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基于计算机视觉的车灯光导色差检测
引用本文:王晨,戴曙光,穆平安.基于计算机视觉的车灯光导色差检测[J].电子测量技术,2016,39(8):90-95.
作者姓名:王晨  戴曙光  穆平安
作者单位:上海理工大学光电信息与计算机工程学院 上海 200093
摘    要:设计了一种汽车车灯光导的色差检测系统。该系统主要由计算机、高性能 CCD 摄像机硬件平台和LabVIEW软件平台组成。首先由摄像机分别对正常发光和有缺陷的光导进行图像拍摄,然后对图像进行直方图阈值分割,最后将图像的颜色模型由 RGB模型转换到 CIELAB 模型上,在此模型上分别应用 CIE L?a?b?和 CIE2000色差公式对正常发光的光导和有缺陷的光导图像进行计算和对比,从而完成车灯光导的色差检测。

关 键 词:LabVIEW  车灯光导  图像处理  颜色模型  色差检测

Color difference detection of light guide based on computer vision
Affiliation:School of Optical Electrical and Computer Engineering in University of Shanghai for Science and Technology, Shanghai 200093,School of Optical Electrical and Computer Engineering in University of Shanghai for Science and Technology, Shanghai 200093 and School of Optical Electrical and Computer Engineering in University of Shanghai for Science and Technology, Shanghai 200093
Abstract:A color-difference detection of light guide in the automobile system is designed in this paper.This system consists of a computer,a high-performance CCD camera hardware platform and a LabVIEW software of national instruments platform.First,use the computer to control the CCD camera to acquire the image of the normal and defective light guide.Then segment these images based on a method of histogram threshold segmentation.At last, transform these images’color model from RGB model to CIELAB model,then apply the color difference formula CIE L?a?b? and CIE2000 to calculate and contrast the color-difference values between the normal and the detective images.So then finish the detection of color-difference of light guide in the automobile.
Keywords:LabVIEW  light guide  image processing  color model  color-difference detection
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