2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-P2.5
Session:Morphological, Level-Set, and Edge or Color Image/Video Segmentation
Time:Monday, September 17, 14:30 - 17:10
Presentation: Poster
Title: MULTISEGMENT DETECTION
Authors: Rafael Grompone von Gioi; ENS Cachan 
 Jérémie Jakubowicz; ENS Cachan 
 Gregory Randall; Universidad de la República 
Abstract: In this paper we propose a new method for detecting straight line segments in digital images. It improves upon existing methods by giving precise results while controlling the number of false detections and can be applied to any digital image without parameter setting. The method is a nontrivial extension of the approach presented by Desolneux etal. in [1]. The core of the method is an algorithm to cut a binary sequences into what we call a multisegment: a set of collinear and disjoint segments. We shall define a functional that measures the so called meaningfulness of a multisegment. This functional allows us to validate detections against an a contrario non-structured model and to select the best ones. The result is a global interpretation, line by line, of the image in terms of straight segments which gives back its geometry with high accuracy. Comparisons with state of the art methods are presented (more examples are available on-line).



©2016 Conference Management Services, Inc. -||- email: webmaster@icip2007.com -||- Last updated Friday, August 17, 2012