JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (2): 1-7.doi: 10.6040/j.issn.1672-3961.0.2016.377

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Modified target recognition algorithm based on template matching

DING Xiaoling1,2,3, ZHAO Qiang1,4, LI Yibin1*, MA Xin1   

  1. DING Xiaoling1, 2, 3, ZHAO Qiang1, 4, LI Yibin1*, MA Xin1(1. School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China;
    2. Mechanical &
    Electronic Engineering College, Shandong Agricultural University, Tai'an 271018, Shandong, China;
    3. Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Tai'an 271018, Shandong, China;
    4. Shandong Power Equipment Company, LTD, Jinan 250022, Shandong, China
  • Received:2016-10-21 Online:2018-04-20 Published:2016-10-21

Abstract: Because the local feature extraction algorithm got low recognition rate for poor texture object and it could not recognize the same object from different perspective. A modified target recognition algorithm was proposed. The algorithm used gradient characteristics as features to complete the template matching, which only used the main direction of the gradient and the minor gradient feature was removed by DOT(dominant orientation templates)algorithm. The template feature, which was made binary by fusing affine projection transformation algorithm, could improve the recognition rate of identifying multiple objects at the same time or the same object from different perspective. The experiments demonstrated that the proposed algorithm could get better recognition rate and was robust for the object with poor texture, small deformation, small translation and light transformation.

Key words: template characteristics of binary, affine projection transformation, template matching, the dominate gradient direction, target recognition algorithms

CLC Number: 

  • TP391.4
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