重庆大学学报：自然科学版2012，Vol.35Issue(3)：40-46,7.
血浆絮状物无损检测系统设计
Design of nondestructive test system for plasma clots
摘要
Abstract
One of the most important measures that are used to guarantee blood transfusion safety is to detect clots in the plasma before transfusion.To overcome the disadvantages of manual detection method,this research designs a nondestructive testing（NDT） system for plasma clots inspection based on machine vision technique and artificial neural networks.The key technology for system design are studied and presented.Image acquisition is performed by custom-designed software based on MATLAB platform,and the methods of image cut,reverse color,median filter as well as gray cutting are adopted to preprocess image.The use of fisher discrimination method,combined with iterative threshold segmentation method and the selection of connected domain,can successfully eliminate the interference of air bubble and correctly extract the image of plasma clots.Plasma clots are discriminated by a recognition model based on artificial neural network BP algorithms.The results of clinical contrast experiment shows that the system can effectively detect whether plasma contains plasma clots and the new system shows a much higher degree of repeatability and stability.From the image acquisition and processing to the recognition of plasma clots,the detecting time of a sample is no more than 1 min.关键词
机器视觉/神经网络/血浆絮状物/智能无损检测/fisher判别方法Key words
machine vision/neural networks/plasma clots/intelligent nondestructive testing/fisher discrimination method分类
医药卫生引用本文复制引用
陈里里,廖强,杨正书,胡雪,张国珍..血浆絮状物无损检测系统设计[J].重庆大学学报：自然科学版,2012,35(3):40-46,7.基金项目
重庆市自然科学基金资助项目 （）
重庆市科委攻关项目 （）
重庆大学“211工程”三期创新人才培养计划建设项目 （）
重庆市卫生局科研项目（2010-2-086） 感谢重庆市中心血站、重庆医科大学附属第一医院输血科对本研究的大力支持. （）
