LU Jun, XIN Lidong, QIAN Zhiyu, YE Kexue. Rapid Detection of Scoliosis Based on Digital Image Processing[J]. Chinese Journal of Medical Instrumentation, 2019, 43(4): 259-262. DOI: 10.3969/j.issn.1671-7104.2019.04.007
      Citation: LU Jun, XIN Lidong, QIAN Zhiyu, YE Kexue. Rapid Detection of Scoliosis Based on Digital Image Processing[J]. Chinese Journal of Medical Instrumentation, 2019, 43(4): 259-262. DOI: 10.3969/j.issn.1671-7104.2019.04.007

      Rapid Detection of Scoliosis Based on Digital Image Processing

      • 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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