Using Multifractals to Remove Noise and Segmentation of Medical Images

Abstract

In this research, an algorithm has been constructed to detect foreign objects and identify them in color medical images. Multifractalfor each square using the algorithm.In this paper, a new method has been proposed to eliminate the effect of different types of noiseMedical images, where multifractal conversions have been relied on for their susceptibility toPreserve the edges in the image (at high frequency transactions) as well as its ability to captureSoft curve information, which is one of the most important information to be maintained by methodsRetrieve to get an estimate of the original image.The extent to which the retrieved image is close to the origin of the image was evaluated bySome metrics are used to calculate correlation coefficient and calculate correlation )SNR, MSE, PSNR) TransactionsThe results applied to medical images resulted in the algorithm adopted and adoptedFractal coefficients get high stability when resizing with noise gained toImage through the carrier center.