NDLI: A recursive PVM implementation of an image segmentation algorithm with performance results comparing the HIVE and the Cray T3E

Content Provider	IEEE Xplore Digital Library
Author	Tilton, J.C.
Copyright Year	1999
Description	Author affiliation: NASA Goddard Space Flight Center, Greenbelt, MD, USA (Tilton, J.C.)
Abstract	A recursive PVM (Parallel Virtual Machine) implementation of a high quality but computationally intensive image segmentation approach is described and the performance of the algorithm on the HIVE and on the Cray T3E is contrasted. The image segmentation algorithm, which is designed for the analysis of multispectral or hyperspectral remotely sensed imagery data, is a hybrid of region growing and spectral clustering that produces a hierarchical set of image segmentations based on detected natural convergence points. The HIVE is a Beowulf-class parallel computer consisting of 66 Pentium Pro PCs (64 slaves and 2 controllers) with 2 processors per PC (for 128 total slave processors) which was developed and assembled by the Applied Information Sciences Branch at NASA's Goddard Space Flight Center. The Cray T3E is a supercomputer with 512 available processors, which is installed at the NASA Center for Computational Science at NASA's Goddard Space Flight Center. Timing results on Landsat Multispectral Scanner data show that the algorithm runs approximately 1.5 times faster on the HIVE, even though the HIVE is some 86 times less costly than the Cray T3E.
Starting Page	146
Ending Page	153
File Size	44964
Page Count	8
File Format	PDF
ISBN	0769500870
DOI	10.1109/FMPC.1999.750594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-02-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Concurrent computing Clustering algorithms Algorithm design and analysis Virtual machining High performance computing Image analysis Hyperspectral sensors Hyperspectral imaging Convergence
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 Libarray 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

GPU implementation for hyperspectral image analysis using Recursive Hierarchical Segmentation

Design tradeoffs in a hardware implementation of the k-means clustering algorithm

Parallel Implementation of Hyperspectral Image Processing Algorithms

Design and Implementation of a Parallel Heterogeneous Algorithm for Hyperspectral Image Analysis Using HeteroMPI

Parallel implementation for image rotation using parallel virtual machine (PVM)

Interest segmentation of hyperspectral imagery

An unsupervised algorithm for hyperspectral image segmentation based on the Gaussian mixture model

Accelerating 3D Medical Image Segmentation with High Performance Computing

Performance analysis of the cray-t3e versus cray-t3d using direct shared memory and pvm.

A recursive PVM implementation of an image segmentation algorithm with performance results comparing the HIVE and the Cray T3E

Similar Documents

GPU implementation for hyperspectral image analysis using Recursive Hierarchical Segmentation

Design tradeoffs in a hardware implementation of the k-means clustering algorithm

Parallel Implementation of Hyperspectral Image Processing Algorithms

Design and Implementation of a Parallel Heterogeneous Algorithm for Hyperspectral Image Analysis Using HeteroMPI

Parallel implementation for image rotation using parallel virtual machine (PVM)

Interest segmentation of hyperspectral imagery

An unsupervised algorithm for hyperspectral image segmentation based on the Gaussian mixture model

Accelerating 3D Medical Image Segmentation with High Performance Computing

Performance analysis of the cray-t3e versus cray-t3d using direct shared memory and pvm.

A recursive PVM implementation of an image segmentation algorithm with performance results comparing the HIVE and the Cray T3E