Aircraft Identification by Moment Invariants
- 1 January 1977
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-26 (1) , 39-46
- https://doi.org/10.1109/tc.1977.5009272
Abstract
Although many systems for optical reading of printed matter have been developed and are now in wide use, comparatively little success has been achieved in the automatic interpretation of optical images of three-dimensional scenes. This paper is addressed to the latter problem and is specifically concerned with automatic recognition of aircraft types from optical images. An experimental system is described in which certain features called moment invariants are extracted from binary television images and are then used for automatic classification. This experimental system has exhibited a significantly lower error rate than human observers in a limited laboratory test involving 132 images of six aircraft types. Preliminary indications are that this performance can be extended to a wider class of objects and that identification can be accomplished in one second or less with a small computer.Keywords
This publication has 6 references indexed in Scilit:
- The Distance-Weighted k-Nearest-Neighbor RuleIEEE Transactions on Systems, Man, and Cybernetics, 1976
- Identification of Three-Dimensional Objects Using Fourier Descriptors of the Boundary CurveIEEE Transactions on Systems, Man, and Cybernetics, 1974
- Automatic Ship Photo Interpretation by the Method of MomentsIEEE Transactions on Computers, 1971
- Feature extraction: A surveyProceedings of the IEEE, 1969
- Euler angle transformationsIEEE Transactions on Automatic Control, 1966
- Visual pattern recognition by moment invariantsIEEE Transactions on Information Theory, 1962