AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hos...AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hospital from Spetember to December 2022 were included,and 13470 infrared pupil images were collected for the study.All infrared images for pupil segmentation were labeled using the Labelme software.The computation of pupil diameter is divided into four steps:image pre-processing,pupil identification and localization,pupil segmentation,and diameter calculation.Two major models are used in the computation process:the modified YoloV3 and Deeplabv 3+models,which must be trained beforehand.RESULTS:The test dataset included 1348 infrared pupil images.On the test dataset,the modified YoloV3 model had a detection rate of 99.98% and an average precision(AP)of 0.80 for pupils.The DeeplabV3+model achieved a background intersection over union(IOU)of 99.23%,a pupil IOU of 93.81%,and a mean IOU of 96.52%.The pupil diameters in the test dataset ranged from 20 to 56 pixels,with a mean of 36.06±6.85 pixels.The absolute error in pupil diameters between predicted and actual values ranged from 0 to 7 pixels,with a mean absolute error(MAE)of 1.06±0.96 pixels.CONCLUSION:This study successfully demonstrates a robust infrared image-based pupil diameter measurement algorithm,proven to be highly accurate and reliable for clinical application.展开更多
针对深施型液肥穴施肥机存在损伤作物、穴口宽度大和喷肥效率低等问题,设计了一种深施型斜置式液肥穴施肥机。基于斜置式扎穴和参数反求求解设计思想,借助人机交互平台,设计关键部件扎穴机构,优化了机构的结构与工作参数,分析了喷肥针...针对深施型液肥穴施肥机存在损伤作物、穴口宽度大和喷肥效率低等问题,设计了一种深施型斜置式液肥穴施肥机。基于斜置式扎穴和参数反求求解设计思想,借助人机交互平台,设计关键部件扎穴机构,优化了机构的结构与工作参数,分析了喷肥针进肥接口运动轨迹。根据喷肥针入土、出土喷肥技术特点,运用差动轮系传动和空间凸轮机构的组合传动形式,设计了关键部件液肥分配机构,减少了输肥管路复杂的连接配置,构建了出肥软管接口运动模型,解析了满足于进肥软管接口协同运动机理。进行了深施型斜置式液肥穴施肥机田间性能检测试验,结果表明,该机扎穴性能优越,肥料喷射均匀,对作物的机械损伤小,穴口宽度、作物损伤率、施肥量和施肥深度分别为45.0 mm、0.3%、28.5 m L/次和102 mm,各项指标与前期设计差异较小,且符合农艺要求。展开更多
文摘AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hospital from Spetember to December 2022 were included,and 13470 infrared pupil images were collected for the study.All infrared images for pupil segmentation were labeled using the Labelme software.The computation of pupil diameter is divided into four steps:image pre-processing,pupil identification and localization,pupil segmentation,and diameter calculation.Two major models are used in the computation process:the modified YoloV3 and Deeplabv 3+models,which must be trained beforehand.RESULTS:The test dataset included 1348 infrared pupil images.On the test dataset,the modified YoloV3 model had a detection rate of 99.98% and an average precision(AP)of 0.80 for pupils.The DeeplabV3+model achieved a background intersection over union(IOU)of 99.23%,a pupil IOU of 93.81%,and a mean IOU of 96.52%.The pupil diameters in the test dataset ranged from 20 to 56 pixels,with a mean of 36.06±6.85 pixels.The absolute error in pupil diameters between predicted and actual values ranged from 0 to 7 pixels,with a mean absolute error(MAE)of 1.06±0.96 pixels.CONCLUSION:This study successfully demonstrates a robust infrared image-based pupil diameter measurement algorithm,proven to be highly accurate and reliable for clinical application.
文摘针对深施型液肥穴施肥机存在损伤作物、穴口宽度大和喷肥效率低等问题,设计了一种深施型斜置式液肥穴施肥机。基于斜置式扎穴和参数反求求解设计思想,借助人机交互平台,设计关键部件扎穴机构,优化了机构的结构与工作参数,分析了喷肥针进肥接口运动轨迹。根据喷肥针入土、出土喷肥技术特点,运用差动轮系传动和空间凸轮机构的组合传动形式,设计了关键部件液肥分配机构,减少了输肥管路复杂的连接配置,构建了出肥软管接口运动模型,解析了满足于进肥软管接口协同运动机理。进行了深施型斜置式液肥穴施肥机田间性能检测试验,结果表明,该机扎穴性能优越,肥料喷射均匀,对作物的机械损伤小,穴口宽度、作物损伤率、施肥量和施肥深度分别为45.0 mm、0.3%、28.5 m L/次和102 mm,各项指标与前期设计差异较小,且符合农艺要求。
