摘要：Image Segmentation is a process of extracting region of interest from the whole image. The success of segmentation depends on the quality of the signal at the input. Noises are prevalent during image acquisition, due to various reasons and sources, thus making it hard to distinguish the healthy and abnormal tissues. Pre-processing is essential to remove these noises from the acquired images before subjecting to the actual processing algorithms. This paper gives the results of our study on different filters used to pre-process the biomedical images. The study shows that for a specific sequence of MR Images, a specific filter yields better results as compared with others. We have chosen three different image sequences i.e. T1-series, T2-series and DWI series of MRI and three different filters for the experiment. The statistical comparisons of the methods used are in agreement with our conclusion. For the study, we have taken real images from hospitals.
