• Jaspreet Kaur
• Er.Anudeep Goraya

Brain tumor is the most usually happening melanoma in the midst of human beings, so learning of brain tumor is significant. Brain tumor at premature phase is very tricky chore for doctors to classify. MRI images are more close to clatter and additional ecological intrusion. So it becomes difficult for doctors to recognize tumor and their causes. In this paper, a place of image segmentation algorithms which gives a suitable consequence on brain tumor images is proposed. The segmentation, detection, and extraction of infected tumor area from magnetic resonance (MR) images are a prime apprehension but a deadly and time taking task achieved by radiologists or medical authority, and their exactness depends on their familiarity. The original image is converted into grayscale image in order to classify the darkness and the bright side of the image so that it becomes easy to identify the affected area and is implemented using MATLAB.

Brain, Grayscale image, MRI, Segmentation, Tumor

"IDENTIFICATION OF BRAIN TUMOR USING IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.317-323, May-2019, Available :http://www.jetir.org/papers/JETIR1905P48.pdf

"IDENTIFICATION OF BRAIN TUMOR USING IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp317-323, May-2019, Available at : http://www.jetir.org/papers/JETIR1905P48.pdf