Unsupervised active regions for multiresolution image segmentation

An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algori...

Full description

Saved in:
Bibliographic Details
Main Authors: Munoz, X., Marti, J., Cufi, X., Freixenet, J.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Fuses
Image edge detection
Image processing
Image resolution
Image segmentation
Imatges
Informatics
Pixel
Process control
Processament
Proposals
Region 4
Segmentació
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2002.1048451