DocumentCode :
1111409
Title :
The Application of Filtered Transforms to the General Classification Problem
Author :
Carl, Joseph W. ; Hall, Charles F.
Author_Institution :
Mathematics and Analysis Branch, Aerospace Medical Research Laboratories, Wright-Patterson Air Force Base
Issue :
7
fYear :
1972
fDate :
7/1/1972 12:00:00 AM
Firstpage :
785
Lastpage :
790
Abstract :
An image classification model based on nearest prototypes in filtered Fourier and Walsh transform domains is presented. A computer simulation of the model applied to handwritten English letters, Russian letters, numerals, and electromagnetic signals is also presented. Experiments to date fail to refute the working hypothesis that generalized harmonic analysis can be used to reliably classify alphabet characters, time-varying signals, and other images.
Keywords :
Feature extraction, Fourier transform, Hadamard transform, image classification, image processing, pattern recognition, Walsh transform.; Application software; Automation; Biomedical imaging; Feature extraction; Fourier transforms; Geophysics computing; Image classification; Image processing; Optical computing; Pattern recognition; Feature extraction, Fourier transform, Hadamard transform, image classification, image processing, pattern recognition, Walsh transform.;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/T-C.1972.223582
Filename :
1672175
Link To Document :
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