NDLI: Magnification of Label Maps With a Topology-Preserving Level-Set Method

Content Provider	IEEE Xplore Digital Library
Author	Trede, D. Alexandrov, T. Sagiv, C. Maass, P.
Copyright Year	1992
Abstract	Image segmentation aims at partitioning an image into multiple segments. The application of this procedure produces a label map (also referred to as segmentation map) that classifies the pixels of the original image. In contrast to “natural” images, label maps are nominal-scale images, typically represented as integer-valued images. Nominal-scaled label maps can also appear as a representation of the raw data in areas, such as in geostatistics. In some applications, the original resolution of a label map does not suffice and a larger size map has to be generated. In this paper, we present a magnification algorithm for label maps and nominal images. The main property of our method is that it preserves the topology during the magnification process, which means that no isolated pixel vanishes. To the best of our knowledge, apart from nearest-neighbor interpolation, the problem of label map magnification has not previously been addressed in the literature. The main idea of the proposed method is to accomplish a boundary refinement by smoothing the regions' boundaries on a finer grid. The method relies on well known methods, namely, the fundamental operations of morphological image processing–erosion and dilation–and the level-set method. The level-set method is well suited for our purposes since it does not depend on a parametrization and it is numerically stable. The topological flexibility of the level-set method—often found to be an advantage in applications—is a drawback here, since the topology of the original label map should be preserved. However, using the so-called simple point criterion from digital topology, one can adapt the conventional level-set method so that the topology will not be modified throughout the magnification procedure.
Sponsorship	IEEE Signal Processing Society
Page Count	14
File Size	865423
Starting Page	4040
Ending Page	4053
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-01
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 segmentation Interpolation Image edge detection Topology Spatial resolution Smoothing methods topology-preserving Active contours class image dilation erosion label map level-set method magnification mathematical morphology nominal image data segmentation map super-resolution
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design 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

Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification

Self-Repelling Snakes for Topology-Preserving Segmentation Models

Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion

Image Segmentation Based on the Poincaré Map Method

Harmonic Active Contours

Active Contours Driven by the Salient Edge Energy Model

Image segmentation and selective smoothing by using Mumford-Shah model

Minimization of Region-Scalable Fitting Energy for Image Segmentation

Efficient Algorithm for Level Set Method Preserving Distance Function

Magnification of Label Maps With a Topology-Preserving Level-Set Method

Similar Documents

Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification

Self-Repelling Snakes for Topology-Preserving Segmentation Models

Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion

Image Segmentation Based on the Poincaré Map Method

Harmonic Active Contours

Active Contours Driven by the Salient Edge Energy Model

Image segmentation and selective smoothing by using Mumford-Shah model

Minimization of Region-Scalable Fitting Energy for Image Segmentation

Efficient Algorithm for Level Set Method Preserving Distance Function

Magnification of Label Maps With a Topology-Preserving Level-Set Method