• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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A SURF image registration algorithm based on fusion features

QIN Yu1,WU Jing-jing 1,2,AN Wei1,2,ZHANG Mei-juan3   

  1. (1.School of Mechanical Engineering,Jiangnan University,Wuxi 214122;
    2.Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology,Jiangnan University,Wuxi
    214122;
    3.Wuxi Institute of Technology,Wuxi 214122,China)
  • Received:2016-04-07 Revised:2016-08-15 Online:2017-10-25 Published:2017-10-25

Abstract:

The speed-up robust features (SURF) algorithm is a scale-invariant, rotation-invariant and robust
registration algorithm. However, since the color features of the image can be lost, its registration effect
of color images is poor. We therefore propose a SURF registration algorithm based on fusion features.
Firstly, we utilize the color invariant and the double local binary pattern (DLBP) texture features of the
color image to construct the grayscale of fusion features. Meanwhile, we propose an adaptive method to adjust
the weights of fusion features based on the color histogram of the color image. Then, the SURF algorithm is
used to extract and match the feature points on the grayscale of fusion features. Finally, the improved
random sample consensus (RANSAC) algorithm is used to remove the mismatch points. Experimental results show
that the proposed algorithm can effectively increase the feature points and speed up the registration rate
for color images.

Key words: SURF algorithm, color invariant, DLBP texture feature, RANSAC algorithm