Fast orthogonal edge projection algorithm for inspection of film defects

LIANG Yan; LIU Wen-yao

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Fast orthogonal edge projection algorithm for inspection of film defects

更新时间：2020-08-12

- Fast orthogonal edge projection algorithm for inspection of film defects
- Optics and Precision Engineering Vol. 12, Issue 3, Pages: 323-329(2004)
- 作者机构：
  
  天津大学, 精密仪器与光电子工程学院天津,300072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Received：19 November 2003，
  
  Revised：22 February 2004，
  
  Published Online：15 June 2004，
  
  Published：15 June 2004
- 稿件说明：
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梁燕, 刘文耀. 正交边缘投影快速算法在胶片弊病识别中的应用[J]. 光学精密工程, 2004,(3): 323-329

LIANG Yan, LIU Wen-yao. Fast orthogonal edge projection algorithm for inspection of film defects[J]. Editorial Office of Optics and Precision Engineering, 2004,(3): 323-329
梁燕, 刘文耀. 正交边缘投影快速算法在胶片弊病识别中的应用[J]. 光学精密工程, 2004,(3): 323-329 DOI：

LIANG Yan, LIU Wen-yao. Fast orthogonal edge projection algorithm for inspection of film defects[J]. Editorial Office of Optics and Precision Engineering, 2004,(3): 323-329 DOI：

摘要

为实现对胶片弊病的实时识别

提出了一种正交边缘投影快速检测算法.基于对红外胶片图像特点的分析

通过综合运用邻域平均、边缘检测和投影法等图像处理技术

实现了对胶片弊病的快速、准确识别

并据此算法编制了相应的VC++程序.该算法保证实时的关键是将二维图像投影为两个一维信号进行处理

该算法还可根据实际需要实现功能扩展

用于确定弊病的大小及严重程度.通过在乐凯胶片集团公司的在线实验

证明其能够准确检测出各种典型的胶片弊病

处理一帧大小为659×494像素的图像只需20ms.

Abstract

A fast orthogonal edge projection algorithm is proposed for real-time inspection of film defects on production line. By analyzing the characteristics of infrared images of film

using image-processing techniques including neighborhood averaging

edge detection and projection method

etc.

and compiling the VC++ program film defects are quickly identified. In this process

the key is the projection method that transforms two-dimension images into two one-dimension vectors. Furthermore

new functions

such as evaluation of defect area and severity can be added to the algorithm in accordance with the actual requirements. On-line experiments in Lucky Film Corp. proved that the algorithm can detect all kinds of film defects and process a 659+494 image within 20 ms.

关键词

Keywords

references

LIANG Y, LIU W Y, LIU M, et al. A new-style defect inspection system of film[J]. SPIE, 2002, 4921:89-96.

罗希平,田捷,诸葛婴,等.图像分割方法综述[J].模式识别与人工智能,1999,12(3):300-312.LUO X P, TIAN J, ZHU G Y, et al. A survey on image segmentation methods[J]. Pattern Recognition and Artificial Intelligence, 1999,12(3): 300-312.(in Chinese)

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赵巨波,孙华燕,杜巍.一种图像边缘特征提取算法[J].光学精密工程,2000,8(4):325-327.ZHAO J B, SUN H Y, DU W. Edge feature extraction method for image[J]. Optics and Precision Engineering,2000, 8(4): 325-327.(in Chinese)

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艾海舟,王栓,何克忠.基于差分图像的人脸检测[J].中国图像图形学报,1998,3(12):987-992.AI H ZH, WANG SH, HE K ZH. Difference picture based face detection[J]. Journal of Image and Graphics,1998, 3(12):987-992.(in Chinese)

何斌,马天予,王运坚,等.Visual C++数字图像处理[M].北京:人民邮电出版社,2001.HE B, MA T Y, WANG Y J, et al. Visual C++ digital image processing[M].Beijing:People′s Posts & Telecommunications Press, 2001.(in Chinese)

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