首页> 外文会议>Conference on Image Processing: Machine Vision Applications; 20080129-31; San Jose,CA(US) >Research of Online Automatism Identification Algorithm Based on Image Character Sequence Look-Up Table
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Research of Online Automatism Identification Algorithm Based on Image Character Sequence Look-Up Table

机译:基于图像字符序列查询表的在线自动识别算法研究

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This paper proposes an effective approach for online inspecting and recognizing the assembly structure inside three-dimensional objects using multiple views technique and X-ray digital radiography system. During the offline study process, the paper obtains a gray image sequence of a standard sample in multiple circumferential orientations. Utilizing the idea of classifying identification, the paper locates and extracts different characters of different parts in each image of the sequence and establishes corresponding character sequence libraries. In online detection stage, the program finds the optimum solutions to all different target parts in the library with bisearch method and carries out exactness image matching with correlation coefficient weighted of multi-character via Bayes decision. Aiming at the issue of some objects may be occluded by others in a scene, the paper puts forward to rotate the product some certain angles and rematch. Furthermore, the paper analyzes the relationships of misjudgment ratio with product assembling tolerance, the size of target part and identifying velocity. Based on this approach, the first domestic X-ray automatism detection system has been developed and it is successfully applied in online detecting some axis symmetric products which assembly structures inside are complex.
机译:本文提出了一种有效的方法,可以使用多视图技术和X射线数字射线照相系统对三维物体内部的装配结构进行在线检查和识别。在离线研究过程中,论文获得了多个圆周方向的标准样品的灰度图像序列。利用分类识别的思想,在序列的每个图像中定位提取不同部分的不同字符,并建立相应的字符序列库。在在线检测阶段,该程序使用双向搜索方法找到库中所有不同目标部分的最佳解决方案,并通过贝叶斯决策对具有多个字符的相关系数加权的精确度图像进行匹配。针对某些物体在场景中可能被其他物体遮挡的问题,本文提出将产品旋转一定角度并重新匹配。此外,分析了误判率与产品装配公差,目标零件尺寸和识别速度之间的关系。在此基础上,开发了国内首套X射线自动检测系统,并成功应用于在线检测内部组装结构复杂的轴对称产品。

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