抽象的

COMPARATIVE ANALYSIS OF DIFFERENT FILTERS FOR DENOISING IN MEDICAL IMAGE SEGMENTATION

Manoj kumar V Remya elizabeth philip Arun ASumithra M G

Present medical science very much depends on the medical images and medical imaging technology like MRI, CT, US, etc. Doctors are using these medical images for the anatomical structure study and for the treatment planning. But generally medical images are complex and noisy. This paper discuss about the different filters , which eliminate noise and unwanted region without any loss of important information in the image. Rank filter, Gaussian filter, and Sigma filters are general filters using for the de-noising in medical images and these filters are considered for performance comparison in this paper.