线阵相机场曲复原及在异纤检测中的应用

王 季; 陆文凯

doi:10.3788/OPE.20101809.2116

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线阵相机场曲复原及在异纤检测中的应用

信息科学 | 更新时间：2020-08-12

- 线阵相机场曲复原及在异纤检测中的应用
- Restoration of field curved image from line camera and its applications in foreign fiber detecting
- 光学精密工程 2010年18卷第9期页码：2116-2122
- 作者机构：
  
  1. 清华大学自动化系智能技术与系统国家重点实验室北京,100084
  2. 煤炭科学研究总院西安研究院,陕西西安,710054
- 作者简介：
- 基金信息：
  
  国家863高技术研究发展计划资助项目(No.2006AA09A102-10)()
- DOI：10.3788/OPE.20101809.2116
  中图分类号： O438;TP391.4
- 收稿日期：2009-09-26，
  
  修回日期：2009-12-11，
  
  网络出版日期：2010-09-29，
  
  纸质出版日期：2010-09-20
- 稿件说明：
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王季, 陆文凯. 线阵相机场曲复原及在异纤检测中的应用[J]. 光学精密工程, 2010,18(9): 2116-2122

WANG Ji, LU Wen-kai. Restoration of field curved image from line camera and its applications in foreign fiber detecting[J]. 光学精密工程, 2010,18(9): 2116-2122
王季, 陆文凯. 线阵相机场曲复原及在异纤检测中的应用[J]. 光学精密工程, 2010,18(9): 2116-2122 DOI： 10.3788/OPE.20101809.2116.

WANG Ji, LU Wen-kai. Restoration of field curved image from line camera and its applications in foreign fiber detecting[J]. 光学精密工程, 2010,18(9): 2116-2122 DOI： 10.3788/OPE.20101809.2116.

摘要

为了消除相机的场曲给成像带来的空变模糊

提高图像分辨率和检测精度

针对在工业检测中广泛使用的线阵相机

提出了一种消除场曲影响的一维图像复原方法。在分析了空变模糊矩阵结构的基础上

通过估算部分区域的点扩散函数

再由偏移和插值得到全像场范围内的模糊矩阵。由模糊矩阵利用约束最小二乘法得到与观测信号无关的复原矩阵。检测过程中

将采集到的图像信号与复原矩阵相乘

获得复原后的图像。采用检测棉流内异性纤维的异纤检测系统

用含有较细异纤的实际数据对方法进行验证。结果表明

本方法在提高图像边缘处分辨率的同时增强了异常点与背景的差异

异常比增加了10%以上

为进一步提高检测精度创造了条件。

Abstract

To eliminate the spatially variant blurs caused by a field curvature from a camera and to improve the resolutions and the measuring precisions of images

a 1D image restoration method was proposed to overcome the influence of field curvature on an image from the camera used in industrial inspections. On analysis of the spatially variant blur matrix

the Point Spread Functions(PSFs) of a partial region were estimated and then the blur matrix of whole image field was computed by shifting and interpolation. On the basis of the blur matrix

the restored matrix which was unrelated to the observed signal was obtained by the constrained least square algorithm. In inspection

the restored image could be obtained by multiplying the acquired signals with restored matrix. This method has been applied in foreign fiber detecting systems and verified by real images containing fine fibers. Obtained results show that this method can improve the image resolution and enhance the difference between background and irregular points by 10%. Therefore

it improves the detecting accuracies for images.

关键词

Keywords

references

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