Detection of Brain Tumor using Image Processing Techniques
Damandeep Kaur1, Surender Singh2
1Damandeep Kaur, Department of CSE, Chandigarh University Gharuan, Mohali (Punjab), India.
2Surender Singh, Department of CSE, Chandigarh University Gharuan, Mohali (Punjab), India.
Manuscript received on 27 August 2019 | Revised Manuscript received on 03 September 2019 | Manuscript Published on 14 September 2019 | PP: 501-504 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E10900785S319/19©BEIESP | DOI: 10.35940/ijeat.E1090.0785S319
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Abstract: Image processing in biomedical field is being increasingly used for the detection and diagnosis of various abnormalities in the body parts. The detection of brain tumours using image processing on MRI images is one such field where better results are obtained as comparative to CT-scan and x-ray. Prior detection of the brain tumour is desirable and possible with the help of machine learning and image processing techniques. These techniques detect even a small abnormality in the human brain following a four-stage process which includes pre-processing, segmentation, feature extraction and optimization. Different parameters such as accuracy, PSNR, MSE are calculated to find out the efficiency of process and to compare it with other methods. This paper reviews about various different approaches which are used to detect the brain tumor using image processing techniques.
Keywords: Types of Tumors, Feature Extraction, Classification, Optimisation, Image Processing.
Scope of the Article: Image Processing and Pattern Recognition