Extraction algorithm of image feature point based on multi-scale fusion information

Y. Tian; H. Yuan; Shaoyan Gai

doi:10.1117/12.2542905

16 October 2019 Extraction algorithm of image feature point based on multi-scale fusion information

Y. Tian, H. Yuan, Shaoyan Gai

Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 112051S (2019) https://doi.org/10.1117/12.2542905
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand

Abstract

In order to extract the key points of weak texture regions in two-dimensional image matching, a linear multi-scale image enhancement matching algorithm based on image fusion technology is proposed in this paper. The algorithm mainly generates the weighted image of the original image according to the saturation, brightness, contrast and other measurement factors, enhances the distribution weight of weak texture, and makes more detail information fusion into the original image through the reconstruction of Gauss pyramid. The experimental results show that the algorithm effectively enhances the details of the weak texture region of the image, and can obtain more feature points for subsequent image matching.

Citation Download Citation

Y. Tian, H. Yuan, and Shaoyan Gai "Extraction algorithm of image feature point based on multi-scale fusion information", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051S (16 October 2019); https://doi.org/10.1117/12.2542905

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