Image Registration Algorithm Based on Regional Histogram Divergence and Wavelet Decomposition

This paper presents new methods that have been developed for registration of gray scale image, these methods are based on improve the registration precision and the ability of anti-noise, the image registration process was based on analyzed the situation of the point set of histogram, and defined the formula of the histogram divergence. To speed up searching the registration parameters, all were done in the wavelet field and a hybrid algorithm based on genetic algorithm and Powell's method was used to optimize this parameters. Experimental results proved the algorithm can apply wider optimization methods and have better anti-noise robustness performance.