Abstract
The paper proposes a neural network organized in three structures , each of which is constituted by a set of levels . The lower structure is made up of two layer groups the first one filters the high frequency noise , while the second one is sensitive to scarcely lighted images . Finally the third structure detects contour and position of regions . The network uses neurons of C , S and V type in analogy to Fukushima Neo-Cognitron . A simulation program has been implemented, which shows good throughput in spite of network complexity.
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© 1997 Springer-Verlag Berlin Heidelberg
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Cucurachi, G., Tascini, G., Piazza, F. (1997). Neural network for region detection. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_127
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DOI: https://doi.org/10.1007/3-540-63508-4_127
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