Title :
Multiresolution registration of visible and infrared imagery by maximization of mutual information
Author :
Jiang Jing ; Zhang Xue-song
Author_Institution :
Electromech. Eng. Dept., NCIST, Beijing-East, China
Abstract :
We introduce a novel visible/infrared image registration algorithm based on wavelet transform and the maximization of mutual information of images. First, the region of interest (ROI) is determined by searching for the wavelet magnitude maxima in the preprocessing step, and the affine transform is chosen as the image geometrical transform model. Then, the probability density function of grey values is estimated from histogram by means of the Partial Volume (PV) interpolation method. Finally, the simulated annealing algorithm is used to approximate the global optimum. The experimental results show that the algorithm is efficient.
Keywords :
image colour analysis; image registration; image resolution; infrared imaging; probability; simulated annealing; wavelet transforms; affine transform; global optimum; grey values; image geometrical transform model; infrared imagery; multiresolution registration; mutual information maximization; partial volume interpolation method; probability density function; region of interest; simulated annealing algorithm; visible imagery; wavelet magnitude maxima; wavelet transform; Histograms; Image registration; Image resolution; Infrared imaging; Interpolation; Mutual information; Probability density function; Simulated annealing; Solid modeling; Wavelet transforms; image registration; mutual information; visible-infrared image; wavelet transform;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486943
