JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (12): 43-48.doi: 10.6040/j.issn.1671-9352.3.2014.124

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Contour matching method based on curvature scale space

JIN Yong-gang, WANG Fan, HU Xiao-peng   

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2014-08-28 Revised:2014-10-17 Online:2014-12-20 Published:2014-12-20

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Abstract: An approach for matching and recognizing affine-distorted planar shapes was proposed, which is based on the theory of curvature scale space (CSS). First, the contours were extracted by edge detection algorithm, and then use the PCA whitening method to eliminate the impact of scale, translation and shear. Second, the contour was resampled and the local maximum point was extracted. Final, the array of points was used as descriptor to match. The proposed method was evaluated on MCD shape database, and the experimental results show that the method not only has the higher retrieval ratio but also is robust to affine transformation.

Key words: image registration, curvature scale space, PCA whitening, contour match

CLC Number: 

  • TP391
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