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Effect of image processing techniques on ship detection and tracking from digital cameras

机译：图像处理技术对数码相机进行船舶探测和跟踪的影响

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With the technological improvements it is possible to obtain more information about the environment around us. For the ship case it is very important for safety navigation. The accurate and clear information about the ship environment is crucial to navigate safely in accordance with the Collision Regulation (COLREGs) rules. The ships main navigational equipment is radar or Automatic Radar Plotting Aid (ARPA). Automatic Identification System (AIS) is a comparatively new equipment to obtain the ship data. Considering the statistical analysis of maritime casualties these equipment are not sufficient for safety navigation. Especially small vessels and fishing boats are out of the scope of these equipments. The authors proposed a stereo vision system for obstacle detection using two identical cameras. In this paper, we consider about the effect of some image processing techniques on efficiency of ship detection and tracking. The original images are in RGB color format. We compared the detection and tracking in red channel, gray scale and histogram equalized gray scale images.
机译：随着技术的进步，可以获得有关我们周围环境的更多信息。对于船舶而言，这对于安全导航非常重要。有关船舶环境的准确，清晰的信息对于根据《碰撞规程》（COLREG）规则进行安全航行至关重要。船舶的主要导航设备是雷达或自动雷达绘图辅助系统（ARPA）。自动识别系统（AIS）是一种用于获取船舶数据的相对较新的设备。考虑到海上人员伤亡的统计分析，这些设备不足以进行安全航行。特别是小型船只和渔船不在这些设备的范围内。作者提出了使用两个相同的摄像机进行障碍物检测的立体视觉系统。在本文中，我们考虑了某些图像处理技术对船舶检测和跟踪效率的影响。原始图像为RGB颜色格式。我们比较了红色通道，灰度和直方图均等灰度图像中的检测和跟踪。

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