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Brain Tumour Detection Using Butterworth High Pass Filter in Frequency Domain and Morphological Reconstruction

Karanam Anilbabu*, Kompella Venkata Ramana**

*-** Department of Computer Science and System Engineering, Andhra University College of Engineering (A), Visakhapatnam, Andhra Pradesh, India.

Periodicity:October - December'2019
DOI : https://doi.org/10.26634/jip.6.4.16681

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.

Keywords

Frequency Domain, Butterworth High Pass Filtering, Thresholding, Morphological Reconstruction.

How to Cite this Article?

Anilbabu, K., and Ramana, K. V. (2019). Brain Tumor Detection Using Butterworth High Pass Filter in Frequency Domain and Morphological Reconstruction. i-manager's Journal on Image Processing, 6(4), 39-46. https://doi.org/10.26634/jip.6.4.16681

References

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Brain Tumour Detection Using Butterworth High Pass Filter in Frequency Domain and Morphological Reconstruction

Abstract

Keywords

How to Cite this Article?

References

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