DocumentCode :
2650029
Title :
Improving the classification accuracy of the method of the moments using aspect ratio normalization
Author :
Rostampour, A. Rahim
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Collins, CO, USA
fYear :
1988
fDate :
0-0 1988
Firstpage :
349
Lastpage :
352
Abstract :
The method of moments has been used in several forms for shape recognition. Due to the dynamic range of the moments, high-order moment elements do not contribute significantly in the classification process and in some cases they reduce the classification accuracy. A normalization procedure, called aspect ratio normalization, which improves the classification accuracy, is discussed. The procedure is applied to a set of data to demonstrate its performance.<>
Keywords :
pattern recognition; aspect ratio normalization; classification accuracy; high-order moment elements; method of moments; shape recognition; Aircraft; Dynamic range; Equations; Gravity; Humans; Loss measurement; Moment methods; Pattern recognition; Pixel; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
ISSN :
0094-2898
Print_ISBN :
0-8186-0847-1
Type :
conf
DOI :
10.1109/SSST.1988.17072
Filename :
17072
Link To Document :
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