The Application of Numerical Analysis Techniques to Pattern Recognition of Helicopters by Area Method

Authors
M Shahrezaee
M.S Alamdari
Department of Mathematic, Imam Hossein Comprehensive University
10.29252/mmr.1.2.51
Abstract
In this paper, a new method to selecting different viewing angles feature vector is introduced to recognition different types of Helicopters. Feature vector 32 components based on characteristics of the shape, Area and a length to describe a binary two-dimensional image was created, shape feature and length feature not only effective but area features effective and were used. New features vector based on the number of components (parameter nf) and the grouping frame (parameter ns ) at 13 various manners were examined and the results showed that nf=400 and ns=5 best mode for the feature vector area marks.
Keywords
Feature extraction
Pattern recognition
Categories helicopter
Feature vector
1. Gorman J.W., Mitchell O.R., Kuhl F.P, "Partial shape recognition using dynamic programming", IEEE Transaction On Pattern Analysis and Machine Intelligence, 10 (1988). 2. Wallace T.P., Wintz P.A., "An efficient three-dimensional aircraft recognition algorithm using normalized fourier descriptors", Computer Graphics and Image Processing, 13 (1980) 99-126. 3. Reeves A.P., Prokop R.J., Andrews S.E., Kuhl F.P., "Three-dimensional shape analysis using moments and fourier descriptor", IEEE Transactions on Pattern Analysis and Machine Intelligence, 10 (1989) . 4. Dudani S.A., Breeding K.J., McGhee R.B., "Aircraft Identification by Moment Invariants", IEEE Transaction on Computers, 26 (1977) 39-46. 5. Andrew K.C., Wong S.W., "Recognition and shape synthesis of 3-D objects based on attributed hypergraphs", IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (1989) 279-289.