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Template Matching by the Statistical Reach Feature Method
Author(s) -
Ozaki Ryushi,
Satoh Yutaka,
Iwata Kenji,
Sakaue Katsuhiko
Publication year - 2013
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11478
Subject(s) - robustness (evolution) , computer science , artificial intelligence , template matching , pattern recognition (psychology) , jpeg , feature selection , feature extraction , computer vision , matching (statistics) , data mining , image (mathematics) , mathematics , statistics , biochemistry , chemistry , gene
SUMMARY A novel method for image template matching with robustness to various real‐world disturbances is proposed. The method is based on the statistical reach feature method. The method utilizes the set of signs of differences for selected pairs of points from the template image. The selection is performed from the statistical viewpoint. The concrete description of the method is presented plainly. The selection of thresholds in the method is argued. Experiments with various disturbances including illumination change, occlusion, and JPEG noise are described. Analyses based on the noise models are performed to show the theoretical background of the robustness of the method. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 96(11): 54–69, 2013; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.11478