Parallel Image Matching Based on Local Entropy Difference Vector

DOI

10.2991/jcis.2008.112How to use a DOI?

Keywords

image processing, image matching, local entropy difference vector, SIMD

Abstract

This paper presents a novel parallel image matching algorithm based on the local entropy difference vector (LEDV). Spatial information is introduced into the definition of image entropy and a thresholding operation is employed to limit the contribution of a mismatching block to the matching result. The proposed approach confirms the robustness of the LEDV to irradiation distortion, geometric distortion, local noise interference and occlusion, coupled with the transform of image entropy definition to make it suitable for parallel processing, can lead to good matching result, which is validated by experiments on a variety of images in natural environment.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kai-Kun Dong
AU  - Le-Jun Chi
AU  - Li Guo
PY  - 2008/12
DA  - 2008/12
TI  - Parallel Image Matching Based on Local Entropy Difference Vector
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 668
EP  - 671
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.112
DO  - 10.2991/jcis.2008.112
ID  - Dong2008/12
ER  -