NDLI: Edge detection to guide range image segmentation by clustering techniques

Content Provider	IEEE Xplore Digital Library
Author	Bellon, O.R.P. Direne, A.I. Silva, L.
Copyright Year	1999
Description	Author affiliation: Dept. de Inf., Univ. Federal do PR, Curtiba, Brazil (Bellon, O.R.P.)
Abstract	Edge detection is an unsolved problem in that, so far, there is no general optimal solution. However, edge detection provides rich information about the scene being observed. This is particularly true in range images, where 3D information is explicit. Many researchers have been taking advantage of edge detection information to improve the segmentation of range images by integrating edge detection with other different segmentation techniques. This paper presents a methodology to perform edge detection in range images in order to provide a reliable and meaningful edge map, which helps to guide and improve range image segmentation by clustering techniques. The obtained edge map leads to three important improvements: (1) the definition of the ideal number of regions to initialize the clustering algorithm; (2) the selection of suitable initial cluster centers; and (3) the successful identification of distinct regions with similar features. Experimental results that substantiate the effectiveness of this work are presented.
Sponsorship	IEEE Signal Process. Soc. IEICE
Starting Page	725
Ending Page	729
File Size	521988
Page Count	5
File Format	PDF
ISBN	0780354672
DOI	10.1109/ICIP.1999.822991
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-24
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Image segmentation Clustering algorithms Layout Machine vision Noise reduction Smoothing methods Image databases Topology Data mining
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

Building meaningful edge maps from range images

Fast range image segmentation by an edge detection strategy

Range image segmentation using Zernike moment-based generalized edge detector

Edge Preserving Filters - Aid To Reliable Image Segmentation

Rapid Non-Template Edge Recognition in Range Image

A concurrent region growing algorithm guided by circumscribed contours

Receptive Field Based Image Modeling Method for Interactive Segmentation

New improvements to range image segmentation by edge detection

Contextual smoothing of image segmentation

Edge detection to guide range image segmentation by clustering techniques

Similar Documents

Building meaningful edge maps from range images

Fast range image segmentation by an edge detection strategy

Range image segmentation using Zernike moment-based generalized edge detector

Edge Preserving Filters - Aid To Reliable Image Segmentation

Rapid Non-Template Edge Recognition in Range Image

A concurrent region growing algorithm guided by circumscribed contours

Receptive Field Based Image Modeling Method for Interactive Segmentation

New improvements to range image segmentation by edge detection

Contextual smoothing of image segmentation

Edge detection to guide range image segmentation by clustering techniques