• Laser & Optoelectronics Progress
  • Vol. 56, Issue 19, 191004 (2019)
Qingpeng Zhang and Yu Cao*
Author Affiliations
  • School of Automation, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China
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    DOI: 10.3788/LOP56.191004 Cite this Article Set citation alerts
    Qingpeng Zhang, Yu Cao. Image Matching Algorithm Based on Exposure and Color Information[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191004 Copy Citation Text show less
    Grayscale contrast. (a) Original grayscale image; (b) grayscale image after algorithm compensation
    Fig. 1. Grayscale contrast. (a) Original grayscale image; (b) grayscale image after algorithm compensation
    Algorithmic framework
    Fig. 2. Algorithmic framework
    Experimental test images. (a)(b) Book matching images; (c)(d) square images with different angles; (e)(f) scenery building images with different angles
    Fig. 3. Experimental test images. (a)(b) Book matching images; (c)(d) square images with different angles; (e)(f) scenery building images with different angles
    Image matching results of Harris-SIFT algorithm with exposure and color information. (a) Matching of Figs. 3 (a) and (b); (b) matching of Figs. 3(c) and (d); (c) matching of Figs. 3(e) and (f)
    Fig. 4. Image matching results of Harris-SIFT algorithm with exposure and color information. (a) Matching of Figs. 3 (a) and (b); (b) matching of Figs. 3(c) and (d); (c) matching of Figs. 3(e) and (f)
    Image matching results for Harris-SIFT algorithm. (a) Matching of Figs. 3 (a) and (b); (b) matching of Figs. 3(c) and (d); (c) matching of Figs. 3(e) and (f)
    Fig. 5. Image matching results for Harris-SIFT algorithm. (a) Matching of Figs. 3 (a) and (b); (b) matching of Figs. 3(c) and (d); (c) matching of Figs. 3(e) and (f)
    FigureNumber of feature pointsTime of feature points detection /s
    Harris-SIFTProposed algorithmHarris-SIFTProposed algorithm
    Fig.3 (a)6439873.312.94
    Fig.3 (c)3155261.491.37
    Fig.3 (e)88412453.472.96
    Table 1. Statistic of feature point detection time of two algorithms
    FigureNumber offeature pointsNumber ofmatchesNumber ofcorrect matchesPercent of correctmatches /%Totaltime /s
    Fig.3 (a)98723221492.244.53
    Fig.3 (b)1186
    Fig.3 (c)5261039289.321.56
    Fig.3 (d)476
    Fig.3 (e)124514612988.364.09
    Fig.3 (f)1023
    Table 2. Accuracy and cost time of the proposed algorithm
    FigureNumber offeature pointsNumber ofmatchesNumber ofcorrect matchesPercent ofcorrect matches /%Totaltime /s
    Fig.3 (a)64319216786.974.99
    Fig.3 (b)746
    Fig.3 (c)3151179883.761.72
    Fig.3 (d)376
    Fig.3 (e)88427923985.664.39
    Fig.3 (f)832
    Table 3. [in Chinese]
    Qingpeng Zhang, Yu Cao. Image Matching Algorithm Based on Exposure and Color Information[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191004
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