Author(s):
G. Mahesh Kumar, K. Arun Kumar, P. Rajashekar Reddy, J. Tarun Kumar
Email(s):
mahival2002@gmail.com , arun.katkoori@gmail.com , raju.sheker@gmail.com , tarunjuluru@gmail.com
DOI:
10.5958/0974-360X.2020.01032.X 
Address:
G. Mahesh Kumar1, K. Arun Kumar2, P. Rajashekar Reddy3, Dr. J. Tarun Kumar4
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), Telangana 501510, India.
3Assistant Professor, Department of Electronics and Communication Engineering, CVR College of Engineering, Vastunagar, Mangalpalli (V), Ibrahimpatnam (M), Rangareddy (D), Telangana 501510, 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
Published In:
Volume - 13,
Issue - 12,
Year - 2020
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 pre-processing, 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.
Cite this article:
G. Mahesh Kumar, K. Arun Kumar, P. Rajashekar Reddy, J. Tarun Kumar. A Novel Approach of Tumor Detection in Brain using MRI Scan Images. Research J. Pharm. and Tech. 2020; 13(12):5914-5918. doi: 10.5958/0974-360X.2020.01032.X
Cite(Electronic):
G. Mahesh Kumar, K. Arun Kumar, P. Rajashekar Reddy, J. Tarun Kumar. A Novel Approach of Tumor Detection in Brain using MRI Scan Images. Research J. Pharm. and Tech. 2020; 13(12):5914-5918. doi: 10.5958/0974-360X.2020.01032.X Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2020-13-12-47
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