Study on Low Illumination Simultaneous Polarization Image Registration Based on Improved SURF Algorithm

1st International Conference on Frontiers of Materials Synthesis and Processing

材料科学;化学

Zhang, Wanjun^1 ; Yang, Xu^1

School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun

130012, China^1

关键词: Characteristic point;    Integral images;    Low illuminations;    Matching points;    Points of interest;    Polarization images;    Surf algorithms;    Surf descriptor;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/274/1/012018/pdf
DOI  :  10.1088/1757-899X/274/1/012018

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Registration of simultaneous polarization images is the premise of subsequent image fusion operations. However, in the process of shooting all-weather, the polarized camera exposure time need to be kept unchanged, sometimes polarization images under low illumination conditions due to too dark result in SURF algorithm can not extract feature points, thus unable to complete the registration, therefore this paper proposes an improved SURF algorithm. Firstly, the luminance operator is used to improve overall brightness of low illumination image, and then create integral image, using Hession matrix to extract the points of interest to get the main direction of characteristic points, calculate Haar wavelet response in X and Y directions to get the SURF descriptor information, then use the RANSAC function to make precise matching, the function can eliminate wrong matching points and improve accuracy rate. And finally resume the brightness of the polarized image after registration, the effect of the polarized image is not affected. Results show that the improved SURF algorithm can be applied well under low illumination conditions.