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Adaptive target binarization method based on a dual-camera system

机译：基于双摄像头系统的自适应目标二值化方法

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摘要

An adaptive target binarization method based on a dual-camera system that contains two dynamic vision sensors was proposed. First, a preprocessing procedure of denoising is introduced to remove the noise events generated by the sensors. Then, the complete edge of the target is retrieved and represented by events based on an event mosaicking method. Third, the region of the target is confirmed by an event-to-event method. Finally, a postprocessing procedure of image open and close operations of morphology methods is adopted to remove the artifacts caused by event-to-event mismatching. The proposed binarization method has been extensively tested on numerous degraded images with nonuniform illumination, low contrast, noise, or light spots and successfully compared with other well-known binarization methods. The experimental results, which are based on visual and misclassification error criteria, show that the proposed method performs well and has better robustness on the binarization Of degraded images.
机译：提出了一种基于包含两个动态视觉传感器的双摄像头系统的自适应目标二值化方法。首先，引入了去噪的预处理程序，以消除传感器产生的噪声事件。然后，基于事件镶嵌方法检索目标的完整边缘并由事件表示。第三，通过事件间方法确认目标区域。最后，采用形态学方法的图像打开和关闭操作的后处理程序，以消除由事件间不匹配引起的伪像。所提出的二值化方法已经在具有不均匀照明，低对比度，噪声或光斑的大量降级图像上进行了广泛的测试，并成功地与其他众所周知的二值化方法进行了比较。基于视觉和误分类错误准则的实验结果表明，该方法在退化图像的二值化方面表现良好，并且具有更好的鲁棒性。

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  • 来源
    《Optical engineering》 |2018年第1期|013105.1-013105.15|共15页
  • 作者

    Jing Lei; Ping Zhang; Jiangtao Xu; Zhiyuan Gao; Jing Gao;

  • 作者单位

    Tianjin University, School of Electrical and Information Engineering, Tianjin, China;

    Tianjin University, School of Electrical and Information Engineering, Tianjin, China;

    Tianjin University, School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin, China;

    Tianjin University, School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin, China;

    Tianjin University, School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    binarization; adaptive threshold; dual camera; dynamic vision sensor; degraded image;

    机译：二值化自适应阈值双镜头动态视觉传感器图像质量下降;

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