Image matching based on a fast searching strategy
Bin Zhang · Systems engineering and electronics · 2006
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.