基于计算机视觉的电子血压计数字识别算法研究与设计

Research and Design of Digital Recognition Algorithm of Electronic Sphygmomanometer Based on Computer Vision

针对2020年国家药品监督管理局颁布的即将全面禁止使用水银血压计相关规定和目前广泛采用的电子血压计需要定期接受检定和质量检测的现状,该研究提出了一种基于数字图像处理和字符识别的智能算法,实现了在检定或质量检测中自动获取电子血压计示值。在硬件平台上,通过树莓派连接摄像头,获取电子血压计的图像;在软件开发上,通过在树莓派上运行基于计算机视觉的OpenCV库,采用尺度变换、灰度转换、高斯平滑和边缘检测等图像预处理方法,结合字符分割与识别技术,实现了电子血压计示值的自动识别,有效避免了人为因素导致的误差或错误。该数字识别算法的研究与设计为开发自动检定电子血压计的智能装置奠定了前期技术基础,且对于电子仪器仪表的字符识别或研制自动化的仪器示值记录装置具有一定的借鉴价值。

Aiming at the current situation that National Medical Products Administration promulgated the relevant regulations on complete prohibition of the use of mercury sphygmomanometers in 2020 and the currently widely used electronic sphygmomanometers need to undergo regular verification and quality testing,this study proposed a intelligent algorithm based on digital image processing and character recognition.The intelligent algorithm realized the automatic acquisition of the electronic sphygmomanometer indication value in the verification or quality testing.On the hardware platform,the images of electronic sphygmomanometer were obtained by video camera head connected with Raspberry Pi;In the software development,the automatic recognition of electronic sphygmomanometer's indication value was realized by running the computer vision-based OpenCV library on Raspberry Pi,using image preprocessing methods such as scale transformation,grayscale conversion,Gaussian smoothing and edge detection,and character segmentation and recognition technology,thus effectively avoiding mistakes or errors caused by human factors.The research and design of the digital recognition algorithm has laid a preliminary technical foundation for the development of intelligent devices for automatic verification of electronic sphygmomanometers,and has a certain reference value for character recognition of electronic instruments or the development of automatic instrument indication value recording devices.