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RESEARCH JOURNAL OF PHARMACY AND TECHNOLOGY
Year : 2020, Volume : 13, Issue : 12
First page : ( 5914) Last page : ( 5918)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2020.01032.X

A novel approach of tumor detection in brain using MRI scan images

Kumar G. Mahesh1, Kumar K. Arun2, Reddy P. Rajashekar3, Kumar J. Tarun Dr.4

1Assistant Professor, Department of Electronics and Communication Engineering, School of Engineering, S R University, Ananthasagar (V), Dist-Warangal Urban, Telangana-506371, India.

2Assistant Professor, Department of Electronics and Communication Engineering, CVR College of Engineering, Vastunagar, Mangalpalli (V), Ibrahimpatnam (M), Rangareddy (D), Telangana501510, India.

3Assistant Professor, Department of Electronics and Communication Engineering, CVR College of Engineering, Vastunagar, Mangalpalli (V), Ibrahimpatnam (M), Rangareddy (D), Telangana501510, India.

4Professor and Head, Department of Electronics and Communication Engineering, School of Engineering, SR University, Ananthasagar (V), Dist-Warangal Urban, Telangana-506371, India

*Corresponding Author E-mail: mahival2002@gmail.com, arun.katkoori@gmail.com, raju.sheker@gmail.com, tarunjuluru@gmail.com

Online published on 15 February, 2021.

Abstract

Tumor in brain is one of the main severe diseases in human beings. Tumor detection in brain is crucial for its treatment. The correct location of tumor and its spread region is detected. Tumor is detected by using the property that the tumor has the more intensity in its region. In this implementation, MRI scan image is considered as the input to the system. Here the tumor detection is implemented in two major steps i.e. image preprocessing, post-processing. Preprocessing uses image enhancement techniques like noise removal, high-pass filtering, median filtering and de-blurring. In post-processing, the operations like thresholding, segmentation using watershed technique and morphological operations are implemented. The implemented system is applied on different images at various angles and the accurate location of tumor is identified. The implemented system gives the fast and efficient results.

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Keywords

Brain tumor, MRI scan image, Image enhancement, Thresholding, Segmentation and MATLAB.

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