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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >A man-made object detection for underwater TV
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A man-made object detection for underwater TV

机译：水下电视的人造物体检测

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It is a great challenging task to complete an automatic search of objects underwater. Usually the forward looking sonar is used to find the target, and then the initial identification of the target is completed by the side-scan sonar, and finally the confirmation of the target is accomplished by underwater TV. This paper presents an efficient method for automatic extraction of man-made sensitive targets in underwater TV. Firstly, the image of underwater TV is simplified with taking full advantage of the prior knowledge of the target and the background; then template matching technology is used for target detection; finally the target is confirmed by extracting parallel lines on the target contour. The algorithm is formulated for real-time execution on limited-memory commercial-of-the-shelf platforms and is capable of detection objects in underwater TV.
机译：完成水下物体的自动搜索是一项艰巨的任务。通常，使用前视声纳找到目标，然后通过侧扫声纳完成对目标的初始识别，最后通过水下电视完成对目标的确认。本文提出了一种自动提取水下电视中的人造敏感目标的有效方法。首先，充分利用目标和背景的先验知识，简化了水下电视的图像。然后使用模板匹配技术进行目标检测。最后，通过在目标轮廓上提取平行线来确定目标。该算法旨在在有限内存的现成商用平台上实时执行，并能够检测水下电视中的物体。

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