DocumentCode :
2502505
Title :
Research on genetic algorithm based on tabu search for landmark image recognition
Author :
Huang, Yuqing ; Jiang, Hong ; Yang, Jia
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
9270
Lastpage :
9275
Abstract :
To solve the problem of monocular-vision-oriented landmark recognition for mobile intelligent robot marching with complex background, a kind of landmark extraction algorithm which fused with transcendental color information and based on tabu-genetic search algorithm is proposed, and the convergence analysis of this algorithm is presented. Firstly, a novel experiment threshold based on RGB vision model is used for the detection step on the target image, after extracting image edge, the tabu-genetic search algorithm starts to work for recognizing landmark image primitive shape (primitive element), and so landmark contours are extracted for next position and recognition steps. Then, the position information as feedback is conveyed to the grayscale image, the whole landmark is extracted accurately with the second segmentation on the local image that is exclusive to landmark area. Finally, landmarks are recognized by Hopfield neural network. Results issued from experiments on a great number of images in deferent scenes show that a satisfied recognition effect has reached that landmarks can be recognized fast and efficiently.
Keywords :
Hopfield neural nets; edge detection; genetic algorithms; image colour analysis; image fusion; image segmentation; intelligent robots; mobile robots; neurocontrollers; robot vision; search problems; shape recognition; Hopfield neural network; RGB vision model; genetic algorithm; grayscale image; image edge extraction; image fusion; image segmentation; landmark extraction algorithm; landmark image primitive shape recognition; mobile intelligent robot marching; monocular-vision-oriented landmark image recognition; tabu search; target image detection; transcendental color information; Algorithm design and analysis; Convergence; Data mining; Genetic algorithms; Image color analysis; Image edge detection; Image recognition; Information analysis; Intelligent robots; Target recognition; convergence; genetic algorithm; landmark recognition; neural network; tabu search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594398
Filename :
4594398
Link To Document :
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