Optical EngineeringAutomatic visual/IR image registration
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A feature-based approach to visual/IR sensor image registration is presented. This new method overcomes the difficulties caused by the discrepancy in data’s gray-scale characteristics and the problem of feature inconsistency. It employs a wavelet-based feature extractor to locate point features from contours based on local statistics of the image intensity. Matching is carried out at multiresolution levels based on point features. A consistency-checking step is involved to eliminate mismatches. The algorithm is accurate, robust, and fast. It is capable of handling images with considerable translation, scaling, and rotation. Details on the registration algorithm including feature extraction, matching, consistency checking, and the image transformation model are discussed. Experimental results using real visual/IR sensor data are presented.