Automatic Segmentation of Skin and Bone in CT Images using Iterative Thresholding and Morphological Image Processing
Ho Chul Kang, Yeong-Gil Shin, Jeongjin Lee · IEIE Transactions on Smart Processing and Computing · 2014
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.