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 article |
URI: | http://wscg.zcu.cz/wscg2003/Papers_2003/J47.pdf http://hdl.handle.net/11025/1648 |
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) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1648
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