AIRCRAFT RECOGNITION BASED ON ISODENSITY AND ORDINARY MOMENTS | ||||
| The International Conference on Electrical Engineering | ||||
| Article 21, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-10 PDF (176.57 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2006.33540 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| A A Somaie1, 2 | ||||
| 1Egyptian Armed Forces.+ | ||||
| 2University of Calgary, Department of Electrical and Computer Engineering, Calgary, Canada. | ||||
| Abstract | ||||
| Abstract The ability to extract and describe the salient features represents the most difficult task of the aircraft recognition systems. In this paper, an aircraft recognition system based on the isodensity lines associated with the three-dimensional reflectivity of the model is illustrated. A recognition algorithm is described, which uses combination of 2-D moments in threedimensional isodensity maps to represent the aircraft as a feature vector containing 2L elements. Using a distance-weighted k-nearest neighbour rule as a classifier, the algorithm achieves a highly recognition rate when applied to 336 test images that represent six aircraft models. The same procedures are applied using the first two components of invariant moments, and the first system was found superior to this system with about 15% using the same number of isodensity lines. | ||||
| Keywords | ||||
| Image processing; moment; Pattern Recognition; Computer Vision | ||||
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