Technology Research On Algorithms Of Medical Image Filter And Enhancement

Medical image filtering and enhancement technology play an important role inimage processing. With the continuous development of the society, in order to be ableto provide more accurate diagnosis to a doctor, medical equipment has been widelyused, however, due to the device itself and the external environment, medical image isnot very satisfactory, so this article focuses on the medical image filtering andenhancement technology for medical images in order to improve the quality of medicalimages, improve accuracy, there is often low resolution, poor contrast, and image blur.noise, artifacts, and other characteristics, in-depth study from the medical imageenhancement and medical image filtering.First, the traditional histogram equalization will make some of the details of theimage information is lost and over-enhancement phenomenon shortcomings, histogramequalization method based on median decomposition on the basis of these traditionalmethods, not only to maintain histogram FIG original advantages, but also canenhance the image contrast the prior shortcomings phenomenon also been improvedand the improvement.Second, medical images contain the hybrid noise and metal artifacts problem, thispaper proposed a new medical image filtering algorithm, adaptive threshold switchingmedian filter algorithm and local go to the extreme values mean filter algorithmcombined method image noise and elimination of metal artifacts. This method of noiseremoval can better maintain the brightness of the image information than thetraditional method, and remove the noise at the same time, the metal artifacts portionalso supported by a good removal and inhibition.In this paper, the medical image filtering and enhancement technology’s has avery important significance. And it has a good prospect and practical value in thedevelopment of medical information systems and eliminated medical image noise, andthe removal of the metal artifacts.