Classification of Tumor Using Gaussian Filter and Canny Edge Detection Technique

C.Rethinam*
Department of Computer Science and Engineering, Nehru Institute of Technology, Coimbatore, Tamil Nadu, India.
Periodicity:October - December'2017
DOI : https://doi.org/10.26634/jip.4.4.14163

Abstract

Brain tumor refers to the growth of abnormal tissues in human brain. Brain tumor can be cancerous or non-cancerous which may affect people of any age group. In this work, Gaussian Filter and Canny Edge Detection Technique for brain MRI segmentation are used. Gaussian filter is utilized to remove the noise and provide high quality images, whereas the Canny Edge Detector is used for Edge Detection process to detect all edges accurately and avoid the missing edges. The results obtained from this research work provide easy identification of tumor and to find out the exact location of tumor in human brain.

Keywords

Image Processing, Convolution Neural Network, Edge Detection, Segmentation, Classification.

How to Cite this Article?

Rethinam, C. (2017). Classification of Tumor Using Gaussian Filter and Canny Edge Detection Technique. i-manager’s Journal on Image Processing, 4(4), 16-21. https://doi.org/10.26634/jip.4.4.14163

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