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《JOURNAL OF INFRARED AND MILLIMETER WAVES》 1999-02
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FAST IMAGE CORRELATIVE MATCHING BASED ON GENETIC ALGORITHM

ZHU Hong ZHAO Yi Gong (Department of Measurement control and Equipment, Xidian University, Xi’an, Shaanxi 710071, China)  
The problem of image correlative matching was studied by means of genetic algorithm and a fast image correlative matching algorithm was presented. With the condition of optimum matching, the computation amount of the algorithm was reduced more than 10 times compared with SSDA algorithm. The NPROD matching criterion can be employed in this algorithm to improve the matching precision for the case of low image contrast. The computation time is nearly constant for matching each frame of images in the presented algorithm, which brings convenience to the practical application.
【Fund】: 国防预研基金
【CateGory Index】: TP751.2
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