Structure change detection of images based on biological vision principle

Tao Chen; Wenxian Yu; Yongmei Jiang; Yi Su

doi:10.1117/12.652278

3 November 2005 Structure change detection of images based on biological vision principle

Tao Chen, Wenxian Yu, Yongmei Jiang, Yi Su

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 604405 (2005) https://doi.org/10.1117/12.652278
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Tao Chen, Wenxian Yu, Yongmei Jiang, and Yi Su "Structure change detection of images based on biological vision principle", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604405 (3 November 2005); https://doi.org/10.1117/12.652278

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