吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1793-1798.doi: 10.13229/j.cnki.jdxbgxb201406039

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Zircon image matching method based on description of SIFT feature by LBP

QIU Chun-ling1, TAO Qiang1, FAN Run-long2, WANG Pei-zhi1   

  1. 1.College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130022,China;
    2.Institute of Geology Chinese Academy of Geological Sciences, Beijing 100037, China
  • Received:2013-07-26 Online:2014-11-01 Published:2014-11-01

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Abstract: In order to solve the problem of high computational complexity and low matching speed of the traditional Scale Invariant Feature Transform (SIFT) algorithm, a new method of feature description using Local Binary Patterns (LBPs) was proposed. This method was used to describe the zircon image feature points detected by SIFT algorithm. The dimensionality of the feature vector was reduced using Principal Component Analysis (PCA), and the descriptor matching was carried out with Euclid Distance. The new description method of LBPs has a more simple calculation, and this algorithm has excellent features of rotation invariance and illumination invariance. The descriptor matching is faster after PCA dimension reduction. Experimental results show that this method meets the requirements of automated sample search, and significantly improves the matching speed of zircon images, improves the efficiency of the instrument.

Key words: computer application, image matching, SIFT algorithm, local binary patterns, principal component analysis(PCA)

CLC Number: 

  • TP391
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