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Conference Papers Year : 2016

A discrete approach for decomposing noisy digital contours into arcs and segments

Abstract

In the paper, we present a method for decomposing a discrete noisy curve into arcs and segments which are the frequent primitives in digital images. This method is based on two tools: dominant point detection using adaptive tangential cover and tangent space representation of the polygon issued from detected dominant points. The experiments demonstrate the robustness of the method w.r.t. noise.
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Dates and versions

hal-01375089 , version 1 (03-10-2016)

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Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson. A discrete approach for decomposing noisy digital contours into arcs and segments. ACCV Workshop 2016, Nov 2016, Taipei, Taiwan. ⟨10.1007/978-3-319-54427-4_36⟩. ⟨hal-01375089⟩
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