Combining Self-Organizing Maps and Artificial Bee Colony Algorithm for Image Classification
1. C. C. Hung, H. Ijaz, E. Jung, and B.-C. Kuo # School of Computing and Software Engineering Southern Polytechnic State University, Marietta, Georgia USA # Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan, R. O. C.
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6. Figure 1: Each X i represents one component of the pixel vector for multispectral bands. L denotes the number of bands used. Each neuron in the output layer corresponds to one spectral class where its spectral means are stored in the connection between the inputs and the output neurons.
27. Figure 2. (a) An original image, (b), (c) and (d) results of applying ABC, SOM, and the SOM+ABC algorithm, respectively. (a) An original image (b) ABC (c) SOM (d) ABC + SOM