NDLI: Unsupervised image segmentation utilizing penalized inverse expectation maximization algorithm

Content Provider	IEEE Xplore Digital Library
Author	Khan, J.F. Adhami, R.R. Bhuiyan, S.M.A.
Copyright Year	2008
Description	Author affiliation: Dept. of ECE, Univ. of Alabama in Huntsville, Huntsville, AL (Khan, J.F.; Adhami, R.R.; Bhuiyan, S.M.A.)
Abstract	This work is on accurate segmentation of images using local image characteristics. An appropriate Gabor filter with customized size, orientation, frequency and phase for each pixel is selected to measure the image features. A new image property called phase divergence is introduced to select the filter size. Brightness, color, texture and position features are extracted for each pixel and the joint distribution of these pixel features is modeled by a mixture of Gaussians. A new version of the expectation maximization (EM) algorithm called Penalized Inverse EM (PIEM) is formulated for estimating the parameters of the mixture of Gaussians model. Furthermore, we determine the number of models that best suits the image based on Schwarz criterion. The performance on the Berkeley segmentation benchmark proves the efficacy and accuracy of the proposed method.
Starting Page	937
Ending Page	940
File Size	423557
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517765
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Gabor filters Pixel Frequency measurement Phase measurement Size measurement Brightness Feature extraction Gaussian distribution Parameter estimation Schwarz criterion Clustering EM segmentation
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