期刊名称：Advanced Computing : an International Journal
印刷版ISSN：2229-726X
电子版ISSN：2229-6727
出版年度：2016
卷号：7
期号：1/2
页码：67
DOI：10.5121/acij.2016.7208
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In medical image processing, Magnetic Resonance Imaging (MRI) is one of significant diagnostictechniques. It provides high quality of important information about the analysis of human soft tissue whenmeasured with CT imaging modalities; hence it is suitable for diagnosis at best. However, if it gives qualityof information, image may distorted by noise because of image acquisition device and transmission. Thenoises in MR image reduces the quality of image and also damages the segmentation task which can leadto faulty diagnosis. Noises have to reduce at the same time there is no information loss. This paper proposea hybrid approach to enhance the brain tumor MRI images using combined features of AnisotropicDiffusion Filter (ADF) with Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF).ADF scheme provides a superior performance by removing noise while preserving image details andenhancing edges. MDBUTMF helps in image denoising as well as preserving edges satisfactorily when thenoise level is high. The performance of this filter is evaluated by carrying out a qualitative comparison ofthis method with other filters namely, ADF filter, Modified Decision Algorithm, Median filter, MDBUTMF.
