An Effective Image Matching Algorithm Based on Rotation Independence
Xianying Huang, Weiwei Chen
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.87How to use a DOI?
- Image matching, irregular shape, blocking, rotating-independence, circular list
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/isccca.2013.87 ID - Huang2013/02 ER -