Uneven illumination image matching algorithm combined with single-parameter homomorphic filtering

Pangbin Yang; Yun Gong

doi:10.1117/12.2623459

16 February 2022 Uneven illumination image matching algorithm combined with single-parameter homomorphic filtering

Pangbin Yang, Yun Gong

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 1208315 (2022) https://doi.org/10.1117/12.2623459
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

Aiming at the problem of inaccurate extraction of feature points of unevenly illuminated images and poor matching effect by traditional feature matching algorithms, this paper proposes an AKAZE image matching algorithm combined with single-parameter homomorphic filtering. The algorithm first compensates for the illumination information of the image through single-parameter homomorphic filtering; secondly, it uses the AKAZE algorithm to extract feature points of the image after the single-parameter homomorphic filtering, and then uses Hamming distance as the similarity measure to perform brute force matching on the feature points; Finally, the RANSAC algorithm based on the homography matrix is used for precise matching, and the wrong matching point pairs are eliminated. The experimental results show that the algorithm can not only effectively improve the brightness and contrast of the image, detect more feature points, but also improve the accuracy of matching, which has strong applicability.

Citation Download Citation

Pangbin Yang and Yun Gong "Uneven illumination image matching algorithm combined with single-parameter homomorphic filtering", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 1208315 (16 February 2022); https://doi.org/10.1117/12.2623459

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KEYWORDS

Image filtering

Image enhancement

Databases

Image processing

Nonlinear filtering

Detection and tracking algorithms

Linear filtering

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