HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Optimal blurred segments decomposition in linear time

Abstract : Blurred (previously named fuzzy) segments were introduced by Debled-Rennesson et al as an extension of the arithmetical approach of Reveillès on discrete lines, to take into account noise in digital images. An incremental linear-time algorithm was presented to decompose a discrete curve into blurred segments with order bounded by a parameter $d$. However, that algorithm fails to segment discrete curves into a minimal number of blurred segments. We show in this paper, that this characteristic is intrinsic to the whole class of blurred segments. We thus introduce a subclass of blurred segments, based on a geometric measure of thickness. We provide a new convex hull based incremental linear time algorithm for segmenting discrete curves into a minimal number of thin blurred segments.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00000112
Contributor : Isabelle Debled-Rennesson Connect in order to contact the contributor
Submitted on : Monday, June 13, 2005 - 4:09:13 PM
Last modification on : Friday, February 4, 2022 - 3:30:24 AM

Identifiers

  • HAL Id : inria-00000112, version 1

Citation

Isabelle Debled-Rennesson, Fabien Feschet, Jocelyne Rouyer-Degli. Optimal blurred segments decomposition in linear time. 12th International Conference on Discrete Geometry for Computer Imagery - DGCI 2005, Eric Andres, Guillaume Damiand, Pascal Lienhardt, Apr 2005, Poitiers, France, pp.371-382. ⟨inria-00000112⟩

Share

Metrics

Record views

118