ABSTRACT

In this paper, we implemented an automated system for brain tumor detection, the main functionality of this system is divided in some parts are Segmentation, Object Labeling, HOG (Histogram Oriented Gradient), feature extraction and linear SVM implementation. For Segmentation we are using K-means algorithm, for Object Labeling HOG is use, HOG also use to extract texture feature, shape context feature and color feature. Then we are implementing the SVM based on this feature we can train the SVM and further test is on other infected MRI images.

Title	:	Implementation of Brain Tumor Detection using Segmentation Algorithm & SVM
Authors	:	Swapnil R. Telrandhe,Amit Pimpalkar, Ankita Kendhe
Keywords	:	K-means algorithm, Object Labeling Algorithm, Image segmentation.
Issue Date	:	July 2016.
Abstract	:
Page(s)	:	278-284
ISSN	:	0975–3397
Source	:	Vol. 8, Issue.07