Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications

@article{Chen1998ImageSV,
  title={Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications},
  author={Chang Wen Chen and Jiebo Luo and Kevin J. Parker},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1998},
  volume={7 12},
  pages={1673-83}
}
Image segmentation remains one of the major challenges in image analysis. In medical applications, skilled operators are usually employed to extract the desired regions that may be anatomically separate but statistically indistinguishable. Such manual processing is subject to operator errors and biases, is extremely time consuming, and has poor reproducibility. We propose a robust algorithm for the segmentation of three-dimensional (3-D) image data based on a novel combination of adaptive K… CONTINUE READING
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