Target location for IR image based on IR/visual image registration

Zhao-ying Liu; Fu-gen Zhou; Xiang-zhi Bai

doi:10.1117/12.835865

4 August 2009 Target location for IR image based on IR/visual image registration

Zhao-ying Liu, Fu-gen Zhou, Xiang-zhi Bai

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 738336 (2009) https://doi.org/10.1117/12.835865
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

We propose an effective algorithm of IR target location based on image registration. This approach includes four steps--pre-processing, typical region and feature points extraction, point pattern matching, target location. Firstly, by analying the characters of the visual and IR images, a pre-processing procedure is introduced to improve the IR image quality and to make the gray distribution in IR and visual images more consistent. Secondly, mathematical morphology is used to extract typical regions around the target, and we mark the feature points based on the extracted typical regions. Thirdly, point pattern matching algorithm is applied to realize the preliminary registration of IR/visual images, triangle geometry similarity is utilized as the similarity measure to establish two points set correspondance. Finally, we take twostage location strategy to accurately locate the IR targets, least square method and mutual information theory are applied in the location strategy. Experiment results demonstrate a high rate (above 93%) of success for predicting target location, the results showed that this method can effectively meet the requirement of target detection in low resolution and low contrast IR images.

Citation Download Citation

Zhao-ying Liu, Fu-gen Zhou, and Xiang-zhi Bai "Target location for IR image based on IR/visual image registration", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738336 (4 August 2009); https://doi.org/10.1117/12.835865

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