vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff1b082b0000001624020001000500 Medical imaging plays a necessary role within the health care enterprise both from the value and patient care perspective. The most common Medical Imaging Systems include Computer Tomography, Magnetic Resonance Imaging, Magnetic Resonance Angiography and Mammography etc. In this paper, various edge detection techniques can be applied on cervical herniated spine images using MRI systems. Its work without using ionizing radiation, have specific uses in the diagnosis of disease. This paper is aimed to compare many edge detection techniques like Sobel, Prewitt, Roberts, Canny, LOG and Zero crossings etc and proposing the best suitable method of edge detection for medical imaging systems. The comparative analysis of medical image edge detection is based on the image quality metrics parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) using MATLAB software. The objective of the paper is to do the edge detection using MRI images and also find the quality measurements to various edge detection operators.
C Malarvizhi, P Balamurugan
Government Arts College, Coimbatore, India
Medical Imaging Systems, Cervical Herniated Spine Images, Edge Detection, Image Quality Metrics
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 9 , Issue: 4 , Pages: 1986-1991 )
Date of Publication :
May 2019
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102
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