Repositorio de producción científica de la Universidad de Sevilla

Reconstructing persistent graph structures from noisy images

 

Advanced Search
 
Opened Access Reconstructing persistent graph structures from noisy images
Cites
Show item statistics
Icon
Export to
Author: Chernov, Alexey
Kurlin, Vitaliy
Date: 2013
Published in: Image-A : Applicable Mathematics in Image Engineering, 3 (5), 19-22
Document type: Article
Abstract: Let a point cloud be a noisy dotted image of a graph on the plane. We present a new fast algorithm for reconstructing the original graph from the given point cloud. Degrees of vertices in the graph are found by methods of persistent topology. Necessary parameters are automatically optimized by machine learning tools.
Size: 631.2Kb
Format: PDF

URI: http://hdl.handle.net/11441/26521

See editor´s version

This work is under a Creative Commons License: 
Atribución-NoComercial-SinDerivadas 4.0 España

This item appears in the following Collection(s)