Parallel Image Matching Based on Local Entropy Difference Vector
Kai-Kun Dong1, Le-Jun Chi, Li Guo
1School of Computer Science Engineering Daqing Petroleum Institute Daqing
Available Online December 2008.
- 10.2991/jcis.2008.112How to use a DOI?
- image processing, image matching, local entropy difference vector, SIMD
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.
- © 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/).
Cite this article
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 -