中华中医药学刊2024,Vol.42Issue(5) :13-16,后插5-后插6.DOI:10.13193/j.issn.1673-7717.2024.05.003

基于计算机视觉的腰背痛患者痧象图片处理和分析研究

Research on Processing and Analysis of Images of Guasha Marks on Patients with Low Back Pain Based on Computer Vision

姜荣荣 杨涛 徐桂华
中华中医药学刊2024,Vol.42Issue(5) :13-16,后插5-后插6.DOI:10.13193/j.issn.1673-7717.2024.05.003

基于计算机视觉的腰背痛患者痧象图片处理和分析研究

Research on Processing and Analysis of Images of Guasha Marks on Patients with Low Back Pain Based on Computer Vision

姜荣荣 1杨涛 1徐桂华1
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作者信息

  • 1. 南京中医药大学,江苏南京 210023
  • 折叠

摘要

目的 提出痧象图片处理和分析的思路和方法,为痧象数字化研究提供参考.方法 以计算机视觉技术为基础,以腰背痛患者背部痧象处理和分析为目标,提出痧象图片预处理、特征提取和筛选、痧象分析等系列方法,并进行实验验证.结果 痧象预处理方法能够实现原始图像颜色校正和背部区域精准分割;特征提取方法提取了腰背痛患者94个痧象颜色和纹理特征,筛选得到20个关键特征;痧象分析方法能够找到与不同证候相关的关键特征.结论 利用计算机视觉方法能够较好地完成痧象图片的预处理、特征识别和提取、痧象分析和理解,可以为痧象数字化和客观化研究提供支撑.

Abstract

Objective To propose the ideas and methods for processing and analysis of the images of Guasha marks,which can provide references for digital research of Guasha.Methods Based on computer vision technology,aiming at the processing and a-nalysis of Guasha images in patients with low back pain,a series of methods such as image preprocessing,feature extraction and screening,and analysis of Guasha image were proposed and verified by experiments.Results The image preprocessing method can achieve color correction of the original image and accurate segmentation of the back area.The feature extraction method extracted 94 color and texture features of low back pain patients,and screened 20 key features.The correlation analysis identified key fea-tures associated with different syndromes.Conclusion The use of computer vision methods can better complete the preprocessing,feature recognition and extraction,analysis and understanding of Guasha images,which can provide support for the digitization and objectification study of Guasha.

关键词

计算机视觉/腰背痛/刮痧/痧象特征

Key words

computer vision/low back pain/Guasha/features of Guasha marks

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基金项目

国家自然科学基金(81473791)

江苏省高等学校自然科学研究项目(21KJB360024)

江苏省卫生健康委科研项目(Z2022026)

出版年

2024
中华中医药学刊
中华中医药学会 ,辽宁中医药大学

中华中医药学刊

CSTPCD北大核心
影响因子:1.007
ISSN:1673-7717
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