NDLI: Geometric active contour detection using gradient vector flow and shape-based image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Murthy, K.N.N. Kumaraswamy, Y.S.
Copyright Year	2010
Description	Author affiliation: Department of MCA (VTU), Dayanadasagar College of Engineering, Bangalore, India (Kumaraswamy, Y.S.) \|\| Research Scholar, Anna University, Dept. of Information Science and Engineering, City Engineering College, Bangalore, India (Murthy, K.N.N.)
Abstract	In computer vision and pattern recognition, the role of image processing for image segmentation or object boundary recognition plays a key role. In traditional snake algorithm the boundary of image is considered as parametric curve. The process of finding an object boundary has become an energy minimization process. In the project work a combined process of GVF Snake algorithm which has larger capture range and stronger convergence ability to boundary concavities than traditional snake and SUSAN approach has been implemented. The Corner points at the edge are checked first using Susan approach and then those points are marked as energy minimization points, then GVF Snake model has been used to capture object boundary after set initial snake curve. The results obtained indicate that the combined approach of SUSAN and GVF Snake algorithms based segmentation process and further building and specialized object recognition system , which is being training by segmented images obtained by this approach can improve GVF snake model's precision to capture the boundary with sharp-angled corner as well as Object recognition system.
File Size	979328
File Format	PDF
ISBN	9781424465392
ISSN	21547491
e-ISBN	9781424465422
DOI	10.1109/ICACTE.2010.5579510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active Contour Models Image segmentation Conferences Snake GVF SUSA Minimization 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
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