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Defuzzification by Feature Distance Minimization Based on DC Programming
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2007 (English)In: 5th International Symposium on Image and Signal Processing and Analysis, 2007: ISPA 2007, 2007, 373-378 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. 373-378 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-12442DOI: 10.1109/ISPA.2007.4383722ISBN: 978-953-184-116-0 (print)OAI: oai:DiVA.org:uu-12442DiVA: diva2:40211
Available from: 2007-12-20 Created: 2007-12-20 Last updated: 2010-05-07Bibliographically approved

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Lindblad, JoakimSladoje, Natasa

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