Efficient dominant point detection based on discrete curve structure

Phuc Ngo 1 Hayat Nasser 1 Isabelle Debled-Rennesson 1
1 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : In this paper, we investigate the problem of dominant point detection on digital curves which consists in finding points with local maximum curvature. Thanks to previous studies of the decomposition of curves into sequence of discrete structures [5–7], namely maximal blurred segments of width ⌫ [13], an initial algorithm has been proposed in [14] to detect dominant points. However, an heuristic strategy is used to identify the dominant points. We now propose a modified algorithm without heuristics but a simple measure of angle. In addition, an application of polygonal simplification is as well proposed to reduce the number of detected dominant points by associating a weight to each of them. The experimental results demonstrate the e and robustness of the proposed method.
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Communication dans un congrès
IWCIA 2015, Nov 2015, Kolkata, India. 2015
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Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson. Efficient dominant point detection based on discrete curve structure. IWCIA 2015, Nov 2015, Kolkata, India. 2015. 〈hal-01218285〉

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