NDLI: Contextual clustering for satellite image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Baraldi, A. Parmiggiani, F.
Copyright Year	1998
Description	Author affiliation: IMGA, CNR, Bologna, Italy (Baraldi, A.)
Abstract	Several interesting strategies are adopted by the well-known Pappas clustering algorithm to segment smooth images. These include exploitation of contextual information to model both class conditional densities and a priori knowledge in a Bayesian framework. Deficiencies of this algorithm are that: i) it removes from the scene any genuine but small region; and ii) its feature-preserving capability largely depends on a user-defined smoothing (regularization) parameter. For these reasons Pappas' algorithm is employed to provide sketches or caricatures of the original image. A modified version of the Pappas algorithm is proposed to segment smooth and noiseless images when enhanced pattern-preserving capability is required. Results show that the authors' contextual algorithm can be employed: iii) in cascade to any noncontextual (pixel-wise) crisp c-means clustering algorithm, to enhance detection of small image features; and iv) as the initialization stage of any crisp and iterative segmentation algorithm requiring priors to be neglected on earlier iterations (such as the Iterative Conditional Modes algorithm).
Starting Page	2041
Ending Page	2043
File Size	346788
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.703734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Image segmentation Clustering algorithms Iterative algorithms Pixel Partitioning algorithms Layout Bayesian methods Image analysis Equations
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
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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

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