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Proceedings Paper

Extraction algorithm of image feature point based on multi-scale fusion information
Author(s): Y. Tian; H. Yuan; Shaoyan Gai
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Paper 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.

Paper Details

Date Published: 16 October 2019
PDF: 5 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051S (16 October 2019); doi: 10.1117/12.2542905
Show Author Affiliations
Y. Tian, Nanjing Normal Univ. of Special Education (China)
H. Yuan, Nanjing Normal Univ. of Special Education (China)
Southeast Univ. (China)
Shaoyan Gai, Nanjing Normal Univ. of Special Education (China)
Southeast Univ. (China)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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