强反射表面缺陷图像预处理

杨永敏; 樊继壮; 赵杰

doi:10.3788/OPE.20101810.2288

您当前的位置：

首页 >

文章列表页 >

强反射表面缺陷图像预处理

信息科学 | 更新时间：2020-08-12

- 强反射表面缺陷图像预处理
- Preprocessing for highly reflective surface defect image
- 光学精密工程 2010年18卷第10期页码：2288-2296
- 作者机构：
  
  哈尔滨工业大学机器人技术与系统国家重点实验室,黑龙江哈尔滨,150080
- 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.2007AA041501)();国家重大科技专项课题资助项目(No.2009ZX04004-062)()
- DOI：10.3788/OPE.20101810.2288
  中图分类号： TP391.4
- 收稿日期：2009-12-11，
  
  修回日期：2010-03-10，
  
  网络出版日期：2010-10-28，
  
  纸质出版日期：2010-10-20
- 稿件说明：
移动端阅览
杨永敏, 樊继壮, 赵杰. 强反射表面缺陷图像预处理[J]. 光学精密工程, 2010,18(10): 2288-2296

YANG Yong-min, FAN Ji-zhuang, ZHAO Jie. Preprocessing for highly reflective surface defect image[J]. Editorial Office of Optics and Precision Engineering , 2010,18(10): 2288-2296
杨永敏, 樊继壮, 赵杰. 强反射表面缺陷图像预处理[J]. 光学精密工程, 2010,18(10): 2288-2296 DOI： 10.3788/OPE.20101810.2288.

YANG Yong-min, FAN Ji-zhuang, ZHAO Jie. Preprocessing for highly reflective surface defect image[J]. Editorial Office of Optics and Precision Engineering , 2010,18(10): 2288-2296 DOI： 10.3788/OPE.20101810.2288.

摘要

为了校正强反射表面图像的亮度不均匀性

抑制局部强亮度现象

同时使其保留足够多的原始图像信息

研究了强反射表面缺陷图像的预处理方法。分析了强反射表面的光学特性

研究了偏微分方程理论及同态滤波算法

在此基础上提出了一种基于偏微分方程的同态滤波算法

即采用热传导方程滤波算子对同态分解的图像进行处理。引入信息熵对不同尺度参数下的处理效果进行评价

从而确定热传导同态滤波的尺度参数

并将该算法与背景去除法、基于小波的同态滤波算法进行了比较。对比实验表明

采用提出的算法处理后得到的图像其灰度级均匀分布在1~6之间

信息熵值均在91%以上。该方法校正了图像亮度的不均匀性

提高了图像质量

同时能保留足够多的原始图像信息。

Abstract

In order to modify the luminance heterogeneity of a highly reflective surface image

restrain the phenomenon of local high luminance and to preserve enough original image information

a preprocessing method for highly reflective surface defect image is investigated and the optical characteristics of a highly reflective surface are analyzed by using Partial Differential Equation(PDE) theory and homomorphic filtering algorithms. A homomorphic filtering algorithm based on the PDE is proposed which uses the heat conduction equation filtering operator to process homomorphic decomposition images. The comentropy is induced to evaluate the processing effect in different dimension parameters

then the dimension parameter of heat conduction homomorphic filtering is determined. The algorithm is contrasted with the background subtraction algorithm and wavelet homostasis filtering algorithm

and the experiment indicates that the image processed by the proposed algorithm has the gray-level values distributed uniformly between 1~6 and a high comentropy value above 91%. This method modifies the image luminance heterogeneity

improves image quality and preserves sufficient original image information.

