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BRAIN TUMOUR DETECTION USING BUTTERWORTH HIGH PASS FILTER IN FREQUENCY DOMAIN AND MORPHOLOGICAL RECONSTRUCTION.

Authors :
ANILBABU, KARANAM
RAMANA, KOMPELLA VENKATA
Source :
i-Manager's Journal on Image Processing; Oct-Dec2019, Vol. 6 Issue 4, p39-46, 8p
Publication Year :
2019

Abstract

Medical images such as Magnetic Resonance Images (MRI) and Computed Tomography (CT) are the two most emerging imaging technologies. Processing these are useful in identification of disease and also in diagnosing a specific organ. In this paper, we have proposed a procedure for the detection of brain tumour from MRI images of brain using Image Processing techniques such as filtering in Frequency Domain, Thresholding, and Morphological Reconstruction. These techniques are implemented on MRI images using MATLAB Image Processing toolbox. Image is converted into Frequency Domain and Butterworth High pass filters are applied on the image and then opening-closing by reconstruction are applied on the image to detect the tumour present in the image and also the area of the tumour is identified. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23494530
Volume :
6
Issue :
4
Database :
Complementary Index
Journal :
i-Manager's Journal on Image Processing
Publication Type :
Academic Journal
Accession number :
141360643
Full Text :
https://doi.org/10.26634/jip.6.4.16681