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%20%20%20%20Brain%20Tumor%20Detection%20Using%20Segmentation%20Based%20Object%20Labelling%20Algorithm
Research article
  

Brain Tumor Detection Using Segmentation Based Object Labelling Algorithm


E.Mallikarjuna

1, Assistant Professor in Department of ECE, TEC Engineering College Tadipatri, AP. India.


Corresponding author :

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Received: September 22, 2015,   Accepted: November 4, 2015,   Published: November 4, 2015.


Abstract:

In this paper we propose an efficient brain tumor detection method, which can detect tumor and locate it in the brain MRI images. This method exactly the tumor by using K-means algorithm followed by object labeling algorithm. Also some preprocessing steps (median filtering and morphological operations) are used for tumor detection purpose. It is observed that the experimental results of the proposed method gives better result in comparison to other technique. Brain tumor is inherently serious and life-threatening. Tumors are of different types and they have different Characteristics and different treatment. Tumor is an uncontrolled growth of tissues in any part of the body. This paper introduces inefficient detection of brain tumor from cerebral MRI images. Most Research in developed countries show that the number of people who have brain tumors were died due to the fact of inaccurate detection. CT scan or MRI that is directed into intracranial cavity produces a complete image to detect the tumor some preprocessing steps are used i.e. median filtering and morphological operation. After this by applying K means method then binarized image is labeled using Object Labeling algorithm. The purpose of this algorithm is to label different objects within the image. The tumor is extracted from the MR image and its exact position and the shape also determined. The stage of the tumor is displayed based on the amount of area calculated from the cluster.


Keywords: MRI images, CT scan, K means method and binarized image.


Citation:

E.Mallikarjuna. (2015). Brain Tumor Detection Using Segmentation Based Object Labelling Algorithm. J. of Computation in Biosciences and Engineering. V3I2. DOI: 10.15297/JCLS.V3I2.01


Copyright:

© 2015 E.Mallikarjuna. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


      
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      Journal of Computation in Biosciences and Engineering