NDLI: Salient closed boundary extraction with ratio contour

Content Provider	IEEE Xplore Digital Library
Author	Wang, S. Kubota, T. Siskind, J.M. Wang, J.
Copyright Year	1979
Abstract	We present ratio contour, a novel graph-based method for extracting salient closed boundaries from noisy images. This method operates on a set of boundary fragments that are produced by edge detection. Boundary extraction identifies a subset of these fragments and connects them sequentially to form a closed boundary with the largest saliency. We encode the Gestalt laws of proximity and continuity in a novel boundary-saliency measure based on the relative gap length and average curvature when connecting fragments to form a closed boundary. This new measure attempts to remove a possible bias toward short boundaries. We present a polynomial-time algorithm for finding the most-salient closed boundary. We also present supplementary preprocessing steps that facilitate the application of ratio contour to real images. We compare ratio contour to two closely related methods for extracting closed boundaries: Elder and Zucker's method based on the shortest-path algorithm and Williams and Thornber's method based on spectral analysis and a strongly-connected-components algorithm. This comparison involves both theoretic analysis and experimental evaluation on both synthesized data and real images.
Sponsorship	IEEE Computer Society
Page Count	16
File Size	1946862
Starting Page	546
Ending Page	561
File Format	PDF
ISSN	01628828
Volume Number	27
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Length measurement Joining processes Polynomials Image analysis Cost function Signal to noise ratio Data mining Spectral analysis Image segmentation graph models. Index Terms- Image segmentation perceptual organization boundary detection edge detection
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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

Edge Grouping Combining Boundary and Region Information

Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information

Global Detection of Salient Convex Boundaries

Salient object detection via reliable boundary seeds and saliency refinement

Unsupervised contour closure algorithm for range image edge-based segmentation

Edge and line feature extraction based on covariance models

The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation

Fast SAR Image Segmentation via Merging Cost With Relative Common Boundary Length Penalty

Forward/Backward Contour Tracing with Feedback

Salient closed boundary extraction with ratio contour

Similar Documents

Edge Grouping Combining Boundary and Region Information

Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information

Global Detection of Salient Convex Boundaries

Salient object detection via reliable boundary seeds and saliency refinement

Unsupervised contour closure algorithm for range image edge-based segmentation

Edge and line feature extraction based on covariance models

The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation

Fast SAR Image Segmentation via Merging Cost With Relative Common Boundary Length Penalty

Forward/Backward Contour Tracing with Feedback

Salient closed boundary extraction with ratio contour