15-16 July 2021
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture
Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060725
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 7, 2015.
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
Nagesh Vadaparthi, Srinivas Yerramalle and Suresh Varma Penumatsa, “An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture” International Journal of Advanced Computer Science and Applications(IJACSA), 6(7), 2015. http://dx.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},
doi = {10.14569/IJACSA.2015.060725},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060725},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {7},
author = {Nagesh Vadaparthi and Srinivas Yerramalle and Suresh Varma Penumatsa}
}
