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Proceedings Paper

Image matching algorithm with color information based on SIFT
Author(s): Xiaoyong Yu; Hao Lei; Yunfei Du; Baopeng Li; Xiaobin Yuan; Wei Gao; Zongxi Song; Peiyun Zheng
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Paper Abstract

Image matching is an important topic in the field of computer vision, in view of high robustness and accuracy, SIFT or the improved methods based on SIFT is generally used for image matching algorithms. The traditional SIFT method is implemented on grayscale images without regard to the color information of images, which may cause decreasing of the matching points and reduction of the matching accuracy. Prevailing color descriptors can effectively add color information into SIFT, however dramatically increase the complexity of algorithm. In this paper, a novel approach is proposed to take advantage of the color information for image matching based on SIFT. The proposed algorithm uses the gradient information of color channel as the compensation of luminance channel, which can effectively enhance the color information with SIFT. Experimental results show that the number of feature points and matching accuracy can be significantly promoted, while the complexity and performance of image matching algorithm are well trade-off.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062E (9 August 2018); doi: 10.1117/12.2502820
Show Author Affiliations
Xiaoyong Yu, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Hao Lei, Xi’an Institute of Optics and Precision Mechanics, CAS (China)
Key Lab. of Electronics and Information Technology for Space Systems (China)
Yunfei Du, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Baopeng Li, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Xiaobin Yuan, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Wei Gao, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Zongxi Song, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Peiyun Zheng, Xi'an Institute of Optics and Precision Mechanics, CAS (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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