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Research Article | Open Access |

An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture

Author 1: Nagesh Vadaparthi Author 2: Srinivas Yerramalle Author 3: Suresh Varma Penumatsa
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 7 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.060725

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Abstract

A novel approach for segmenting the MRI brain image based on Finite Truncated Skew Gaussian Mixture Model using Fuzzy C-Means algorithm is proposed. The methodology is presented evaluated on bench mark images. The obtained results are compared with various other techniques and the performance evaluation is performed using Image quality metrics and Segmentation metrics.

Keywords

Truncated Skew Gaussian Mixture model Segmentation Image quality metrics Segmentation metrics Fuzzy C-Means clustering

How to Cite this Article

Vadaparthi, N., Yerramalle, S., & Penumatsa, S. V. (2015). An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture. International Journal of Advanced Computer Science and Applications, 6(7). https://doi.org/10.14569/IJACSA.2015.060725

Vadaparthi, Nagesh, et al.. "An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture." International Journal of Advanced Computer Science and Applications, vol. 6, no. 7, 2015, https://doi.org/10.14569/IJACSA.2015.060725.

@article{Vadaparthi2015,
  title     = {An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Nagesh Vadaparthi and Srinivas Yerramalle and Suresh Varma Penumatsa},
  doi       = {10.14569/IJACSA.2015.060725},
  url       = {https://doi.org/10.14569/IJACSA.2015.060725}
}

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