A HYBRID REGION GROWING ALGORITHM FOR MEDICAL IMAGE SEGMENTATION

@article{Muhammad2012AHR,
  title={A HYBRID REGION GROWING ALGORITHM FOR MEDICAL IMAGE SEGMENTATION},
  author={D. Muhammad and Noorul Mubarak and M. Mohammed Sathik and S. Zulaikha Beevi},
  journal={International Journal of Computer Science and Information Technology},
  year={2012},
  volume={4},
  pages={61-70}
}
In this paper, we have made improvements in region growing image segmentation. The First one is seeds select method, we use Harris corner detect theory to auto find growing seeds. Through this method, we can improve the segmentation speed. In this method, we use the Improved Harris corner detect theory for maintaining the distance vector between the seed pixel and maintain minimum distance between the seed pixels. The homogeneity criterion usually depends on image formation properties that are… 

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