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https://open.uns.ac.rs/handle/123456789/16010
Nаziv: | Defuzzification by feature distance minimization based on DC programming | Аutоri: | Lindblad J. Lukić T. Sladoje N. |
Dаtum izdаvаnjа: | 1-дец-2007 | Čаsоpis: | ISPA 2007 - Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis | Sažetak: | We introduce the use of DC programming, in combination with convex-concave regularization, as a deterministic approach for solving the optimization problem imposed by defuzzification by feature distance minimization. We provide a DC based algorithm for finding a solution to the defuzzification problem by expressing the objective function as a difference of two convex functions and iteratively solving a family of DC programs. We compare the performance with the previously recommended method, simulated annealing, on a number of test images. Encouraging results, together with several advantages of the DC based method, approve use of this approach, and motivate its further exploration. | URI: | https://open.uns.ac.rs/handle/123456789/16010 | ISBN: | 9789531841160 | DOI: | 10.1109/ISPA.2007.4383722 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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