A knowledge based system for diagnosing spinal deformations: moire pattern analysis and interpretation
A knowledge based system for diagnosing spinal deformations: moire pattern analysis and interpretation
复制标题
用于诊断脊柱变形的基于知识的系统：莫尔图案分析和解释
DOI：
10.1109/icpr.1992.201631
复制
发表时间：
1992
期刊：
影响因子：
--
通讯作者：
M. Batouche
中科院分区：
文献类型：
--
作者：
M. Batouche
对于年轻人来说，脊柱畸形是一个不断发展的过程，必须尽早发现和治疗。莫尔技术非常简单，不昂贵，不具侵略性，非常适合检测脊柱旋转。因此，一个计算机视觉系统的识别脊柱变形将是非常有用的决策支持。作者提出了一个基于知识的系统，用于诊断脊柱变形从人体背部云纹图像。为了实现这一计算机系统，该方法包括使用无限尺寸的对称指数滤波器，这是一个最佳的平滑滤波器从莫尔图像提取条纹轮廓，然后定位一些相关元素，如肩胛骨和脊柱的中心，使测量这是至关重要的诊断过程，最后进行三维重建和诊断。<<ETX>>
For young people, spinal deformations are an evolving process which must be detected and treated as early as possible. The moire technique is quite simple, not expensive, not aggressive and well suited to the detection of spinal rotations. Therefore, a computer vision system for recognition of spinal deformations would be very useful for decision support. The authors present a knowledge-based system for diagnosing spinal deformations from human back moire image. To realize this computer system, the approach consists of extracting fringe contours from moire images using the infinite size symmetric exponential filter which is an optimal smoothing filter, then localizing some relevant elements such as the centers of shoulder-blades and the spinal column to make measurement which are crucial for the diagnosis process, and finally performing 3D reconstruction and diagnosis.<<ETX>>