Scale-dependent hierarchical unsupervised segmentation of textured images

Authors
Bandera, A Urdiales, C Arrebola, F Sandoval, F
Citation
A. Bandera et al., Scale-dependent hierarchical unsupervised segmentation of textured images, PATT REC L, 22(2), 2001, pp. 171-181
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION LETTERS
ISSN journal
01678655 → ACNP
Volume
22
Issue
2
Year of publication
2001
Pages
171 - 181
Database
ISI
SICI code
0167-8655(200102)22:2<171:SHUSOT>2.0.ZU;2-7
Abstract
This paper presents a new three-staged texture-based segmentation method th at, using multiresolution techniques, provides high computational speed. Th e main novelty of the approach is that spatial proximity has a progressivel y decreasing importance on lower resolution levels when hierarchically segm enting the data structure. The method achieves low error rates and it does not require any knowledge about the number of textures in the image. (C) 20 01 Elsevier Science B.V. All rights reserved.