关键词

Keywords

references

曲兴华,何滢,韩峰,等. 强反射表面随即缺陷检测照明系统分析[J]. 光学学报,2003,23(5):547-551. QU X H, HE Y, HAN F, et al.. Illumination system for detecting random defects on strongly reflective and complex surfaces [J]. Acta Optica Sinica, 2003,23(5):547-551. (in Chinese)[2] FRANZ P, PAUL O L. Image acquisition techniques for automatic visual inspection of metallic surfaces [J]. NDT&E International, 2003,36(8):609-617.[3] YANG C C. Improving the sharpness of an image with non-uniform illumination [J]. Optics & Laser Technology, 2005,37(3):235-238.[4] 曲兴华,宫辉,贾果欣. 数码相机的彩色图像预处理过程[J]. 光学精密工程,2009,17(1):207-212. QU X H, GONG H, JIA G X. Preprocessing of color image based on digital camera [J]. Opt. Precision Eng., 2009,17(1):207-212. (in Chinese)[5] 崔长彩,张耕培,张彬,等. 小波滤波及奇异性分析在表面形貌评定中的应用[J]. 光学精密工程,2009,17(9):2255-2261. CUI CH C, ZHANG G P, ZHANG B, et al.. Application of wavelet filtering and singularity analysis to evaluation of surface roughness [J]. Opt. Precision Eng., 2009,17(9):2256-2261. (in Chinese)[6] 郭贵法,汪仁煌,王欢. 改进的同态滤波在指针式仪表图像预处理中的应用[J]. 广东工业大学学报,2009,26(3):57-59. GUO G F, WANG R H, WANG H. A pretreatment of image based on reformative homomorphic filtering [J]. Journal of Guangdong University of Technology, 2009,26(3):57-59. (in Chinese)[7] 江洁,费金娥,王颖,等. 昆虫翅膀运动变形测量中的图像特征提取[J]. 光学精密工程,2007,15(10):1616-1621. JIANG J, FEI J E, WANG Y, et al.. Image feature extraction in insect kinetic deformation measurement [J]. Opt. Precision Eng., 2007,15(10):1616-1621. (in Chinese)[8] 孙慧贤,罗飞路,张玉华. 工业内窥镜图像对比度增强算法[J]. 光电工程,2008,35(12):107-111. SUN H X, LUO F L, ZHANG Y H. Novel contrast enhancement method for industrial endoscope images [J]. Opto-Electronic Engineering, 2008,35(12):107-111. (in Chinese)[9] CAO W P, CHE R S, YE D. An illumination-independent edge detection and fuzzy enhancement algorithm based on wavelet transform for non-uniform weak illumination images [J]. Pattern Recognition Letters, 2008,29(3):192-199.[10] 张新明,沈兰荪. 基于小波的同态滤波器用于图像对比度增强[J]. 电子学报,2001,29(4):531-533. ZHANG X M, SHEN L S. Image contrast enhancement by wavelet based homomorphic filtering [J]. Acta Electronica Sinica, 2001,29(4):531-533. (in Chinese)[11] UCHE N, PETER L. Homomorphic filtering of colour images using a spatial filter kernel in the HSI colour space . IEEE International Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc., Piscataway, 2008:1738-1743.[12] DAVID T, RACHID D. Vector-Valued image regularization with PDEs: A common framework for different applications [J]. IEEE transactions on pattern analysis and machine intelligence, 2005,27(4):506-517.[13] YI D K, LEE S Y. Fourth-order partial differential equations for image enhancement [J]. Applied Mathematics and Computation, 2006,175:430-440.[14] ZHU L X, XIA D S. Staircase effect alleviation by coupling gradient fidelity term [J]. Image and Vision Computing, 2008,26(8):1163-1170.[15] 张文生.科学计算中的偏微分方程有限差分法[M]. 北京:高等教育出版社,2006:40-58. ZHANG W S. Finite Difference Methods for Partial Differential Equations in Science Computation [M]. Beijing: Higher Education Press, 2006: 40-58. (in Chinese)

浏览量

643

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

显微镜镜头的圆弧表面缺陷检测

彩色眼底图像视盘自动定位与分割

同态滤波法抑制离轴数字全息零级项

基于超熵和模糊集理论的带钢表面缺陷分割

数码相机的彩色图像预处理过程