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Abstract
A new method of image processing of corona virus based on two and multiple beam interference is suggested. The method is based on measuring the fringe shift with respect to the background interference pattern. The interested application of the corona virus image in confocal microscopy is getting depth information since it has the property of optical sectioning. An accurate measurement of the fringe shift is obtained using multiple beam interference since contrast is higher than that for two beam interference. The refractive index of the corona virus image is deduced from the fringe shift. A MATLAB code is used for the processing of all images.
Highlights
Corona viruses are an important family of human and veterinary pathogens that can cause enteric and respiratory infections
The Corona virus image used in the processing is shown as in the Figure 2
The fringe shift occurred within the corona virus w.r.t. the background shift is plotted as in the Figure 3 at frequency f = 1/32
Summary
Corona viruses are an important family of human and veterinary pathogens that can cause enteric and respiratory infections. Corona virus infection can lead to respiratory failure, gastroenteritis, nephritis, and hepatitis. The addition of electronics, computers, and software to interferometry has enabled enormous improvements to optical metrology. Phase-shifting interferometry is used for getting data into a computer so the data can be analyzed [2]-[9]. The refractive index distribution of the corona virus images is computed from the phase shift method. The corona virus fringe shift with respect to the background interference is computed to get useful information about the phase shift of the image leading map the height depth and the refractive index distribution. The computation of refractive index is dependent on the. (2016) Image Processing of Corona Virus Using Interferometry. Hamed fringe spacing either using two or multiple beam interference
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