摘要
由于传统血型检测结果的确定取决于有经验的工作人员,使检测效率低下且准确性有待提高。为此,针对微流控血样芯片,首次提出了一种基于图像识别技术的P-HSV(Perimeter-Hue,Saturation,Value)综合判读方法。该方法采用血液凝集反应后的血红细胞凝集尺寸和颜色对血液类型进行综合判读。尺寸判读依据反应腔内凝集块轮廓边缘周长和凝集块数量进行分级,颜色判读依据反应腔内凝集块颜色饱和度(S:Saturation)与明度(V:Value)比值进行分级。根据尺寸和颜色判读结果综合判断凝集反应的等级。由于该方法依据机器视觉原理进行血液凝集反应结果的判断,因此可以快速、准确、客观判断血液类型,杜绝了人为判断的主观性,极大提高了检测速度和准确率。
Rapidity and accuracy are most important in medical treatment.Traditional blood tests rely on experienced physicians,which leads to low efficiency and accuracy.For the first time,a comprehensive determination method based on image recognition technology,named P-HSV(Perimeter-Hue,Saturation,Value),is proposed for microfluidic blood sample chips.Size and color are used for integrated interpretation of blood types.Size interpretation is based on the contour perimeter and number of agglutination clusters within the reaction chamber,while color interpretation is based on categorization of the color saturation(S:Saturation)to brightness(V:Value)ratio of agglutination clusters within the reaction chamber.The grade of blood agglutination reaction is synthetically determined by size and color results.In this method,machine vision is used to determine the grade of blood agglutination reaction,resulting in accurate and rapid blood type determination.This reduces the subjective judgment of artificial judgment,improving the detection speed and accuracy greatly.
作者
付瑛琪
赵一兵
唐琪
佟悦
李彦清
FU Yingqi;ZHAO Yibing;TANG Qi;TONG Yue;LI Yanqing(School of Mechanical and Electrical Engineering,Changchun University of Science and Technology,Changchun 130022,China;63853 Unit,Chinese People s Liberation Army,Baicheng 137001,China)
出处
《吉林大学学报（信息科学版）》
CAS
2024年第3期465-475,共11页
Journal of Jilin University（Information Science Edition）
基金
吉林省科技厅重点研发基金资助项目(20210204145YY)。
关键词
血型检测
图像判读
轮廓周长
HSV颜色模型
blood types
image interpretation
contour perimeter
hue,saturation,value(HSV)color model
