Ramesh Babu  Vallabhaneni, V.  Rajesh, 
    Performance Analysis of Total Variant Techniques for
Efficient Segmentation of Medical Images,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 20,
    2017,
    Pages 5343-5346,
    ISSN 1816-949x,
    jeasci.2017.5343.5346,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.5343.5346)
    Abstract: Denoising medical images is often required for efficient diagnosis of the diseases. Total Variance (TV)
is employed as a model of partial differential equation to identify the isolated noisy regions in the image. In the
due course, the TV has been modified to various versions. In this study, a performance analysis of adaptive
TV, median filtering and modified TV is performed, brain MRI of a patient subjected to tumour is considered
for denoising process. Later the same is segmented to have a clear vision of the tumour portion. The simulation
is carried out in MATLAB using image processing tool box. The evaluation is carried out using performance
metrics like PSNR.
    Keywords: Brain tumour;TV;EADTV;MTV;performance;modified