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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

Autor: Muñoz Pujol, Xavier
Cufí i Solé, Xavier
Freixenet i Bosch, Jordi
Martí Bonmatí, Joan
Resum: 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
Accés al document: http://hdl.handle.net/2072/58662
Llenguatge: eng
Editor: IEEE
Drets: Tots els drets reservats
Matèria: Imatges -- Segmentació
Imatge, Tècniques d’
Visió per ordinador
Computer vision
Imaging segmentation
Imaging systems
Títol: A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
Tipus: info:eu-repo/semantics/article
Repositori: Recercat

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