Brain Tumor Detection and Identification Using Histogram Method
MB Bramarambika1, Seshashayee2
1B Bramarambika, Research Scholar in GITAM (Deemed to be University), Vishakhapatnam.
2Seshashayee, Assistant Professor in GITAM (Deemed to be University), Vishakhapatnam.
Manuscript received on 07 August 2019 | Revised Manuscript received on 11 August 2019 | Manuscript published on 30 August 2019 | PP: 3517-3521 | Volume-8 Issue-10, August 2019 | Retrieval Number: J90640881019 /19©BEIESP | DOI: 10.35940/ijitee.J9064.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Brain tumor is a collection of unwanted cells that grow abnormally in different parts of human brain. Detection of this is done effectively by MR image scanning of human brain. Certain process can be carried out to partition the input MR images into the regions. To convert these regions into coherent segments is done by Histogram Method which can utilize peaks and valleys to analyze the regions into segment of the MR images. This process can be done by program division method to detect the tumor in the earlier stages. This work aims at it.
Index terms: Brain Tumor, Histogram and Segmentation.
Scope of the Article: Image Security