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Proceedings Paper

Image registration and change detection method based on wavelet transform and SURF algorithm
Author(s): Zhaozhen Jiang; Yanhou Zhang; Hao Zhai
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Paper Abstract

Aiming at the accuracy and speed of image change detection, an improved registration algorithm combining wavelet transform and SURF algorithm is proposed, and image change detection is completed by an image adaptive constraint threshold method. Firstly, the image is decomposed based on wavelet transform and the low-dimensional components are coarsely registered by SURF. Then the image is dimension reduced by PCA, and the obtained feature points are coarsely registered according to the bidirectional registration criterion. Then the RANSAC algorithm is used to select the exact one. The registration point is the least-squares fitting registration of the image. Finally, the image is detected by the adaptive constraint threshold method based on the mean ratio difference map based on the precise registration. The experimental results show that the accuracy and speed of the registration algorithm are better than those of SIFT and SURF. The detection method is better and the detection accuracy is improved.

Paper Details

Date Published: 14 February 2020
PDF: 9 pages
Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114291B (14 February 2020); doi: 10.1117/12.2542897
Show Author Affiliations
Zhaozhen Jiang, Army Academy of Artillery and Air Defense Forces (China)
Anhui Province Key Lab. of Polarized Imaging Detection Technology (China)
Yanhou Zhang, Army Academy of Artillery and Air Defense Forces (China)
Anhui Province Key Lab. of Polarized Imaging Detection Technology (China)
Hao Zhai, Army Academy of Artillery and Air Defense Forces (China)
Anhui Province Key Lab. of Polarized Imaging Detection Technology (China)


Published in SPIE Proceedings Vol. 11429:
MIPPR 2019: Automatic Target Recognition and Navigation
Jianguo Liu; Hanyu Hong; Xia Hua, Editor(s)

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