基于弹体外表面疵病检测系统的图像处理技术
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摘要
弹体外表面疵病检测系统属智能检测技术的应用研究，是应用计算机图像处理技术，实现高精度、高效率的自动无损检测。该专用系统可对弹体外表面的光滑程度进行检测，对其表面由于生产工艺等原因造成的各种划痕进行检测与分析，是确定炮弹使用安全性的重要手段。
本文介绍了这个智能检测系统中整体结构，工作原理及其软件的设计思想。详细阐述了本系统中应用到的图像处理技术工作原理及实现过程，在论述了工件疵病检测中传统使用的图像预处理方法的同时，提出了基于小波变换边缘检测预处理技术。通过对这两种方法的定性对比，得出小波变换边缘检测算法检出的图像具有边缘清晰、细腻，抗噪性能强等特点。此外，通过对预处理后的疵病图像采用跟踪提取，线条拟合等处理方法，可实现对疵病的位置、长度等物理特征的定量分析。
Shell body exterior surface flaw detection system belongs to the application research of intelligent detection technology. It is a kind of auto lossless detecting which applied computer image processing technique to realize high precision and high efficiency. This special system can carry out detection as springing the smooth level of body exterior surface, carries out detection and analysis for the various cuts that surface causes because of the reasons such as production technology, is to determine shell to use the important means of safety.
The paper has introduced the overall structure,.principle and design idea for software of this whole intelligent measurement system. While having discussed the image pretreatment method of traditional use in workpiece flaw detection , have put forward based on wavelet transform edge detection pretreatment technology. By qualitative contrast between this two methods, explain wavelet transform edge detection algorithm detects the image that have edge distinct, fine, fight to chirp performance strong etc. besides, through trailing and distill for the flaw image after pretreatment, line draft join etc. processing method, can realize the quantitative analysis for the physical features such as length and the location of flaw.
本文介绍了这个智能检测系统中整体结构，工作原理及其软件的设计思想。详细阐述了本系统中应用到的图像处理技术工作原理及实现过程，在论述了工件疵病检测中传统使用的图像预处理方法的同时，提出了基于小波变换边缘检测预处理技术。通过对这两种方法的定性对比，得出小波变换边缘检测算法检出的图像具有边缘清晰、细腻，抗噪性能强等特点。此外，通过对预处理后的疵病图像采用跟踪提取，线条拟合等处理方法，可实现对疵病的位置、长度等物理特征的定量分析。
Shell body exterior surface flaw detection system belongs to the application research of intelligent detection technology. It is a kind of auto lossless detecting which applied computer image processing technique to realize high precision and high efficiency. This special system can carry out detection as springing the smooth level of body exterior surface, carries out detection and analysis for the various cuts that surface causes because of the reasons such as production technology, is to determine shell to use the important means of safety.
The paper has introduced the overall structure,.principle and design idea for software of this whole intelligent measurement system. While having discussed the image pretreatment method of traditional use in workpiece flaw detection , have put forward based on wavelet transform edge detection pretreatment technology. By qualitative contrast between this two methods, explain wavelet transform edge detection algorithm detects the image that have edge distinct, fine, fight to chirp performance strong etc. besides, through trailing and distill for the flaw image after pretreatment, line draft join etc. processing method, can realize the quantitative analysis for the physical features such as length and the location of flaw.
引文
1．黄明举等．计算机在产品无损检测中的应用．计算机学报 Vol．20，No6．1999
2．仲颖，韩焱，王明泉．基于小波变换的射线图像疵病特征提取方法．
3．张文阁，任作新．CCD线材直径在线检测系统 基础自动化 1998年第3期．
4．数字图像处理导论．西安：西北工业大学出版社 1999．
5．崔锦泰．小波分析导论[M]．西安：西安交通大学出版社，1995
6. Mallat s. Multiresolution approximations and waveleto rthonormal bases of L~2(R). Trans Amer Math Soc. 1989. 315:67～87
7．王玉平 蔡元龙 耿中行．基于小波变换的滤波方法．
8．刘贵忠，邸双亮．小波分析及其应用[M]．西安：西安电子科技大学出版社，1992．
9．梁燕，刘文耀等．胶片缺陷在线检测方法的研究 光电子·激光第13卷12期
10. Farge M. Wavelet transforms and their applications turbulbnce. Annu Rev Fluid Moch。1992. 24:395～457
11. Koch Mark W. kashyap Rangasmi L. using polygons to recognize and locate partially occluded Object. IEEE Trans on PAMI, 1987, PAMI-9(4):483～494
12. KENNETH R.Castle man. Digital Image Processing[M].北京:清华大学出版社。1998
13．张雄伟，甘仲民．基于小波变换的多尺度图像边缘处理 甘斌．数字电视与数字视频
14．朗锐，数字图像处理学VC++实现，北京希望电子出版社
15．何斌，马天予等，VC++数字图像处理(第二版)，人民邮电出版社
16 吕凤军．数字图像处理编程入门．
17．[美]付京逊．R．L．冈萨雷斯 C．S．C．李．机器人学．北京：中国电子科学技术出版社 1989
18．余松煜，周源华，吴时光，数字图像处理 电子工业出版社．
19．杨兴根，陈宇杰．固体火箭发动机专用ICT机械扫描系统[T]．推进技术，1999．20(6)
20. Kenneth. R Castheman, Digital Image Processing Prentice-Hall. Inc
21. Zhang Y Q, Schail Z. Motion-compensated wavelet transform coding for color video compression. IEEE Trans CAS for Video Techtogy, 1992, CASVT-2(3)
22. Mallat.S. and S. zhong, Characterization of Signals from Multiscale Edges, IEEE Trans.PAMI,14(7):710～732,1992
23. Mallat S.A theory for miltiresolution signal decomposition: The wavelet representation. IEEE Trans PAMI, 1989, PAMI-11(7)
24. Fogel. Sagi D. Gobor filter as texture disarminator. BiolCyb, 1989,61:103～113
25．曾刚等．拐点特征的提取和物体破损图像的识别．中国图像图形学报，Vol．3，No．3，Mar．1998：217～220
26. R.M. Haralick. Digital step from zero crossing of second Directional derivatives. IEEE trans on Pattern Anal Machine Intell, 1984, PAMI-6:58～68
27. Jacob Shcinvald. Nahum kiryati ,On the magic of SLIDE Department of Elecnical Engineering. Technian. Israel Institute of Technology. Haifa 32000 .Israel
28. Farge M. Wavelet transforms and their applications turbulence. Annu Rev Fluid Moch。1992.24:395～457
29．李月景．数字识别技术及其应用．北京机械工业出版社
30．北京：清华大学出版社 1999．12M．Atiquzzaman,Coarse-to-Fine Search Technique to Detect Circles in Images, Department of Electrical and Computer Engineering.
