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Image Texture Feature Extraction Research Based on Graph Theory Glowworm Search |
XIONG Juan,WEN Hua |
Huanghuai University, Zhumadian, Henan 463000, China |
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Abstract In order to improve the precision of image texture feature extraction,Graph Theory Glowworm Search algorithm(GTGS) was proposed.Firstly, glowworm was distributed based on hierarchical architecture of graph theory;Secondly, glowworm was updated with differential operation,and moved by roulette wheel method,Euclidean distance was computed each attractiveness of glowworm;Thirdly, dynamic moving length was determined with success and failure of glowworm; Finally, image texture feature extraction model was established and algorithm was given. Simulation shows that GTGS algorithm precision is better, time is less.
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Received: 04 March 2015
Published: 22 March 2016
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