NDLI: Improved Snake Model for Fast Image Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Chi-Cheng Ting Jhan-Syuan Yu Jiun-Shuen Tzeng Jung-Hua Wang
Copyright Year	2006
Description	Author affiliation: Nat. Taiwan Ocean Univ., Keelung (Chi-Cheng Ting; Jhan-Syuan Yu; Jiun-Shuen Tzeng; Jung-Hua Wang)
Abstract	This paper presents an improved snake model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon (Cohen, 1991) and GGVF (generalized gradient vector flow) (Xu and prince, 1998). The Balloon model is well known for its capability of fast locating object boundary using an extra pressure force field, but it may easily cause the contour to overwhelm the boundary. The more accurate GGVF model, however, requires lengthy computation time due to the need to specify a relatively large range in order to cover all the control points inside the range. Our goal is to obtain the exact field provided by GGVF while at the same time to expand the capture range with the Balloon pressure force. To this end, in ISM the force fields of Balloon and GGVT are integrated and a dynamic scheme for setting the control points is employed to avoid the time-consuming "re-sampling process" in both GVF (gradient vector flow) and GGVF. The key attribute of ISM is that it can reduce the number of training iterations while maintaining the capability of pushing the capture range toward the gradient map. Empirical results show that the proposed model can deliver the same performance level of segmentation using less computation time than "GGVF" does.
Starting Page	3936
Ending Page	3941
File Size	481075
Page Count	6
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Deformable models Active contours Solid modeling Multi-layer neural network Level set Force control Robustness Shape Nonlinear 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
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