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A discrete approach for polygonal approximation of irregular noise contours

Abstract : Polygonal approximation is often involved in many applications of computer vision, image processing and data compression. In this context, we are interested in digital curves extracted from contours of objects contained in digital images. In particular, we propose a fully discrete structure, based on the notion of blurred segments, to study the geometrical features on such curves and apply it in a process of polygonal approximation. The experimental results demonstrate the robustness of the proposed method to local variation and noise on the curve.
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Submitted on : Monday, August 26, 2019 - 1:22:28 PM
Last modification on : Wednesday, November 3, 2021 - 7:09:02 AM
Long-term archiving on: : Friday, January 10, 2020 - 11:00:39 PM


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Phuc Ngo. A discrete approach for polygonal approximation of irregular noise contours. CAIP 2019 - Computer Analysis of Images and Patterns, Sep 2019, Salerno, Italy. pp.433-446, ⟨10.1007/978-3-030-29888-3_35⟩. ⟨hal-02163606⟩



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