A robust fuzzy clustering technique with spatial neighborhood information for effective medical image segmentation: An efficient variants of fuzzy clustering technique with spatial information for effective noisy medical image segmentation

@article{Beevi2010ARF,
  title={A robust fuzzy clustering technique with spatial neighborhood information for effective medical image segmentation: An efficient variants of fuzzy clustering technique with spatial information for effective noisy medical image segmentation},
  author={S. Zulaikha Beevi and M. Mohammed Sathik and K. Senthamaraikannan and J. H. Jaseema Yasmin},
  journal={2010 Second International conference on Computing, Communication and Networking Technologies},
  year={2010},
  pages={1-8}
}
Segmentation is an important step in many medical imaging applications and a variety of image segmentation techniques do exist. Of them, a group of segmentation algorithms is based on the clustering concepts. In our research, we have intended to devise efficient variants of Fuzzy C-Means (FCM) clustering towards effective segmentation of medical images. The… CONTINUE READING