基于数字图像处理的脊柱侧弯快速检测系统

      Rapid Detection of Scoliosis Based on Digital Image Processing

      • 摘要: 目的 设计一套能够用于普查的脊柱侧弯快速检测系统。方法 使用摄像机拍摄人体背部正立图像,然后对图像进行感兴趣区域提取,再经图像预处理后提取得到人体背部脊柱特征点,将特征点拟合成脊柱轮廓曲线,最终根据轮廓曲线计算得到脊柱侧弯Cobb角大小,判断脊柱侧弯程度。结果 通过该方法可以得到脊柱轮廓曲线,计算出脊柱侧弯Cobb角大小,能够快速有效准确地检测脊柱侧弯。结论 与传统的方法相比较,使用数字图像处理的方法能够实现快速无损地检测脊柱侧弯,节省大量人力物力,对全国青少年脊柱侧弯的普查具有重要意义。

         

        Abstract: Objective To design a rapid scoliosis detection system for general survey. Methods The camera was used to take the upright image of human back, and then the region of interest was extracted. After image preprocessing, the feature points of human back spine were extracted. The feature points were fitted into the spine contour curve. Finally, the Cobb angle of scoliosis was calculated according to the contour curve, and the scoliosis degree was judged. Results The outline curve of the spine can be obtained by this method, and the Cobb angle of scoliosis can be calculated. It can detect scoliosis quickly, effectively and accurately. Conclusion Compared with the traditional methods, the digital image processing method can achieve rapid and non-destructive detection of scoliosis, save a lot of manpower and material resources, and is of great significance to the national survey of adolescent scoliosis.

         

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