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