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- Title
BRAIN TUMOUR DETECTION USING BUTTERWORTH HIGH PASS FILTER IN FREQUENCY DOMAIN AND MORPHOLOGICAL RECONSTRUCTION.
- Authors
ANILBABU, KARANAM; RAMANA, KOMPELLA VENKATA
- 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.
- Subjects
BRAIN tumor diagnosis; IMAGE reconstruction; DIAGNOSTIC imaging; COMPUTED tomography; IMAGE processing
- Publication
I-Manager's Journal on Image Processing, 2019, Vol 6, Issue 4, p39
- ISSN
2349-4530
- Publication type
Article
- DOI
10.26634/jip.6.4.16681