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基于高斯曲面阈值的CR数字胸片图像分割

Image Segmentation of Digital Chest Radiographs Basedon Gaussian Curve Plane Threshold Method

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【作者】 许朝晖张黎椿张道兵

【Author】 XU Zhao-hui1, ZHANG Li-chun2, ZHANG Dao-bing1(1. Xi′an Institute of Optics and Precision Mechanics of CAS, Xi′an 710068, China; 2. School of Automation and Information Engineering, Xi′an University of Technology, Xi′an 710048, China)

【机构】 中国科学院西安光学精密机械研究所西安理工大学信息与控制工程学院中国科学院西安光学精密机械研究所 陕西西安710068陕西西安710048陕西西安710068

【摘要】 以CR数字胸片图像为研究对象,提出基于高斯曲面阈值法的分割算法,它方便后继处理,可以得到比较完整的肋骨信息,为后期的计算机辅助诊断提供更为可靠的实验数据,是一种更为有效的算法。

【Abstract】 With digital chest radiographs being research objects in this paper, Gaussian curve plane threshold method is presented to detect the ribs in digital chest radiographs. The experimental results indicate that it is an effective method to detect the ribs in digital chest radiographs, and by using it subsequent processing can be simplified and full information of the ribs can be obtained, so more reliable experiment data can be supplied to subsequent computer aided diagnosis.

  • 【分类号】TP391.41
  • 【被引频次】2
  • 【下载频次】135
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