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ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib A. Ghosh and S. K. Pal Neural Network, Self-Organization and Object Extraction ABSTRACT Algorithms for object extraction using a neural network are proposed. A single neuron (processor) is assigned here to every pixel for its operation in order to implement the concept of self-organized feature mapping. Both global and local information have been used as input feature. Statistical criteria for obtaining the optimal output are suggested. Theoretical proof for the convergence of the algorithms is also given. The algorithms are found to work well even for noisy input.

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