31. Son Gouyu et al. Microcomputer processing the photograph of timber with hole knots. Journal of Northeast Forestry University
32. Przemyslaw Rokita. Fast tracking using edge histograms. SPIE Vol. 3028 1997:91～97
33．章毓晋．图像分割 北京：科学出版社 2001．2
34．王建军等．一种基于相对熵的图像分割算法信息与控制学报，26．1，1997，2
35. Information and Control Rosenfeld A. trursron M. Edge and curve detection for visual science analysis. IEEE Trans on Comput. 1971.20:652～596
2．仲颖，韩焱，王明泉．基于小波变换的射线图像疵病特征提取方法．
3．张文阁，任作新．CCD线材直径在线检测系统 基础自动化 1998年第3期．
4．数字图像处理导论．西安：西北工业大学出版社 1999．
5．崔锦泰．小波分析导论[M]．西安：西安交通大学出版社，1995
6. Mallat s. Multiresolution approximations and waveleto rthonormal bases of L~2(R). Trans Amer Math Soc. 1989. 315:67～87
7．王玉平 蔡元龙 耿中行．基于小波变换的滤波方法．
8．刘贵忠，邸双亮．小波分析及其应用[M]．西安：西安电子科技大学出版社，1992．
9．梁燕，刘文耀等．胶片缺陷在线检测方法的研究 光电子·激光第13卷12期
10. Farge M. Wavelet transforms and their applications turbulbnce. Annu Rev Fluid Moch。1992. 24:395～457
11. Koch Mark W. kashyap Rangasmi L. using polygons to recognize and locate partially occluded Object. IEEE Trans on PAMI, 1987, PAMI-9(4):483～494
12. KENNETH R.Castle man. Digital Image Processing[M].北京:清华大学出版社。1998
13．张雄伟，甘仲民．基于小波变换的多尺度图像边缘处理 甘斌．数字电视与数字视频
14．朗锐，数字图像处理学VC++实现，北京希望电子出版社
15．何斌，马天予等，VC++数字图像处理(第二版)，人民邮电出版社
16 吕凤军．数字图像处理编程入门．
17．[美]付京逊．R．L．冈萨雷斯 C．S．C．李．机器人学．北京：中国电子科学技术出版社 1989
18．余松煜，周源华，吴时光，数字图像处理 电子工业出版社．
19．杨兴根，陈宇杰．固体火箭发动机专用ICT机械扫描系统[T]．推进技术，1999．20(6)
20. Kenneth. R Castheman, Digital Image Processing Prentice-Hall. Inc
21. Zhang Y Q, Schail Z. Motion-compensated wavelet transform coding for color video compression. IEEE Trans CAS for Video Techtogy, 1992, CASVT-2(3)
22. Mallat.S. and S. zhong, Characterization of Signals from Multiscale Edges, IEEE Trans.PAMI,14(7):710～732,1992
23. Mallat S.A theory for miltiresolution signal decomposition: The wavelet representation. IEEE Trans PAMI, 1989, PAMI-11(7)
24. Fogel. Sagi D. Gobor filter as texture disarminator. BiolCyb, 1989,61:103～113
25．曾刚等．拐点特征的提取和物体破损图像的识别．中国图像图形学报，Vol．3，No．3，Mar．1998：217～220
26. R.M. Haralick. Digital step from zero crossing of second Directional derivatives. IEEE trans on Pattern Anal Machine Intell, 1984, PAMI-6:58～68
27. Jacob Shcinvald. Nahum kiryati ,On the magic of SLIDE Department of Elecnical Engineering. Technian. Israel Institute of Technology. Haifa 32000 .Israel
28. Farge M. Wavelet transforms and their applications turbulence. Annu Rev Fluid Moch。1992.24:395～457
29．李月景．数字识别技术及其应用．北京机械工业出版社
30．北京：清华大学出版社 1999．12M．Atiquzzaman,Coarse-to-Fine Search Technique to Detect Circles in Images, Department of Electrical and Computer Engineering.
31. Son Gouyu et al. Microcomputer processing the photograph of timber with hole knots. Journal of Northeast Forestry University
32. Przemyslaw Rokita. Fast tracking using edge histograms. SPIE Vol. 3028 1997:91～97
33．章毓晋．图像分割 北京：科学出版社 2001．2
34．王建军等．一种基于相对熵的图像分割算法信息与控制学报，26．1，1997，2
35. Information and Control Rosenfeld A. trursron M. Edge and curve detection for visual science analysis. IEEE Trans on Comput. 1971.20:652～596