Underwater object recognition in photo images

A. Pavin
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引用次数: 16

Abstract

The identification problem of artificial or natural objects in underwater images is considered in this paper. Any object (including a previously received image) with unequivocally determined contours can be used as a pattern. Recognition of the required object is made by an exhaustive search of key points or small pieces of borders with a subsequent increase of accumulator cells. Processing of real sea-bottom images has confirmed the algorithm's efficiency (including dead reckoning, marker recognition and line recognition tasks).
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照片图像中的水下目标识别
本文研究了水下图像中人工或自然物体的识别问题。任何具有明确确定轮廓的物体(包括先前接收到的图像)都可以用作图案。通过对关键点或小块边界进行穷尽搜索,然后增加累加器单元,从而识别所需目标。实际海底图像的处理验证了该算法的有效性(包括航位推算、标记识别和线条识别任务)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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