International Journal of Advanced Computing and Intelligent SystemA journal of MSIS PressInternational Journal of Advanced Computing and Intelligent System
Original Research · Open access

Image Processing Results Of One Week Covid-19 Evolution Pneumonia X-Rays

Abstract

This paper presents the collection of 385 new images and results, obtained after performing many known image processing algorithms and digital image transformations techniques like adding noises namely Gaussian with variances, Poisson and speckle with variances; double precision, methods of Sobel, Prewitt and Robert; dehazing algorithm, pixel intensities, vector quantization, k-means clustering, fuzzy logic and morphological segmentation. Images used in this paper are five X-Rays at day 0, day3, day 4 and day 6, which are Posterior to Anterior (PA) views of the patient’s lungs who was diagnosed with covid-19 Pneumonia. All results are included in the paper as well as separate images have also been uploaded on the open-access page. The data has been analyzed with histogram and mathematical polynomial fitting equations and matrices have been also submitted which can used in the digital testing of machines or computer diagnostic solutions. As these results reveal certain patterns, these further processed X-Ray results can help researchers or doctors in understanding ailment or diagnosing and to pharmacologists in making medicine or machine/therapy.

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Bansal, A. (2023). Image Processing Results Of One Week Covid-19 Evolution Pneumonia X-Rays. International Journal of Advanced Computing and Intelligent System, 1(1), online first. https://doi.org/10.66917/ijacis.a000003

BibTeX
@article{msisijacis-a000003,
  title = {Image Processing Results Of One Week Covid-19 Evolution Pneumonia X-Rays},
  author = {Abhishek Bansal},
  journal = {International Journal of Advanced Computing and Intelligent System},
  year = {2023},
  volume = {1},
  number = {1},
  doi = {10.66917/ijacis.a000003}
}
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