The application of image filtering methods in mammography image

Abstract

Medical images have recently become an important part of patient care. Techniques for image processing and analysis are generally used in medicine. Medical images are complicated, and they differ significantly from one application to the next. Image processing is required to obtain high-quality medical images for accurate diagnosis. In medical applications, the purpose of image processing and analysis is to improve image quality and extract quantitative information from images as efficiently and accurately as possible. In this paper, noise reduction filters were used to improve the mammography image. Filters are used to improve noise and reduce noises by the linear filter, median filter, and wiener filter. Filtering processes have been applied to image formats with medical content, such as mammography images, which are different from standard digital images. In addition, metrics such as peak signal to noise ratio (PSNR), which enables the performance of different filtering techniques to be evaluated, were also calculated and compared.