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Proceedings Paper

Infrared image mosaic using point feature operators
Author(s): Zhen Huang; Shaoyuan Sun; Zhenyi Shen; Junjie Hou; Haitao Zhao
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Paper Abstract

In this paper, we study infrared image mosaic around a single point of rotation, aiming at expanding the narrow view range of infrared images. We propose an infrared image mosaic method using point feature operators including image registration and image synthesis. Traditional mosaic algorithms usually use global image registration methods to extract the feature points in the global image, which cost too much time as well as considerable matching errors. To address this issue, we first roughly calculate the image shift amount using phase correlation and determine the overlap region between images, and then extract image features in overlap region, which shortens the registration time and increases the quality of feature points. We improve the traditional algorithm through increasing constraints of point matching based on prior knowledge of image shift amount based on which the weighted map is computed using fade in-out method. The experimental results verify that the proposed method has better real time performance and robustness.

Paper Details

Date Published: 25 October 2016
PDF: 6 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101570L (25 October 2016); doi: 10.1117/12.2244493
Show Author Affiliations
Zhen Huang, Dong Hua Univ. (China)
Digitized Textile & Fashion Technology (China)
Shaoyuan Sun, Dong Hua Univ. (China)
Digitized Textile & Fashion Technology (China)
Zhenyi Shen, Dong Hua Univ. (China)
Digitized Textile & Fashion Technology (China)
Junjie Hou, Dong Hua Univ. (China)
Digitized Textile & Fashion Technology (China)
Haitao Zhao, East China Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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