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《Systems Engineering and Electronics》 2006-11
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Image matching based on a fast searching strategy

KONG Hua-sheng,ZHANG Bin(Engineering Coll.,Air Force Engineering Univ.,Xi'an 710038,China)  
Image matching based on grey cross-correlation,has been widely applied to various field because of its high matching probability.But the searching strategy of conventional grey cross-correlation algorithm is ergodic,the speed of matching is slow.To improve the speed of image matching,a global and parallel hillclimbing searching strategy are presented,which realized non-ergodic searching and can be used to find the best matching point very quickly,also introduced a searching path-table to marker the point which had been searched.Experiment show that this approach has high speed and accuracy in image matching.
【CateGory Index】: TP391.41
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