Garima Sharma

Performance Analysis of Image Processing Algorithms using Matlab for Biomedical Applications

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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/ijem.2017.03.02

Received: 19 Jan. 2017 / Revised: 24 Feb. 2017 / Accepted: 6 Apr. 2017 / Published: 8 May 2017

Index Terms

Matlab, PSNR, Mean, Median, Edge detection

Abstract

Image processing is used in every sphere of life such as agriculture, remote sensing, wireless, medical etc. Bi-omedical imaging plays a vital role in the detection of diseases. Without image processing, it is not possible to detect diseases such as cancer, tumors etc. Medical equipment such as ultrasound, MRI, CT scan machine is totally dependent on image processing algorithms. Radiologists utilize these image processing algorithms to detect diseases and abnormalities. Matlab is a proprietary tool which is used by image architects in order to design these algorithms. Image processing algorithms designed using Matlab provides efficiency, accuracy, flexibility and timing constraints. The present paper addresses various image processing algorithms designed using Matlab. The performance of these algorithms is also analyzed visually as well as statistically in order to check the quality of images.

Cite This Paper

Garima Sharma,"Performance Analysis of Image Processing Algorithms using Matlab for Biomedical Applications", International Journal of Engineering and Manufacturing(IJEM), Vol.7, No.3, pp.8-19, 2017. DOI: 10.5815/ijem.2017.03.02

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