Improving Segmentation by Denoising Brain MRI ../images through Interpolation Median Filter in ADTVFCM
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-2 | ||
| Year of Publication : 2013 | ||
| Authors :Skimpy Garg, Jagpreet Kaur |
Skimpy Garg, Jagpreet Kaur"Improving Segmentation by Denoising Brain MRI ../images through Interpolation Median Filter in ADTVFCM"International Journal of Computer Trends and Technology (IJCTT),V4(2):187-188 Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - In medical science image segmentation plays a very important role. Medical images need very careful analyses. Detection of minor problem in any body part is sometimes a very difficult task. So to make medical diagnosis to be easy task image segmentation is very helpful as it segment the image into number of parts and the required parts are taken for the study. Brain images are very difficult to analyse because of they are grey scale images i.e there is very small intensity change between pixels of these images. Proposed method is to improve the segmentation results by removing noise using interpolation median filter (IMF) which removes the noise by retaining image details and then performing segmentation using ADTVFCM which provides 0.8653 segmentation accuracy with 39% of noise level but by adding IMF to this segmentation method is expected to give more accuracy.
References-
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Keywords— Image segmentation, Interpolation median filter, ADTVFCM