Title :
A multi-modal automatic image registration technique based on complex wavelets
Author :
Ghantous, Milad ; Ghosh, Somik ; Bayoumi, Magdy
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA, USA
Abstract :
Image registration is considered one of the most fundamental and crucial pre-processing tasks in digital imaging. This paper describes a fast multimodal automatic image registration algorithm that handles the alignment of IR and visible images. A multiresolution approach based on dual tree-complex wavelet transform is employed to speed up the process. At the coarsest level, an accurate registration estimate for higher levels is achieved, using edge detection and cross correlation. Mutual information, on the other hand, is applied at higher levels as a matching criterion applied to the six orientation bands of the complex wavelet. The process is completely automatic, and was tested on several sets of synthetic and real data. Experimental results show that the proposed technique exhibits better accuracy than DWT-based algorithms for uni and multi-modal cases.
Keywords :
correlation methods; edge detection; image fusion; image registration; image resolution; trees (mathematics); wavelet transforms; IR images; cross correlation; digital imaging; dual tree-complex wavelet transform; edge detection; image fusion; multimodal automatic image registration technique; multiresolution approach; visible images; Computer vision; Humans; Image analysis; Image edge detection; Image fusion; Image registration; Image sensors; Multimodal sensors; Mutual information; Wavelet transforms; Complex Wavelet Transform; Image Fusion; Image Registration; Multiresolution processing; Mutual Information;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414196