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2018 Volume 43 Issue 5
Article Contents

ZHANG Yong. A QC-Distance Based Shape Matching Approach[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(5): 116-120. doi: 10.13718/j.cnki.xsxb.2018.05.019
Citation: ZHANG Yong. A QC-Distance Based Shape Matching Approach[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(5): 116-120. doi: 10.13718/j.cnki.xsxb.2018.05.019

A QC-Distance Based Shape Matching Approach

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  • Received Date: 17/07/2017
  • Shape context is a classical approach of image description. Constructing the shape feature vectors and the distance measurement method between two vectors are both important. This paper has presented a QC-distance based shape matching approach. Firstly, the relative positional relationship has been calculated between the radial and angular shape contour points, which give shape feature distribution. Secondly, QC is used to measure the distance between two shape feature distributions. Finally, the shape matching has been found through optimization method. Experimental results on handwritten Handwritten Digital Library MINST show that employing the QC-distance for shape matching can offer better performance.
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A QC-Distance Based Shape Matching Approach

Abstract: Shape context is a classical approach of image description. Constructing the shape feature vectors and the distance measurement method between two vectors are both important. This paper has presented a QC-distance based shape matching approach. Firstly, the relative positional relationship has been calculated between the radial and angular shape contour points, which give shape feature distribution. Secondly, QC is used to measure the distance between two shape feature distributions. Finally, the shape matching has been found through optimization method. Experimental results on handwritten Handwritten Digital Library MINST show that employing the QC-distance for shape matching can offer better performance.

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