Assembly Defect Detecting System Based on CT Technology
摘 要
提出了基于工业CT技术的装配缺陷自动检测系统的设计方法。系统采用C/S模式,以C++Builder作为前端开发工具,以SQL Server2000作为后台数据库管理系统,可实现工件内部的漏装和误装等装配缺陷无损检测。利用重建图像的灰度级数快速定位出粗略缺陷区域,再以圆投影值、方向码值、Zernike矩值作为特征参数对缺陷精确识别。系统已在重庆大学ICT中心投入使用,识别速度和精度均达到用户要求,运行效果良好。
Abstract
A design method of automatic assembly defect detecting system based on industrial computer tomography technology was referred. For the realization of non-destructive detecting of assembly defects such as leak installing and wrongly installing in work piece internal structure, this system adopted C/S model, using C++ Builder as front-end development tool and using SQL Server 2000 as background database management system. First defect region was located fast and coarsely using gray levels of the reconstructed image. Then it was recognized accurately by using circle projection value, direction code value and Zernike moment value as character parameters. The system was put into use in ICT center of ChongQing University. Its recognition speed and precision satisfied users demands, and its working effects were favorable.
中图分类号 TG115.28 TP391.41
所属栏目 仪器研制
基金项目 重庆市科委自然科学基金计划资助项目(CSTC2009BB2232)
收稿日期 2010/7/16
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备注王培容(1973-),女,副教授,从事无损检测原理及算法的研究。
引用该论文: WANG Pei-Rong,ZHANG Hong-Min. Assembly Defect Detecting System Based on CT Technology[J]. Nondestructive Testing, 2011, 33(6): 63~65
王培容,张红民. 基于CT技术的装配缺陷检测系统[J]. 无损检测, 2011, 33(6): 63~65
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参考文献
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【2】Lee Sang Woo, Kim Whoi Yul. Rotation-invariant template matching using projection method[J]. Proc KITE,1996,19(1):475-476.
【3】王培容,陈鸿雁,李姣军.一种快速的具有旋转不变性的模板匹配方法[J].计算机工程与设计,2006,27(14):2667-2668.
【4】王培容,李姣军,陈鸿雁.基于方向码的模板匹配方法[J].计算机工程与设计,2007,28(14):3407-3409.
【5】Secilla J P, Garcia N. Template location in noisy pictures[J]. Signal Process,1987(14):347-361.
【6】Lewis J P. Fast normalized cross correlation[J]. Artif Intell,2003(9):655-669.
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