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Method and system for automatically calibrating a color-based machine vision system

机译:自动校准基于颜色的机器视觉系统的方法和系统

摘要

A calibration algorithm is provided for calibrating a machine vision system including a color camera, a framegrabber and an illumination source wherein subsequently acquired images are processed on a pixel-by- pixel basis. After framegrabber offsets are measured to obtain initial or offset calibration data, the camera is pointed at a target monotone patch of known reflectance such as pure white and the camera outputs for red, green and blue are determined while observing the monotone patch to obtain spatial calibration data. The gain for each of the output channels of the color camera is automatically determined from the initial calibration data. Applying the three gain factors to a subsequent image on the pixel-by-pixel basis allows one to end up with a color-corrected image without incurring any time performance penalty. At any time during an inspection process, a small area of white reflectance can be observed. The resulting dynamic white calibration data is used to correct for any medium to long term temporal variation in imaging conditions.
机译:提供了一种用于对机器视觉系统进行校准的校准算法,该机器视觉系统包括彩色相机,抓帧器和照明源,其中,随后获取的图像在逐像素的基础上进行处理。测量帧采集器偏移以获得初始或偏移校准数据后,将相机对准已知反射率的目标单调色标,例如纯白色,并在观察单调色标的同时确定相机的红色,绿色和蓝色输出,以获取空间校准数据。彩色摄像机每个输出通道的增益是根据初始校准数据自动确定的。在逐个像素的基础上将三个增益因子应用于后续图像,可以使最终获得色彩校正的图像,而不会造成任何时间性能损失。在检查过程中的任何时候,都可以观察到小面积的白色反射率。所得的动态白色校准数据用于校正成像条件中的任何中长期变化。

著录项

  • 公开/公告号US6016161A

    专利类型

  • 公开/公告日2000-01-18

    原文格式PDF

  • 申请/专利权人 MEDAR INC.;

    申请/专利号US19980053595

  • 发明设计人 DAVID A. ROBINSON;

    申请日1998-04-01

  • 分类号H04N17/00;

  • 国家 US

  • 入库时间 2022-08-22 01:38:10

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