Research on techniques of approximate recognition of continuous deformation of images with multi-grey-levels

Authors:
Feng Zhi-quan;Li Yi;Qu Shou-ning
Affiliations:
School of Information and Science Engineering, Jinan University, Jinan, Shandong, P.R. China;School of Information and Science Engineering, Jinan University, Jinan, Shandong, P.R. China;School of Information and Science Engineering, Jinan University, Jinan, Shandong, P.R. China
Venue:
Intelligent information processing II
Year:
2004

Citing 2
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Abstract

A new algorithm of recognition of continuous deformation of the images with multi-gray-levels is put forward in this paper, which the following steps are made: the fist is the adoption of griddings procedures, the other is the classification of continuous deformation into continuous deformation with preserving topological structure and continuous deformation with nonpreserving topological structure, and introduction of a new method approximate identifying continuous deformation. The main characteristics of this algorithm are the flexible modulations between accuracy to calculate and time to process, and so the needs from different applications be satisfied easily. Finally, a few examples are given to test the versatility of the techniques, from which it is verified that the algorithm developed here exhibits good performance.