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Proceedings Paper

Practical contour segmentation algorithm for small animal digital radiography image
Author(s): Fang Zheng; Gong Hui
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Paper Abstract

In this paper a practical, automated contour segmentation technique for digital radiography image is described. Digital radiography is an imaging mode based on the penetrability of x-ray. Unlike reflection imaging mode such as visible light camera, the pixel brightness represents the summation of the attenuations on the photon thoroughfare. It is not chromophotograph but gray scale picture. Contour extraction is of great importance in medical applications, especially in non-destructive inspection. Manual segmentation techniques include pixel selection, geometrical boundary selection and tracing. But it relies heavily on the experience of the operators, and is time-consuming. Some researchers try to find contours from the intensity jumping characters around them. However these characters also exist in the juncture of bone and soft tissue. The practical way is back to the primordial threshold algorithm. This research emphasizes on how to find the optimal threshold. A high resolution digital radiography system is used to provide the oriental gray scale image. A mouse is applied as the sample of this paper to show the feasibility of the algorithm.

Paper Details

Date Published: 6 March 2009
PDF: 6 pages
Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 72800K (6 March 2009); doi: 10.1117/12.819427
Show Author Affiliations
Fang Zheng, Huazhong Univ. of Science and Technology (China)
Gong Hui, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7280:
Seventh International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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