Title :
A Corner Feature Matching Model Based on Improved Hausdorff Distance
Author :
Xu, Gang ; Yang, Wenxian
Author_Institution :
Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
A new corner detection algorithm is proposed to get image corners, and then a novel improved partial Hausdorff distance is presented as the similarity measure between the template and images. Finally, a genetic algorithm with the probabilities of crossover and mutation self-adaption based on fuzzy control is used to search the optimum matching quickly. The experimental results show that the matching model composed of these algorithms is capable of fast and effective image matching and has higher speed and better quality compared with other similar matching algorithms.
Keywords :
feature extraction; fuzzy control; genetic algorithms; image matching; probability; Hausdorff distance; corner detection algorithm; crossover probability; feature matching model; fuzzy control; genetic algorithm; image matching; mutation self-adaption algorithm; Automation; Computer vision; Data mining; Detection algorithms; Fuzzy control; Genetic algorithms; High definition video; Image matching; Power engineering and energy; Power engineering computing; Hausdorff distance; corner extraction; feature matching; fuzzy control; genetic algorithm;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.231
