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首页> 外文会议>13th IMEKO TC1-TC7 joint symposium 2010 >Field programmable gate array based hardware implementation of a gradient filter for edge detection in colour images with subpixel precision
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Field programmable gate array based hardware implementation of a gradient filter for edge detection in colour images with subpixel precision

机译：基于现场可编程门阵列的梯度滤波器的硬件实现，用于以亚像素精度对彩色图像进行边缘检测

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摘要

Within the field of industrial image processing the use of colour cameras becomes ever more common. Increasingly the established black and white cameras are replaced by economical single-chip colour cameras with Bayer pattern. The use of the additional colour information is particularly important for recognition or inspection. Become interesting however also for the geometric metrology, if measuring tasks can be solved more robust or more exactly. However only few suitable algorithms are available, in order to detect edges with the necessary precision. All attempts require however additional computation expenditure. On the basis of a new filter for edge detection in colour images with subpixel precision, the implementation on a pre-processing hardware platform is presented. Hardware implemented filters offer the advantage that they can be used easily with existing measuring software, since after the filtering a single channel image is present, which unites the information of all colour channels. Advanced field programmable gate arrays represent an ideal platform for the parallel processing of multiple channels. The effective implementation presupposes however a high programming expenditure. On the example of the colour filter implementation, arising problems are analyzed and the chosen solution method is presented.
机译：在工业图像处理领域，彩色相机的使用变得越来越普遍。越来越多的黑白摄像机被具有拜耳模式的经济型单芯片彩色摄像机所取代。附加颜色信息的使用对于识别或检查特别重要。如果测量任务可以更可靠或更精确地解决，则对于几何计量也将变得有趣。然而，只有少数合适的算法可用，以便以必要的精度检测边缘。但是，所有尝试都需要额外的计算费用。基于一种新的用于亚像素精度彩色图像边缘检测的滤波器，提出了在预处理硬件平台上的实现。硬件实现的滤镜的优点是可以轻松地与现有的测量软件一起使用，因为在滤镜之后会出现一个通道图像，该图像将所有颜色通道的信息结合在一起。高级现场可编程门阵列代表了多通道并行处理的理想平台。然而，有效的实施以高的编程费用为前提。在彩色滤光片实现的示例中，分析了出现的问题并提出了选择的解决方法。

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  • 来源
  • 会议地点 London(GB);London(GB)
  • 作者

    M Schellhorn; M Rosenberger; M Correns; M Blau; A Goepfert; M Rueckwardt; G Linss;

  • 作者单位

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty Mechanical Engineering, Department of Quality Assurance, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
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