• Deepshikha Janak Nandgaye
• Prof.Ahmed Sajjad Khan

Abstract: Magnetic resonance imaging is one of the best technologies currently being used for detecting brain tumor at both early and advanced stages. Brain tumor is diagnosed at advanced stages with the help of MRI image. Segmentation is an important process to extract suspicious region from complex medical images. Automatic detection of brain tumor through MRI can provide the valuable outlook and accuracy of earlier brain tumor detection. In this paper an intelligent system is designed to diagnose brain tumor through MRI using image processing, LBP algorithm. It has been found that local binary pattern (LBP) is a powerful feature for texture classification. It has been further determined that. When LBP is combined with Histogram along with of descriptor it improves the detection performance considerably on some datasets.

MRI,Image segmentation,Local binary pattern and Morphological filtering

"Brain Tumor MRI Image Segmentation and Detection in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.539-542, May-2019, Available :http://www.jetir.org/papers/JETIR1905375.pdf

"Brain Tumor MRI Image Segmentation and Detection in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp539-542, May-2019, Available at : http://www.jetir.org/papers/JETIR1905375.pdf