Automatic Segmentation of Leg Bones by Using Active Contours
- Automatic Segmentation of Leg Bones by Using Active Contours
- 김선희; 김영준; 박세형; 이득희
- image segmentation
- Issue Date
- IEEE Engineering in Medicine and Biology Society (EMBC)
- In this paper, we present a new active contours model to segment human leg bones in computed tomography images that is based on a variable-weighted combination of local and global intensity. This model can split an object surrounded by both weak and strong boundaries, and also distinguish very adjacent objects with those boundaries. The ability of this model is required for segmentation in medical images, e.g., human leg bones, which are usually composed of highly inhomogeneous
objects and where the distances among organs are very close. We developed an evolution equation of a level set function whose zero level set represents a contour. An initial contour is automatically obtained by applying a histogram based multiphase segmentation method. We experimented with computed tomography images from three patients, and demonstrate the efficiency of the proposed method in experimental results.
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- KIST Publication > Conference Paper
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