Title
Multiscale asymmetry signatures for texture analysisMultiscale asymmetry signatures for texture analysis
Author
Faculty/Department
Faculty of Sciences. Physics
Research group
Vision lab
Department of Physics
Publication type
conferenceObject
Publication
New Yrok, N.Y. :IEEE, [*]
Subject
Physics
Engineering sciences. Technology
Source (book)
International Conference on Image Processing (ICIP 2004), October 24-27, 2004, Singapore
ISBN
0-7803-8554-3
ISI
000228043502024
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
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.
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