Restoration of field curved image from line camera and its applications in foreign fiber detecting

WANG Ji; LU Wen-kai

doi:10.3788/OPE.20101809.2116

您当前的位置：

首页 >

文章列表页 >

Restoration of field curved image from line camera and its applications in foreign fiber detecting

Article | 更新时间：2020-08-12

- Restoration of field curved image from line camera and its applications in foreign fiber detecting
- Optics and Precision Engineering Vol. 18, Issue 9, Pages: 2116-2122(2010)
- 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：
- DOI：10.3788/OPE.20101809.2116
  CLC： O438;TP391.4
- Received：26 September 2009，
  
  Revised：11 December 2009，
  
  Published Online：29 September 2010，
  
  Published：20 September 2010
- 稿件说明：
移动端阅览
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

SAWCHUK A A. Space-variant image restoration by coordinate transformations

. J. Opt. Soc. Am., 1974, 64(2):138-144.

邹谋炎. 反卷积和信号复原

. 北京: 国防工业出版社, 2004:184-286. ZOU M Y. Deconvolution and Signal Recovery

.Beijing:Defense Industry Press, 2004:184-286. (in Chinese)

TRUSSELL H J, HUNT B R. Image restoration of space-variant blurs by sectional methods

. IEEE Trans. on Acoustics, Speech, & Signal Processing:1978,26:608-609.

朱俊,文玉梅,李平. 一种像场弯曲的图像复原方法

. 光学精密工程, 2003,11(6):621-626. ZHU J, WEN Y M, LI P. Restoration of field-curved images

. Opt. Precision Eng., 2003,11(6):621-626. (in Chinese)

张玉叶,周晓东,王春歆. 应用像素运动模糊特征分割的空间移变降质复原

. 光学精密工程, 2009,17(5):1119-1126. ZHANG Y Y, ZHOU X D, WANG CH X. Space-variant blurred image restoration based on pixel motion-blur character segmentation

. Opt. Precision Eng., 2009,17(5):1119-1126. (in Chinese)

THELEN B J, PAXMAN R G, CARRARA D A, et al.. Overcoming turbulence-induced space-variant blur by using phase-diverse speckle

. Journal of Optics Society of America,2009,26(1):206-218.

NAGY J G, O'LEARY D P. Restoring images degraded by spatially-variant blur

. SIAM Journal on Scientific Computing, 1998,19:1063-1082.

BARDSLEY J, JEFFERIES S, NAGY J G, et al.. A computational method for the restoration of images with an unknown, spatially-varying blur

. Optics Express, 2006,14(5):1767-1782.

VAN KEMPEN G M P, VAN VLIET L J. The influence of the regularization parameter and the first estimate on the performance of Tikhonov regularized non-linear image restoration algorithms

. Journal of Microscopy, 2000,198:63-75.

苏畅,付忠良,谭雨辰. 一种在GPU上高精度大型矩阵快速运算的实现

. 计算机应用,2009(4):1177-1192. SU CH, FU ZH L, TAN Y CH. Fast operation of large-scale high-precision matrix based on GPU

. Journal of Computer Applications, 2009,(4):1177-1192.

Views

516

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-regularization image restoration method for X-ray images of integrated circuit

Restoration of blurred infrared image by adaptive double edge method

End-to-end image dehazing under separated features and collaborative network

Magneto-optical imaging restoration and recognition technology for damaged characters

Combined exposure computational imaging system and image restoration method

Related Author

MA Ge

LIN Sen

LI Zhifu

ZHAO Zhijia

ZOU Tao

Xueying CAO

Lin WANG

Qinyan TAN

Related Institution

School of Mechanical and Electrical Engineering， Guangzhou University

Infrared Detection Technology Research & Development Center of CASC

Shanghai Academy of Spaceflight Technology

School of Physics and Optoelectronic Engineering， Xidian University

School of Electronic and Information Engineering， Lanzhou Jiaotong University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