Automatic registration algorithm based on sensor parameters and image information

Xiaodong Zhou; Songtao Liu; Hao Liu; Xuewei Wang

doi:10.1117/12.654539

3 November 2005 Automatic registration algorithm based on sensor parameters and image information

Xiaodong Zhou, Songtao Liu, Hao Liu, Xuewei Wang

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60440L (2005) https://doi.org/10.1117/12.654539
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

IR and visible sensors are very common sensors adopted in the region of military image fusion, however, since there are less correlation and lack of consistent features between their acquired images, it is very difficult to achieve automatic registration of IR and visible images. In this paper, optoelectronic imaging anti-ship missile is taken as research object, and based on the analysis of its seeker's imaging process, we proposed a new automatic registration algorithm based on sensor parameters and image information. The basic idea of our algorithm is that decomposing the transform model, and simplifying it step by step. For example, the transform of IR and visible image registration is affine. By adjusting sensor parameters, the affine transform can be simplified to rigid transform through eliminating the scaling change between images, and by finding out the centroid of ship target's contour we can further eliminate the translational change between them. After image registration is achieved, the registration effect is assessed by judging whether the sea-sky-lines of the two registered images are in the same position. The final simulation experiments convince us that our algorithm has better performance on solving the difficult registration problem of small target images with different sensors.

Citation Download Citation

Xiaodong Zhou, Songtao Liu, Hao Liu, and Xuewei Wang "Automatic registration algorithm based on sensor parameters and image information", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440L (3 November 2005); https://doi.org/10.1117/12.654539

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