NDLI: Model selection and texture segmentation using partially ordered Markov models

Content Provider	IEEE Xplore Digital Library
Author	Talukder, A. Davidson, J.
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Talukder, A.)
Abstract	Texture is a phenomenon in image data that continues to receive attention due to its wide-spread applications, ranging from remotely sensed data, to medical imaging, to military applications. We use a new class of spatial stochastic models called partially ordered Markov models (POMMs) for texture analysis and model selection. POMMs are a generalization of Markov mesh models that have the property that their joint probability density function is an exact, closed form expression in terms of conditional probabilities. Markov random fields (MRFs) do not, in general, have this property. This property of the POMMs has lead to exact and fast computations involving the joint probabilities. We show how these fast algorithms allow POMMs to be used for fitting models to textures, and for supervised texture segmentation. Applications to real data show that the model selection technique gives very good results. POMMs are a broad and general class of models, and have the potential to be applied to diverse areas beyond imaging, such as probabilistic expert systems and artificial intelligence.
Starting Page	2527
Ending Page	2530
File Size	460144
Page Count	4
File Format	PDF
ISBN	0780324315
ISSN	15206149
DOI	10.1109/ICASSP.1995.480063
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Biomedical imaging Stochastic processes Image texture analysis Probability density function Markov random fields Expert systems Artificial intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in