Detection of Brain Tumor and Extraction of Texture Features using Magnetic Resonance Images

Research Area: Volume 1 Issue 5, Sept. 2012 Year: 2012
Type of Publication: Article Keywords: Brain Cancer, MRI, Segmentation, Gray Level Co-occurrence Matrix
  • Prof. Dilip Kumar Gandhi
  • Kaustubh S. Sagale
  • Prof. Vikas Gupta
Journal: IJEIR Volume: 1
Number: 5 Pages: 412-414
Month: Sept.
ISSN: 2277-5668
Brain Cancer Detection system is designed. Aim of this paper is to locate the tumor and determine the texture features from a Brain Cancer affected MRI. A computer based diagnosis is performed in order to detect the tumors from given Magnetic Resonance Image. Basic image processing techniques are used to locate the tumor region. Basic techniques consist of image enhancement, image bianarization, and image morphological operations. Texture features are computed using the Gray Level Co-occurrence Matrix. Texture features consists of five distinct features. Selective features or the combination of selective features will be used in the future to determine the class of the query image. Astrocytoma type of Brain Cancer affected images are used only for simplicity

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