer hardware, Electronic computers. Computer science, QA75.5-76.95, Data fusion, image segmentation and image extraction, Basic probability assignment, Demspter-Shafer evidence
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).45 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!