Extraction and Features of Tumour from MR brain images

Abstract

Medical image processing is the most challenging and emerging field now a days. Here we describe the strategy to detect and extraction of Brain tumour from patient’s MRI scan Images of the Brain. We collected MR brain images from Harvard Medical School website and OASIS dataset. First Otsu’s Binarization is employed and K means clustering for Segmentation. Then wavelet transform and PCA were used to extract and reduce the dimensions of the features. Now from these we calculate the various parameter values.

Authors and Affiliations

Sai Prasanna M, Naga Sai P, T. V. C. L. Surekha, P. Srikanth, V. Sai Swaroop, P. Vasudeva Reddy

Keywords

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  • EP ID EP439002
  • DOI 10.9790/2834-1302016771.
  • Views 142
  • Downloads 0

How To Cite

Sai Prasanna M, Naga Sai P, T. V. C. L. Surekha, P. Srikanth, V. Sai Swaroop, P. Vasudeva Reddy (2018). Extraction and Features of Tumour from MR brain images. IOSR Journal of Electronics and Communication Engineering(IOSR-JECE), 13(2), 67-71. https://europub.co.uk/articles/-A-439002