X-RAY IMAGE DENOISING BY ADAPTIVE WIENER FILTER AND MEDIAN FILTER THROUGH MATLAB-R2013a INTRODUCTION:
Medical Image Pre-processing is a simplest and important method of enhancing the Image Information. It is required because Medical Images experience noise issues that limits the Image Visuality. Image Noise could be due to environment or some other intrinsic factors that distort the pixels and makes the image disrupted. These situations can’t be avoid in the Images taken from X-Ray machine or other medical FUTURE PERSPECTIVE devices as it can leads to wrong interpretation and false diagnosis. Therefore, Image denoising becomes a necessary Image Processing on Clinical Images could tasks that can restore the X-Ray Image somewhat to make it more classified. This Image Restoration and classification result to be a great proportion of can be done by using Adaptive Wiener Filter and Median filter that suppress the noise from the X- Ray Images. These conclusion as it diminish the false filter denoising could be easily perform on MATLAB Software(R2013a) that process the image by providing a diagnosis of the Disease. Additionally, it comprehensive set of Standard Algorithm. can correct the Computer illustrations and
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its vision by building the quantitative and Qualitative Analysis of the Medical Image.
REFERENCES Manpreet Kaur, Sunny Behal, ‘Study of Image Denoising and Its Techniques’, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Volume 3, Issue 1, January 2013 Shahla Hazim Ahmed Kharofa, “Remove Noise from Medical Images”, International Journal of Enhanced Research in Science, Technology & Engineering, ISSN: 23197463, Vol. 7 Issue 5, May -2018
FIGURE:- X-Ray image de-noising results performed stepwise: A. Original Image of Chest X-Ray taken on March 18, 2020. B. Introduced Gaussian and Salt & Pepper Noise in the X- Ray Image. C. Comparative analysis of Gaussian and Salt & Pepper Noised Image, Denoised by Adaptive Wiener(wnr2) and Median filter through MATLAB-R2013a Software.
POSTER PRESENTERS: Sakshi Goel(sakshi97.goel@gmail.com) and Ayushi Goel (ayushi.goel168@gmail.com)