计算机科学 ›› 2009, Vol. 36 ›› Issue (7): 288-291.doi: 10.11896/j.issn.1002-137X.2009.07.071

• 图形图像及体系结构 • 上一篇    下一篇

基于SFS原理的SMT焊点表面三维重构技术研究

赵辉煌,周德俭,黄春跃,张少华   

  1. (西安电子科技大学机电工程学院 西安710071);(广西工学院机械工程系 柳州545006);(桂林电子科技大学机电工程学院 桂林541004)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受军事预研项目资助。

SMT Solder Joint 3D Reconstruction Technology Based on Shape from Shading

ZHAO Hui-huang,ZHOU De-jian,HUANG Chun-yue,ZHANG Shao-hua   

  • Online:2018-11-16 Published:2018-11-16

摘要: 基于明暗重构形状原理重构表面组装焊点的表面三维形状过程是:先通过图像采集设备,采集到SMT焊点图像,使用相关的图像处理技术,对SM T焊点图像进行处理;根据一个确定的反射模型建立物体表面形状与图像亮度之间的约束关系和物体表面形状的先验知识建立物体表面形状参数的约束关系,然后对这些约束关系联立求解,可得到物体表面的三维形状。同时针对不可接受SMT焊点图像重构出的三维图像不够理想的缺点进行了改进。在阐述其基本思想和原理的基础上,结合实例介绍了该技术的实现方法与步骤,对其中焊点图像的获取与处理、焊点三维重构技术算法等主要内容与关键技术进行了研究和探讨,并对结果进行了分析验证。

关键词: SMT焊点,三维重构,图像处理,明暗重构形状

Abstract: The principles of the surface mount solder 3D reconstruction technology based on Shape from Shading could be described as following; the practical solder joint image was obtained by image acquisition, and deal with the solder joint image by using some image processing arithmetic. According to a definitive reflection model, the constraint relation between the surface shape and image lighteness was built. Another constraint relation for the parameters of the objects surface shape is based on the prior knowledge of the object surface shape. Then finding solutions by those constraint relations can obtain the 3D shape of the objects surface. Furthermore,aiming at the defects of unfavorable result for the unaccepted solder joint 3D reconstruction,we improved 3D reconstruction algorithm. Based on expatiation of the principles of the surface mount solder 3D reconstruction technology, its implementation method and steps were introduced with practical examples. Some key technologies, including image acquisition and processing, solder joints three-dimensional and algorithms were also discussed. Some results were given as examples to verify feasibility of this technology.

Key words: Surface mount technology solder joint,Three-dimensional reconstruction,Image processing,SFS

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