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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/15686
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| Title: | Dynamic Multilevel Thresholding using Binary Particle Swarm Optimization for Image Segmentation |
| Authors: | Djerou Leila
Dehimi Houssem
Khelil Naceur
Mohamed Batouche |
| Issue Date: | 2009 |
| Abstract: | A new dynamic Multilevel Thresholding method (DMTBPSO), based on Binary Particle Swarm Optimization and Otsu's method, is proposed. This approach can automatically
determine the appropriate number of thresholds as well as the adequate threshold values with saving a significant amount of computing time which is independent from the number of
thresholds. The proposed method is validated by illustrative examples, comparison with the Otsu's method shows its efficiency. |
| URI: | http://hdl.handle.net/123456789/15686 |
| Appears in Collections: | College of Computer and Information Sciences
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