摘要
目的:对医药领域常见的几种基本图形进行分类识别,并探索实际应用。方法:结合角点与最小惯性轴的方法,先根据图形角点数判断是否需要过形心做最小惯性轴,比较待识别图形周长、面积与已知图形理论值,判断所属类别。结果:该方法与待判断图形摆放位置无关,具有尺度、旋转不变性,对模拟和实际图形识别率高。结论:基于角点与最小惯性轴结合的判别方法对平台上的药片与胶囊的常见形状判别效果较好。
Objective To classify and identify several kinds of basic graphics in medicine,and to explore the practical application.Methods The method combining angular points and minimum inertia axis was applied to execute the study.The necessity to draw a minimum inertia axis through the centroid was determined based on the number of the angular points,and the category of the target graphic was judged by comparing its perimeter and area with the theoretical value of the known graphics.Results The method had high recognition rates for simulation and actual graphics,and was irrelevant to the position,scale and rotation of the graphic.Conclusion The method based on angular points and minimum inertia axis gains advantages when used to recognize the tablet and capsule on the platform.
作者
程广斌
杨洪刚
江少锋
刘阳
张冕
CHENG Guang-bin;YANG Hong-gang;JIANG Shao-feng;LIU Yang;ZHANG Mian(Department of Medical Engineering,Guangdong Corps Hospital of PAP,Guangzhou 510507,China;College of Testing and Optoelectronic Engineering,Nanchang Aeronautical University,Nanchang 330063,China)
出处
《医疗卫生装备》
CAS
2018年第3期10-14,共5页
Chinese Medical Equipment Journal
关键词
角点
最小惯性轴
图形识别
目标
医药领域
angular point
minimum inertia axis
graphic recognition
object
medicine
