Real Time Low Level Parallel Image Processing For Active Vision Systems

Ashish Tanwer; Rattandeep Singh; Parminder Singh Reel

doi:10.1109/IADCC.2009.4809212

Real Time Low Level Parallel Image Processing For Active Vision Systems

Ashish Tanwer, Rattandeep Singh, Parminder Singh Reel

Population Health and Genomics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.

Original language	English
Title of host publication	2009 IEEE International Advance Computing Conference
Publisher	IEEE
Pages	1347-1352
Number of pages	6
ISBN (Electronic)	9781424429288
ISBN (Print)	9781424429271
DOIs	https://doi.org/10.1109/IADCC.2009.4809212
Publication status	Published - 31 Mar 2009
Event	2009 IEEE International Advance Computing Conference (IACC 2009) - Patiala, India Duration: 6 Mar 2009 → 7 Mar 2009

Conference

Conference	2009 IEEE International Advance Computing Conference (IACC 2009)
Period	6/03/09 → 7/03/09

Keywords

Real time systems
Image processing
Machine vision
MATLAB
Smoothing methods
Image edge detection
Image segmentation
Image coding
Computational modeling
Parallel processing

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10.1109/IADCC.2009.4809212

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@inproceedings{191475776d434585a68dab90a498dbb1,

title = "Real Time Low Level Parallel Image Processing For Active Vision Systems",

abstract = "This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.",

keywords = "Real time systems, Image processing, Machine vision, MATLAB, Smoothing methods, Image edge detection, Image segmentation, Image coding, Computational modeling, Parallel processing",

author = "Ashish Tanwer and Rattandeep Singh and Reel, {Parminder Singh}",

year = "2009",

month = mar,

day = "31",

doi = "10.1109/IADCC.2009.4809212",

language = "English",

isbn = "9781424429271",

pages = "1347--1352",

booktitle = "2009 IEEE International Advance Computing Conference",

publisher = "IEEE",

note = "2009 IEEE International Advance Computing Conference (IACC 2009) ; Conference date: 06-03-2009 Through 07-03-2009",

}

TY - GEN

T1 - Real Time Low Level Parallel Image Processing For Active Vision Systems

AU - Tanwer, Ashish

AU - Singh, Rattandeep

AU - Reel, Parminder Singh

PY - 2009/3/31

Y1 - 2009/3/31

N2 - This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.

AB - This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.

KW - Real time systems

KW - Image processing

KW - Machine vision

KW - MATLAB

KW - Smoothing methods

KW - Image edge detection

KW - Image segmentation

KW - Image coding

KW - Computational modeling

KW - Parallel processing

U2 - 10.1109/IADCC.2009.4809212

DO - 10.1109/IADCC.2009.4809212

M3 - Conference contribution

SN - 9781424429271

SP - 1347

EP - 1352

BT - 2009 IEEE International Advance Computing Conference

PB - IEEE

T2 - 2009 IEEE International Advance Computing Conference (IACC 2009)

Y2 - 6 March 2009 through 7 March 2009

ER -

Real Time Low Level Parallel Image Processing For Active Vision Systems

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Keywords

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