Segmentation and Classification of Brain Tumor MRI Images Using Support Vector Machine

Authors

  • Mahalakshmi G PG & Department of Computer Science, Rani Anna Government College for Women, Tirunelveli, India
  • Chellam GH PG & Department of Computer Science, Rani Anna Government College for Women, Tirunelveli, India

Keywords:

Brain Tumor, Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA), Support Vector Machine (SVM), Magnetic Resonance image (MRI)

Abstract

This paper proposes a set of algorithms which work for the better detection and classification of Brain Tumor. The MRI image based Brain Tumor analysis would efficiently deal with classification process for Brain Tumor analysis. There are three stages namely Feature Extraction, Feature Reduction and Classification. Feature Extraction and Feature Reduction using for two algorithms. There are Discrete Wavelet Transform (DWT) and Principle Component Analysis (PCA). The Features Extracted are Mean, Standard deviation, Kurtosis, Skewness, Entropy, Contrast, Variance, Smoothness, Correlation and Energy. The result is then given to Support Vector Machine (SVM) for tumor classification as Benign or Malignant.

References

[1] N. Varuna Shree T. N. R. Kumar “Detection and classification of brain tumor MRI images with using Discrete Wavelet Transform and probabilistic neural network”. Published online: 8 January 2018

[2] M.Rama Krishna, Fahmeeda, G.Daizy Florence and K.Sravani, “Brain Tumor Image Segmentation Based On Discrete Wavelet Transform and Support Vector Machine”, International Journal for Modern Trends in Science and Technology, Vol. 03, Special Issue 02, 2017, pp. 12-18.

[3] 1P. Kumar and 2B. Vijayakumar “Brain Tumor MRI Image of the process of Segmentation of Classification Using by Principle Analysis Component (PCA) and RBF Kernel Based Support Vector Machine (SVM)” Middle-East Journal of Scientific Research 23 (9): 2106-2116, 2015 ISS 1990-9233 © IDOSI Publications, 2015

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Published

2025-11-25

How to Cite

[1]
G. Mahalakshmi and G. H. Chellam, “Segmentation and Classification of Brain Tumor MRI Images Using Support Vector Machine”, Int. J. Comp. Sci. Eng., vol. 7, no. 8, pp. 16–20, Nov. 2025.

Issue

Vol. 7 No. 8 (2019): IJCSE Special Issue April Edition

Section

Research Article

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