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Proceedings Paper

The registration of dual-modality ship target images based on edge extraction
Author(s): Weimin Zhang; Risheng Wang; Fugen Zhou
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Paper Abstract

In this paper, we study the problem of visible and IR(infrared) ship target image registration with scale changes. We mainly focus on the infrared and visible image feature extraction and matching method. A method based on Force Field Transformation is used to determine the ship target contour area. Canny edge detection method is applied to obtain the edge features. During the process of image registration, we take the cross-correlation as the similarity measure and propose an improved Powell algorithm based on multi-scale searching to optimize the registration parameters. Through the edge fusion results, we can see the corresponding edges are almost overlapped, indicating that the method could achieve satisfying results. Also the average error distance of match is less than one pixel.

Paper Details

Date Published: 5 December 2014
PDF: 8 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 930122 (5 December 2014); doi: 10.1117/12.2072437
Show Author Affiliations
Weimin Zhang, Beihang Univ. (China)
Risheng Wang, Naval Academy of Armament (China)
Fugen Zhou, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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