A Discrete Approach for Decomposing Noisy Digital Contours into Arcs and Segments [chapter]

Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson
2017 Lecture Notes in Computer Science  
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.
doi:10.1007/978-3-319-54427-4_36 fatcat:27emdlwumzav5gi6gjryd5sdya