Title:	Segmentation of discrete surfaces into plane segments based on a distance map Segmentation of discrete surfaces into plane segments based on a distance map
Authors:	Drieu La Rochelle, Loic Zrour, Rita Largeteau-Skapin, Gaëlle Andres, Eric Tankyevych, Olena Cheze Le Rest, Catherine
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 167-176
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57389
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	polyedrizace;segmentace;diskrétní geometrie;diskrétní rovina;lékařské zobrazování
Keywords in different language:	polyhedrization;segmentation;discrete geometry;discrete plane;medical imaging
Abstract in different language:	In this paper, we present a method for segmenting 3D discrete objects into discrete plane segments. This segmentation is the first step in obtaining a polyhedrization of a discrete object with the reversibility property. This constraint requires that the discretization result for polyhedrization be exactly the same as the initial set of points. One of our objectives is to reduce the number of planes in our segmentation and achieve more efficient surface analysis algorithms. In 3D space, direction and starting point are common issues. Our method attempts to achieve segmentation by considering surfels one after the other and agglomerating them with their neighbours based on a distance ranking. This method enables the recognition of critical points on the boundary of a plane segment. A medical application is illustrated by the presentation of a tumour segmentation.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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