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Optical Engineering

Automatic visual/IR image registration
Author(s): Hui Henry Li; Yi-Tong Zhou
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Paper Abstract

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.

Paper Details

Date Published: 1 February 1996
PDF: 10 pages
Opt. Eng. 35(2) doi: 10.1117/1.600908
Published in: Optical Engineering Volume 35, Issue 2
Show Author Affiliations
Hui Henry Li, HNC Software Inc. (United States)
Yi-Tong Zhou, HNC Software Inc. (United States)


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