Title :
The Anisotropy for Binary Image Shape Matching
Author_Institution :
Dept. of Comput. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou
Abstract :
Binary image matching plays an important role in pattern recognition and image process. A variety of methods have been proposed that enable the efficient querying of binary image repositories for a desired binary image shape. In this paper, we consider the implications of anisotropy transform on the binary image shape matching. We describe the properties of anisotropy transform and show how this approach can be applied to improve the matching performance of many existing shape matching methods
Keywords :
content-based retrieval; image matching; image retrieval; transforms; visual databases; anisotropy transform; binary image repository; binary image shape matching; image processing; pattern recognition; query processing; Anisotropic magnetoresistance; Content based retrieval; Cybernetics; Geometry; Image matching; Image retrieval; Information retrieval; Machine learning; Pattern matching; Pattern recognition; Q measurement; Shape measurement; Transforms; Anisotropy transform; Image descriptor; Shape matching; Tracking;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258462
