Wavelet Based Feature Extraction for Brain Tumour Diagnosis– A Survey

Abstract

The brain tumour is one of the major causes among human. To detect the brain tumour in earlier stages is performed by MRI. The detection of the tumour method follows pre-processing, feature extraction, and classification. In pre-processing remove the noise by Gaussian filters from the original images and enhance the image. And the enhanced image is used to extract the feature by symlet wavelet. The classification is performed by support vector machine (SVM).

Authors and Affiliations

Vaishali

Keywords

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  • EP ID EP20601
  • DOI -
  • Views 299
  • Downloads 6

How To Cite

Vaishali (2015). Wavelet Based Feature Extraction for Brain Tumour Diagnosis– A Survey. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(5), -. https://europub.co.uk/articles/-A-20601