NDLI: Wavelet-based level set evolution for classification of textured images

Content Provider	IEEE Xplore Digital Library
Author	Aujol, J.-F. Aubert, G. Blanc-Feraud, L.
Copyright Year	2003
Description	Author affiliation: Labo J.A. Dieudonne, Nice Univ., France (Aujol, J.-F.; Aubert, G.)
Abstract	A supervised classification model based on a variational approach is presented. This model is specifically devoted to textured images. We want to get a partition of an image, composed of texture regions separated by regular interfaces. Each kind of texture defines a class. We use a wavelet packet transform to analyze the textures, characterized by their energy distribution in each sub-band. In order to have an image segmentation according to the classes, we model the regions and their interfaces by level set functions. We define a functional on these level sets whose minimizers define the optimal classification according to textures. A system of coupled PDEs is deduced from the functional. By solving this system, each region evolves according to its wavelet coefficients and interacts with the neighbour region in order to obtain a partition with regular contours. Experiments are shown on synthetic and real images.
Sponsorship	IEEE Signal Process. Soc
File Size	292497
File Format	PDF
ISBN	0780377508
ISSN	15224880
DOI	10.1109/ICIP.2003.1246863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-14
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Level set Partitioning algorithms Image segmentation Pixel Classification algorithms Wavelet analysis Wavelet packets Wavelet transforms Image texture analysis Wavelet coefficients
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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