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- W1963967197 abstract "A new algorithm for dominant point detection in chain-coded contours is presented. The algorithm directly operates on the chain-code link values. No computation of the (x,y) co-ordinates of the contour points is done, nor any classical computation of the curvature or its derivative. Instead, a dynamic neural network traverses the contour giving a measurement of the relevance of each point, further and simple processing provides the dominant points. The network is trained with the result that a classical dominant point detection algorithm gives for the training contours, and using as training set a number of contours extracted from natural images. Results with real and test images are presented that show the reliability of the proposed algorithm. Since this algorithm is based on applying a neural network to the contour, it significantly reduces the execution time of existing dominant point detection algorithms. Computational time measurements are presented." @default.
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- W1963967197 date "1996-01-01" @default.
- W1963967197 modified "2023-09-24" @default.
- W1963967197 title "A neural network-based algorithm to detect dominant points from the chain-code of a contour" @default.
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- W1963967197 doi "https://doi.org/10.1109/icpr.1996.547439" @default.
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