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1. 发明授权

US5809162A Surface analysis system and method 失效
标题翻译：表面分析系统及方法
公开(公告)号：US5809162A
公开(公告)日：1998-09-15
申请号：US577947
申请日：1995-12-22
申请人： Andrei Csipkes , Muid Ur-Rehman Mufti , John Mark Palmquist
发明人： Andrei Csipkes , Muid Ur-Rehman Mufti , John Mark Palmquist
IPC分类号： G02B6/38 , G06K9/00
CPC分类号： G02B6/3807 , G02B6/3818
摘要： A surface analysis system can contactlessly, automatically, and rapidly detect, classify, and evaluate a surface of an object, particularly, an optical fiber end face, for discontinuities to derive a single pass/fail conclusion regarding the surface. The surface analysis system has a scope for capturing an image of the end face. A computer is connected to the scope. A machine vision system is associated with the computer for receiving the image. A surface analysis program is associated with the computer for driving the machine vision system. The program searches for any discontinuities in the image by analyzing each pixel and a corresponding pixel structure of pixels to determine whether a discontinuity resides at each pixel. Discontinuities are classified as one of the following: binary thresholds, local gradients, and directional gradients. The pixel structure includes a plurality of pixels that were previously analyzed. The program determines whether the surface is continuous based upon any discovered discontinuities.
摘要翻译：表面分析系统可以非接触地，自动地，快速地检测，分类和评估物体的表面，特别是光纤端面，用于不连续性导出关于表面的单一通过/不合格结论。表面分析系统具有捕获端面图像的范围。计算机已连接到作用域。机器视觉系统与用于接收图像的计算机相关联。表面分析程序与用于驱动机器视觉系统的计算机相关联。该程序通过分析每个像素和像素的相应像素结构来搜索图像中的任何不连续性，以确定不连续性是否位于每个像素处。不连续性被归类为以下之一：二进制阈值，局部梯度和定向梯度。像素结构包括先前分析的多个像素。该程序基于任何发现的不连续性来确定表面是否是连续的。

2. 发明授权

US5923781A Segment detection system and method 失效
标题翻译：段检测系统及方法
公开(公告)号：US5923781A
公开(公告)日：1999-07-13
申请号：US577637
申请日：1995-12-22
申请人： Andrei Csipkes , Muid Ur-Rehman Mufti , John Mark Palmquist
发明人： Andrei Csipkes , Muid Ur-Rehman Mufti , John Mark Palmquist
IPC分类号： G06T5/00 , G06K9/80
CPC分类号： G06T7/0083 , G06T7/0046 , G06T7/0089 , G06T2207/10056 , G06T2207/20168 , G06T2207/30164
摘要： A segment detection system automatically, contactlessly, rapidly, and precisely detects a segment along an edge, such as a boundary, of an object in a digitized image. The segment detection system includes an imager for capturing an image of an object and converting the image into an electrical signal. A computer is connected to the camera for receiving the electrical signal. A machine vision system is associated with the computer and is adapted to analyze the image. A segment detection program is disposed in the computer for driving the computer and the machine vision system in accordance with the present invention. The segment detection program includes an initialization subroutine and a matching subroutine. The initialization subroutine configures the program to search for a particular target polynomial equation. The matching subroutine derives a test polynomial equation that represents a test segment from a test edge of the object based upon an analysis of the image. Further, the matching subroutine determines whether the test segment matches the target segment by comparing corresponding coefficients of the test polynomial equation and the target polynomial equation.
摘要翻译：片段检测系统自动地，非接触地，快速地并且精确地检测沿着数字化图像中的物体的边缘（例如边界）的片段。片段检测系统包括用于捕获对象的图像并将图像转换为电信号的成像器。计算机连接到相机以接收电信号。机器视觉系统与计算机相关联并且适于分析图像。根据本发明，在计算机中设置段检测程序，用于驱动计算机和机器视觉系统。段检测程序包括初始化子程序和匹配子例程。初始化子程序配置程序以搜索特定的目标多项式方程。匹配子程序基于对图像的分析，导出表示来自对象的测试边缘的测试段的测试多项式方程。此外，匹配子程序通过比较测试多项式方程和目标多项式方程的对应系数来确定测试段是否与目标段匹配。

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