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首页> 外文会议>AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing >Multi-exposure high dynamic range image synthesis with camera shake correction
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Multi-exposure high dynamic range image synthesis with camera shake correction

机译：具有相机抖动校正功能的多曝光高动态范围图像合成

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摘要

Machine vision plays an important part in industrial online inspection. Owing to the nonuniform illuminance conditions and variable working distances, the captured image tends to be over-exposed or under-exposed. As a result, when processing the image such as crack inspection, the algorithm complexity and computing time increase. Multi-exposure high dynamic range (HDR) image synthesis is used to improve the quality of the captured image, whose dynamic range is limited. Inevitably, camera shake will result in ghost effect, which blurs the synthesis image to some extent. However, existed exposure fusion algorithms assume that the input images are either perfectly aligned or captured in the same scene. These assumptions limit the application. At present, widely used registration based on Scale Invariant Feature Transform (SIFT) is usually time consuming. In order to rapidly obtain a high quality HDR image without ghost effect, we come up with an efficient Low Dynamic Range (LDR) images capturing approach and propose a registration method based on ORiented Brief (ORB) and histogram equalization which can eliminate the illumination differences between the LDR images. The fusion is performed after alignment. The experiment results demonstrate that the proposed method is robust to illumination changes and local geometric distortion. Comparing with other exposure fusion methods, our method is more efficient and can produce HDR images without ghost effect by registering and fusing four multi-exposure images.
机译：机器视觉在工业在线检查中起着重要的作用。由于不均匀的照度条件和可变的工作距离，所捕获的图像倾向于过度曝光或曝光不足。结果，当处理诸如裂缝检查的图像时，算法复杂度和计算时间增加。多曝光高动态范围（HDR）图像合成用于改善动态范围有限的捕获图像的质量。不可避免地，相机抖动会导致重影效果，从而在一定程度上模糊合成图像。但是，现有的曝光融合算法假定输入图像是完全对齐或在同一场景中捕获的。这些假设限制了应用程序。目前，基于尺度不变特征变换（SIFT）的广泛使用的配准通常很耗时。为了快速获得没有鬼影效果的高质量HDR图像，我们提出了一种有效的低动态范围（LDR）图像捕获方法，并提出了一种基于定向摘要（ORB）和直方图均衡的配准方法，该方法可以消除照明差异LDR图像之间。对齐后进行融合。实验结果表明，该方法对光照变化和局部几何畸变具有鲁棒性。与其他曝光融合方法相比，我们的方法效率更高，并且可以通过套准和融合四个多重曝光图像来生成没有重影效果的HDR图像。

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  • 来源
  • 会议地点 Beijing(CN)
  • 作者

    Xudong Li; Yongfu Chen; Hongzhi Jiang; Huijie Zhao;

  • 作者单位

    School of Instrumentation Science and Opto-electronics Engineering, Beihang University 37#, Xueyuan Road, Beijing, 100191, China Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education;

    School of Instrumentation Science and Opto-electronics Engineering, Beihang University 37#, Xueyuan Road, Beijing, 100191, China Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education;

    School of Instrumentation Science and Opto-electronics Engineering, Beihang University 37#, Xueyuan Road, Beijing, 100191, China Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education;

    School of Instrumentation Science and Opto-electronics Engineering, Beihang University 37#, Xueyuan Road, Beijing, 100191, China Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    High Dynamic Range Image Synthesis; ORiented Brief; Image Registration;

    机译：高动态范围图像合成；定向简报；图像配准;

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