Title :
Distorted pattern fusion using wavelet transform
Author :
Wang, Ling ; Tang, Yuan Y. ; Feng, Xiang C.
Author_Institution :
Coll. of Comput. Sci., Sichuan Normal Univ., Chengdu, China
Abstract :
An effective pattern fusion method based on wavelet transform is proposed. After geometric change, corrupt pattern images are obtained from distorted pictures. Considering the special characters of the pattern or text, a novel fusion scheme is then developed to de-noise, register and fuse in order to get a lucid one for further discrimination. The scheme is based on wavelet transform. The efficiency of this new method is verified by experimental results. To our knowledge, it is the first attempt to consider the pattern registration and fusion.
Keywords :
learning (artificial intelligence); pattern recognition; wavelet transforms; corrupt pattern images; de-noise; distorted pictures; fuse; geometric transform; pattern fusion; register; wavelet transform; Computer science; Discrete transforms; Discrete wavelet transforms; Educational institutions; Fuses; Image fusion; Image recognition; Pattern recognition; Solid modeling; Wavelet transforms;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175380
