IEIE Transactions on Smart Processing and Computing

대한전자공학회 (The Institute of Electronics and Information Engineers)
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Automatic Segmentation of Skin and Bone in CT Images using Iterative Thresholding and Morphological Image Processing

  • Kang, Ho Chul (School of Computer Science and Engineering, Seoul National University) ;
  • Shin, Yeong-Gil (School of Computer Science and Engineering, Seoul National University) ;
  • Lee, Jeongjin (School of Computer Science & Engineering, Soongsil University)
  • 투고 : 2013.12.20
  • 심사 : 2014.05.12
  • 발행 : 2014.08.31
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초록

This paper proposes a fast and efficient method to extract the skin and bone automatically in CT images. First, the images were smoothed by applying an anisotropic diffusion filter to remove noise. The whole body was then detected by thresholding, which was set automatically. In addition, the contour of the skin was segmented using morphological operators and connected component labeling (CCL). Finally, the bone was extracted by iterative thresholding.

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참고문헌

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