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Precise Positioning of Circular Mark Points and Transistor Components in Surface Mounting Technology Applications

机译:表面安装技术应用中圆形标记点和晶体管组件的精确定位

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摘要

The visual inspection algorithms are the core of automatic optical inspection system on surface mounting machines. This article is concerned with the development of precise positioning algorithms for circular mark points and transistor (TR) components on surface mounting devices. To handle nonuniform illumination or occlusion of other components, a polar coordinate transform and smoothness selection based circular mark point location method is proposed. The TR components are fundamental chips in electronic products and have various package types. The illumination changes, background disturbance, and the diversity of package types have imposed great challenges on the development of the uniform algorithm for detection and location of TR components. To deal with these issues, the 1-D integral image based TR component detection and location algorithm is proposed and the coordinates and orientation of the component are calculated simultaneously. The efficiency of the proposed methods is tested on real images and compared with classical Hough transform method, commercial algorithms on SMT482 device, and two methods of Halcon software.
机译:视觉检查算法是表面安装机上自动光学检测系统的核心。本文涉及在表面安装装置上的圆形标记点和晶体管(TR)部件的精确定位算法的开发。为了处理其他组分的非均匀照明或闭塞,提出了极性坐标变换和基于光滑度选择的圆形标记点定位方法。 TR组件是电子产品中的基础芯片,并具有各种包装类型。封装类型的照明变化,背景干扰和多样性对TR组件的检测和位置的统一算法产生了巨大挑战。为了处理这些问题,提出了基于1-D积分图像的TR分量检测和位置算法,同时计算组件的坐标和方向。在真实的图像上测试了所提出的方法的效率,并与SMT482设备上的商业算法以及SMT482设备的商业算法进行比较,以及两种Halcon软件的方法。

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