Neural Abstraction Pyramid: A Hierarchical Image Understanding Architecture - Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEE
نویسنده
چکیده
AbdmctA hierarchical neural architecture for image interpretation is proposed that is based on image pyramids and cellular neural networks and that is inspired by the principles of information processing found in the visual cortex. Algorithms for this architecture are defined in terms of local interactions of processing elements and utilize horizontal as well as vertical feedback loops. The goal is to transform a given image into a sequence of representations with increasing level of abstraction and decreasing level of detail. A first application, the binarhation of handwriting, has been implemented and shown to improve the acceptance rate of an automatic ZIP-code recognition system without dec-ig its reliability. Keywords-image interpretation, cellular neural networks, hierarchy, image pyramids, horizontal and vertical feedback, binarization.
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BEHNKE AND ROJAS: NEURAL ABSTRACTION PYRAMID, IJCNN'98 1 Neural Abstraction Pyramid: A hierarchical image understanding architecture
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