An Effective Image Matching Algorithm Based on Rotation Independence

DOI

10.2991/isccca.2013.87How to use a DOI?

Keywords

Image matching, irregular shape, blocking, rotating-independence, circular list

Abstract

Traditional image matching algorithms has poor accuracy in image comparing, such as histogram intersection method. A new image matching algorithm based on the similarity comparison of irregular shape is presented in this paper, which divides the image into a number of irregular regions according to different colors, and extracts the boundary points of the irregular region to compose an irregular shape. The direction and distance is used to comparing the two irregular shapes if the rotation of the image is not considered, otherwise circular list is used to ignore the image rotation. It can be used widely. If two irregular shapes are similar, the two images are considered similar. Experiment proves that this method can effectively improve the image matching accuracy.

Copyright

© 2013, 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  - Xianying Huang
AU  - Weiwei Chen
PY  - 2013/02
DA  - 2013/02
TI  - An Effective Image Matching Algorithm Based on Rotation Independence
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 354
EP  - 357
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.87
DO  - 10.2991/isccca.2013.87
ID  - Huang2013/02
ER  -