tumor identification in brain mr images using digital image processing based algorithms
N.Hemalatha,V.Revathi,K.Navitha,M.Yuvarani
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:2 Issue:2 Year: 08 March,2014 Pages:66-74
Abstract
This paper presents an automatic identification of brain tumor location and its size in Brain MR Images. The input of this method is patient study which consists of a set of MR images or slices. The output of the method is corresponding with the set of the slices or an image with the tumor contains the axis parallel boxing around the tumor with the exact location name and the size of the tumor. This proposed method is highly based on the detection that having most dissimilar region between both the left and the right side of the brain in an axial location view in MR images. The detection process is done by using the novel based algorithm called as Bhattacharya coefficient which can be used to provide gray level intensity histograms. Boxing and mean shift clustering algorithm is used to provide a box for the entire tumor. This method shows good results in complex situation.
Kewords
Brain Tumor, MR images, Boxing and Mean shift clustering, Bhattacharya Efficient.
Reference
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