NDLI: An intelligent and attractable active contour model for boundary extraction

Content Provider	IEEE Xplore Digital Library
Author	Ji, L. Hong Yan
Copyright Year	1999
Description	Author affiliation: Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia (Ji, L.)
Abstract	An intelligent and attractable active contour model for boundary extraction is presented in this paper. The proposed model is capable of driving any initial guess in the area of the evolving estimate towards the desired boundary, working against a constant image background, overcoming spurious edge-points and fitting into the object without any overrun. It is also capable of extracting both concave and convex boundaries while still being capable of bearing subjective boundaries with help of a synthetic convergent criterion and an adaptable interpolation scheme. Using additional two control parameters, it is possible to control the convergent properties of the new model, which provides a high degree of flexibility and adaptability. This robust model has been applied to real images with encouraging results.
Starting Page	3309
Ending Page	3312
File Size	482737
Page Count	4
File Format	PDF
ISBN	0780350413
ISSN	15206149
DOI	10.1109/ICASSP.1999.757549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active contours Solid modeling Data mining Image converters Image edge detection Robustness Image segmentation Shape Mechanical factors Potential energy
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

An attractable snake model for contour extraction in MRI images

Face contour detection using geometric active contours

Contour Extraction of Drosophila Embryos

Contour extraction by multi-level active contour model

Shaking snakes using color edge for contour extraction

Multiple face contour detection based on geometric active contours

A level set model without initial contour

A Geometrical Active Contour Based on Statistical Shape Prior Model

An active contour model based on multiple boundary measures

An intelligent and attractable active contour model for boundary extraction

Similar Documents

An attractable snake model for contour extraction in MRI images

Face contour detection using geometric active contours

Contour Extraction of Drosophila Embryos

Contour extraction by multi-level active contour model

Shaking snakes using color edge for contour extraction

Multiple face contour detection based on geometric active contours

A level set model without initial contour

A Geometrical Active Contour Based on Statistical Shape Prior Model

An active contour model based on multiple boundary measures

An intelligent and attractable active contour model for boundary extraction