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Research Paper | Biomedical Sciences | Saudi Arabia | Volume 9 Issue 1, January 2020
Improvement of Dental X-rays Images using Image Processing Techniques
Tariq Alqahtani
Abstract: This thesis proposed a procedure for effective statistical noise analysis in dental rays. A Gaussian scale blend has been used to satisfy non-linearity dispersion to improve the quality of images after denoisation. Current methods are based on a filter based on insignificant details. The traditional theory of gaseous and poison diffusion seems only to overestimate noise variance in low-intensity areas (small photon counts).20 experiments from 20 panorama pictures test the retrospective method, and medical experts back the findings. Secondly, the general image has been maintained; secondly, the diagnostic data on the photo are preserved, and thirdly, the scene diagnostics section defines small details of low contrast. As illustrated above, state-of - the-art approaches have poor results. This new approach is followed by an attempt to see the problem from BSS ' perspective in order to see the panorama as a simple combination of (unwanted) background, observational and noise information.
Keywords: Dental Images, image, processing, MatLab
Edition: Volume 9 Issue 1, January 2020,
Pages: 65 - 68
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Masters Thesis, Biomedical Sciences, Indonesia, Volume 11 Issue 2, February 2022
Pages: 627 - 636Balinese Green Arabica Coffee Bean (Coffea arabica) Extract Did Not Prevent the Increase of Malondialdehyde Level and Progressivity of Non-Alcoholic Fatty Liver Disease in Male Wistar Rats (Rattus norvegicus) Induced High Calorie Diet
Rynda [2] | I Gusti Made Aman [5] | Ni Putu Sriwidyani [8]
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Masters Thesis, Biomedical Sciences, India, Volume 11 Issue 6, June 2022
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A. R. Shwethaa | Divyashree .K