Title: Image Segmentation using fuzzy logic and genetic algorithms
Authors: Abdulghafour, M.
Citation: Journal of WSCG. 2003, vol. 11, no. 1-3.
Issue Date: 2003
Publisher: UNION Agency – Science Press
Document type: článek
URI: http://wscg.zcu.cz/wscg2003/Papers_2003/J47.pdf
ISSN: 1213-6972
Keywords: genetický algoritmus;fuzzy logika;segmentace obrazu
Keywords in different language: genetic algorithm;fuzzy logic;image segmentation
Abstract: Genetic algorithms (GAs) and fuzzy logic (FL) have been playing important roles in solving many problems in pattern recognition and image processing. This paper presents a hybrid approach of GAs and FL that is used to fuse (combine) extracted features from intensity and range images. GAs are used to help construct member- shi functions that are necessar to classif the stren th of existence of ima e features through FL. Since range and intensity images provide different types of sensory modality, fusing the extracted features from these images reveals more accurate info- rmation about the scene. The extracted features are fused to generate a segmented image of the scene. The segmented image is compared with its ideal counterpart for the purpose of experimental evaluation.
Rights: © UNION Agency – Science Press
Appears in Collections:Volume 11, number 1-3 (2003)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/1648

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