The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2011.020511
PDF

Implementation and Performance Analysis of Video Edge Detection System on Multiprocessor Platform

Author 1: Mandeep Kaur
Author 2: Kulbir Singh

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 5, 2011.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: This paper presents an agile development, implementation of Edge Detection on SMT8039 based Video And Imaging module. With the development of video processing techniques its algorithm becomes more complicated. High resolution and real time application cannot be implemented with single CPU or DSP. The system offers significant performance increase over current programmable DSP-based implementations. This paper shows that the considerable performance improvement using the FPGA solution results from the availability of high I/O resources and pipelined architecture. FPGA technology provides an alternative way to obtain high performance. Prototyping a design with FPGA offer some advantages such as relatively low cost, reduce time to market, flexibility. Another capability of FPGA is the amount of support of logic to implement complete systems/subsystems and provide reconfigurable logic for purpose of application specific based programming. DSP’s to provide more and more power and design nearly any function in a large enough FPGA, this is not usually the easiest, cheapest approach. This paper designed and implemented an Edge detection method based on coordinated DSP-FPGA techniques. The whole processing task divided between DSP and FPGA. DSP is dedicated for data I/O functions. FPGA’s task is to take input video from DSP to implement logic and after processing it gives back to DSP. The PSNR values of the all the edge detection techniques are compared. When the system is validated, it is observed that Laplacian of Gaussian method appears to be the most sensitive even in low levels of noise, while the Robert, Canny and Prewitt methods appear to be barely perturbed. However, Sobel performs best with median filter in the presence of Gaussian, Salt and Pepper, Speckle noise in video signal.

Keywords: Multiprocessor platform; Edge detection; Performance evaluation; noise.

Mandeep Kaur and Kulbir Singh, “Implementation and Performance Analysis of Video Edge Detection System on Multiprocessor Platform ” International Journal of Advanced Computer Science and Applications(IJACSA), 2(5), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020511

@article{Kaur2011,
title = {Implementation and Performance Analysis of Video Edge Detection System on Multiprocessor Platform },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020511},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020511},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {5},
author = {Mandeep Kaur and Kulbir Singh}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org