NDLI: Object segmentation using feature based conditional morphology

Content Provider	IEEE Xplore Digital Library
Author	Hamid, M.R. Baloch, A. Bilal, A. Zaffar, N.
Copyright Year	2003
Description	Author affiliation: Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA (Hamid, M.R.)
Abstract	This paper presents a new technique to segment objects of interest from cluttered background with varying edge densities and illumination conditions from gray scale imagery. An optimal background model is generated and an index of disparity of the objects from this model is computed. This index estimates the disparity, both in terms of edge densities and edge orientation. We introduce feature based conditional morphology to process the representations that are most likely to belong to the object of interest and obtain a distilled edge map. These edges are linked using N/sup th/ order interpolation to get the final outline of the object. We compare our approach with 9 contemporary background subtraction algorithms (Toyama et al. (1999)). Our approach shows significant performance advantages and uses only the gray scale images, while the other approaches also need the color images for their algorithms. A comparison with the conventional morphological techniques is also made to highlight the advantages of our algorithms.
Starting Page	548
Ending Page	553
File Size	791362
Page Count	6
File Format	PDF
ISBN	0769519482
DOI	10.1109/ICIAP.2003.1234107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object segmentation Morphology Lighting Data mining Filters Testing Histograms Educational institutions FCC Image segmentation
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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