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Investigation of Image Processing Methods Capable of Supporting Navigational Lookout

机译：支持导航监视的图像处理方法研究

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This paper presents a new image processing method for extracting ships from marine images shot by monitoring cameras during navigation.Marine accidents are mostly caused by collisions between ships,the primary cause of which is improper lookout.Although the enhancement of lookout capability is important for preventing marine accidents,increasing the number of lookout standers is not easy.Therefore,the development of lookout support systems is necessary.The authors have previously proposed several ship extraction methods.Two of these methods and their disadvantages are described below:· To increase the accuracy of extraction,we developed a repetitive matching operation method.However,it required an enormous amount of processing time.· With the objective of increasing the speed of image processing,we employed the Lucas-Kanade Method (LKM).However,the LKM deals with pixel-by-pixel processing of the optical flow,thereby lowering the accuracy with which ships can be extracted.To utilize the advantages of both methods and reduce their shortcomings,this paper proposes a new method.First,the method divides an image into regions on the basis of the range of brightness.From the size of the divided regions,the regions corresponding to parts of the images of a ship are identified.Next,the optical flows are determined pixel-by-pixel using the LKM,and pixels are selected by calculating the inner products of the sequentially neighboring two optical flow vectors.Both the regions and the pixels selected are integrated on the image and the regions containing pixels with straightness are regarded as part of the image of a ship.By processing images shot by monitoring cameras on board,the effectiveness of our proposed method is examined.
机译：本文提出了一种新的图像处理方法，用于从航行中由监控摄像机拍摄的海洋图像中提取船舶。海洋事故主要是由船舶之间的碰撞引起的，其主要原因是监视不当。海上事故，增加look望台的数量并不容易。因此，有必要发展support望支持系统。作者先前已经提出了几种船舶提取方法。以下介绍了其中两种方法及其缺点：·提高准确性为了提取图像，我们开发了一种重复匹配操作方法。但是，它需要大量的处理时间。·为了提高图像处理的速度，我们采用了Lucas-Kanade方法（LKM）。通过对光流进行逐像素处理，从而降低了提取船只的准确性。结合这两种方法的优点并减少它们的缺点，本文提出了一种新的方法。首先，该方法根据亮度范围将图像划分为多个区域。从划分区域的大小来看，对应于部分区域的区域识别船的图像。接下来，使用LKM逐像素确定光流，并通过计算顺序相邻的两个光流矢量的内积来选择像素。对区域和像素进行积分在图像上，包含直线度的像素区域被视为船舶图像的一部分。通过处理由船上监控摄像机拍摄的图像，检验了我们提出的方法的有效性。

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