Brain Tumor Detection Using Color-Based K-Means Clustering Segmentation

@article{Wu2007BrainTD,
  title={Brain Tumor Detection Using Color-Based K-Means Clustering Segmentation},
  author={Ming-Ni Wu and Chia-Chen Lin and Chin-Chen Chang},
  journal={Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)},
  year={2007},
  volume={2},
  pages={245-250}
}
In this paper, we propose a color-based segmentation method that uses the K-means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color-based segmentation algorithm with K-means is to convert a given gray-level MR image into a color space image and then separate the position of tumor objects from other items of an MR image by using K-means clustering and histogram-clustering. Experiments demonstrate that the method can successfully… CONTINUE READING
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A Study of Efficiency and Accuracy in the Transformation from RGB to CIELAB Color Space

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