Garima Sharma; Krishan Kumar

Acceleration of Images via Software and Hardware using Proprietary Tools & Open Sources for Healthcare Industry

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Author(s)

1. Department of Electronics and Communication Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, Haryana, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2017.07.02

Received: 1 Apr. 2017 / Revised: 10 May 2017 / Accepted: 6 Jun. 2017 / Published: 8 Jul. 2017

Index Terms

BioimageXD, XSG (Xilinx system generator), Paraview, Raspberry pi, Panda boards, FPGA (Field-programmable gate array)

Abstract

Medical imaging appliances play a pivotal role in preventive medicine as the industry combat to low patient expense and acquire early disease estimation using nonintrusive methods. There are proprietary software packages which provide fast development for designing image processing algorithms. Another trend is to use open source softwares. With the advancement of VLSI (Very Large Scale Integration) technology, hardware implementation has also become an alternative. Proprietary hardwares provide flexibility, efficient power and timing constraints whereas open source hardwares provide optimum quality and cost constraints. The Present study is useful for image architects, researchers, biologists to learn various proprietary and open sources softwares as well as hardwares utilized for distinct applications of the healthcare industry.

Cite This Paper

Garima Sharma, Krishan Kumar,"Acceleration of Images via Software and Hardware using Proprietary Tools & Open Sources for Healthcare Industry", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.7, pp.10-22, 2017. DOI: 10.5815/ijigsp.2017.07.02

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