Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (23): 180-188.DOI: 10.3778/j.issn.1002-8331.1909-0192

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Illumination Uneven Image Registration Algorithm Research Using Surround Suppression

LIU Tian, ZENG Liang   

  1. College of Computer, National University of Defence Technology, Changsha 410073, China
  • Online:2020-12-01 Published:2020-11-30



  1. 国防科技大学 计算机学院,长沙 410073


To solve the problem that the KAZE algorithm does not extract the feature points of the uneven illumination image, an improved KAZE image registration algorithm based on surround suppression is proposed. The main process of the improved algorithm is as follows: Firstly, the surround suppression algorithm is embedded into the nonlinear diffusion equation to achieve better illumination estimation of the image. Secondly, adaptive Gamma correction is applied to the luminance component of the image after illumination estimation. Finally, the image is registered using the improved KAZE algorithm. The experimental results show that the average correct matching rate of the improved algorithm is 48.5 percentage points, 22.1 percentage points, and 20.1 percentage points higher than that of SIFT, SURF, and KAZE algorithms respectively and the recall is increased by 26 percentage points, 5 percentage points, and 5.5 percentage points. The proposed algorithm can effectively reduce mismatches and is widely used in a variety of processing scenarios.

Key words: image registration, feature detection, feature matching, KAZE algorithm, surround suppression



关键词: 图像配准, 特征检测, 特征匹配, KAZE算法, 纹理抑制