DocumentCode
2503802
Title
A comparative study of moment invariants and Fourier descriptors in planar shape recognition
Author
Ezer, Nejat ; Anarim, Emin ; Sankur, Bulent
Author_Institution
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
fYear
1994
fDate
12-14 Apr 1994
Firstpage
242
Abstract
Recent developments in the area of pattern recognition have brought up various methodologies to the problem of planar shape recognition. In this study, two popular feature sets, namely moment invariants and Fourier descriptors are applied to the problem of classification of 2-D images of airplanes, and their performance is compared vis-a-vis computational load and accuracy. An alternative form of the moment invariant technique, Zernike moments, is also compared with ordinary moment invariants
Keywords
Fourier series; feature extraction; image classification; method of moments; military aircraft; 2-D images; Fourier descriptors; Zernike moments; accuracy; airplane images; classification; computational load; feature sets; military airplanes; moment invariants; pattern recognition; performance; planar shape recognition; Airplanes; Character recognition; Lighting; Marine vehicles; Military aircraft; Military computing; Pattern recognition; Postal services; Reflection; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
Conference_Location
Antalya
Print_ISBN
0-7803-1772-6
Type
conf
DOI
10.1109/MELCON.1994.380923
Filename
380923
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