医疗卫生装备2018，Vol.39Issue(3)：10-14,5.DOI:10.7687/j.issn1003-8868.2018.03.010
基于角点与最小惯性轴的目标图形识别及其在医药领域的应用研究
Target graphic recognition based on angular point and minimum inertia axis and its application in medicine
程广斌 1杨洪刚 1江少锋 2刘阳 1张冕1
作者信息
- 1. 武警广东省总队医院医学工程科,广州510507
- 2. 南昌航空大学测试与光电工程学院,南昌330063
- 折叠
摘要
Abstract
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.关键词
角点/最小惯性轴/图形识别/目标/医药领域Key words
angular point/minimum inertia axis/graphic recognition/object/medicine分类
医药卫生引用本文复制引用
程广斌,杨洪刚,江少锋,刘阳,张冕..基于角点与最小惯性轴的目标图形识别及其在医药领域的应用研究[J].医疗卫生装备,2018,39(3):10-14,5.
