Publication
Title
Multiscale asymmetry signatures for texture analysis
Author
Abstract
This paper investigates model-based texture feature extraction from image multiscale representations. This approach offers a better texture characterization compared to using the classical energy Output of a multiscale filterbank. The existing models assume symmetric density functions and we observe that this assumption is violated for some texture classes. This property is exploited to obtain improved texture characterization which can be used for texture classification. segmentation and retrieval.
Language
English
Source (book)
International Conference on Image Processing (ICIP 2004), October 24-27, 2004, Singapore
Publication
New Yrok, N.Y. : IEEE, 2004
ISBN
0-7803-8554-3
Volume/pages
p. 1517-1520
ISI
000228043502024
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 24.02.2012
Last edited 12.06.2017
To cite this reference