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Proceedings Paper

Structure change detection of images based on biological vision principle
Author(s): Tao Chen; Wenxian Yu; Yongmei Jiang; Yi Su
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Paper Abstract

Conventional methods to detect changes between temporal images are subject to the effect of illumination variance and registration noise. The method proposed in this paper uses the edge structure information in image to detect changes. A new conception based on biological vision principle, named Edge Token, is introduced to describe the edge structure, which is extracted by using a set of Gabor functions on the intensity map of gradient image. Correlation is used to compare the similarity of two Edge Token vectors. In order to reduce the false alarm, a suppression factor is taken to reduce the effect of weak edges. According to the result of the correlation process, decision rule can be made to locate the outline of changed area. The Edge Token based change detection is robust to illumination variance and registration noise. Experiments on simulated data and remote sensing images are presented.

Paper Details

Date Published: 3 November 2005
PDF: 9 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604405 (3 November 2005); doi: 10.1117/12.652278
Show Author Affiliations
Tao Chen, National Univ. of Defense Technology (China)
Wenxian Yu, National Univ. of Defense Technology (China)
Yongmei Jiang, National Univ. of Defense Technology (China)
Yi Su, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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