Item


A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions’s characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed

IEEE

Author: Muñoz Pujol, Xavier
Cufí i Solé, Xavier
Freixenet i Bosch, Jordi
Martí Bonmatí, Joan
Abstract: One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions’s characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed
Document access: http://hdl.handle.net/2072/58662
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Imatges -- Segmentació
Imatge, Tècniques d’
Visió per ordinador
Computer vision
Imaging segmentation
Imaging systems
Title: A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
Type: info:eu-repo/semantics/article
Repository: Recercat

Subjects

Authors