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Image Processing Results of Chlamydia Pneumonia X-Ray
  • Abhishek Bansal
Abhishek Bansal
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Abstract

This paper presents the collection of 154 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; de- hazing algorithm, pixel intensities, vector quantization, k-means clustering, fuzzy logic and morphological segmentation. Images used in this paper are two X-Rays having the lateral and Posterior to Anterior (PA) views of the patient’s lungs who was diagnosed from Chlamydia Pneumonia which is a lung infection caused by bacteria of family Chlamydiaceae and order Chlamydiales, which causes respiratory tract infections and illness by damaging the lining of the respiratory tract including the throat, windpipe, and lungs. Chlamydia pneumoniae is a small gram-negative bacterium (0.2 - 1 μm). 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.