IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

A K-Means Clustering Algorithm based Morphological Filtering of MRI Images for Detecting Brain Tumour


Print Email Cite
International Journal for Innovative Research in Science & Technology
Volume 3 Issue - 2
Year of Publication : 2016
Authors : Reshma ; Sachin Veerashetty

BibTeX:

@article{IJIRSTV3I2018,
     title={A K-Means Clustering Algorithm based Morphological Filtering of MRI Images for Detecting Brain Tumour},
     author={Reshma and Sachin Veerashetty},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={2},
     pages={28--31},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I2018.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Many image processing mechanism have been carried out in the field of medical sciences. These image processing skills are used to spot the inner segments of human body for the diagnosis of the medicine. Now a day, brain tumor is a serious concern in the medical premises and the task reflects the use of revealing of the brain lump. Here, there is a presentation of the segmentation of brain MRI Image using K-means. Clustering algorithm followed by morphological filtering which keeps away from the miss clustered regions. The enormous variation of procedures intended for subdivision of MRI. descriptions are established to differentiate the intelligence growth.

Keywords:

MRI Images, k-means clustering, morphological isolation
Download Article