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Class 1 training sets consisting of 10 charac
Image Classification of Markov1 Signals with
Two basis functions of simplifed LSLMT
1 other sections not shown
additions in real APPENDIX basis functions calculating the basis characters Class 1 training classification boundary coded-phase optical processor coded-phase processor Coherent optical column vector correlation matrix decision space digital average filters E V,X eigenvalues eigenvectors eight test images Eight Test Patterns error rate feature space functions of LSLMT image samples implemented to classify impulse response inner product interclass differences ith class K. R. Rao least-squares linear mapping Leger and S. H. light spots linear mapping technique LSLMT for three matched filter maximizes the interclass Mellin transform niter number of image obtain optical correlation optical implementation Optical pattern recognition order Markov process orthogonal output image predetermined locations principles of LSLMT random-phase wave front real-time recognition and classification row vectors S. H. Lee scale invariant shown in Fig spatial filter spot of light statistical pattern recognition Substitution of Eq three classes training set consisting two-dimensional unit vector Vender Lugt