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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Boundary location from range data using Hough transform
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Boundary location from range data using Hough transform

机译:使用霍夫变换的距离数据的边界位置

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摘要

Sonar offers a convenient and economic means of obtaining range data. However, noise in such range data can seriously affect the detection of nearby boundaries, using the conventional circular back projection method. In this paper, we present a new formulation of the problem whereby the boundary to be detected is identified with the envelop curve of the ellipses defined by the range data. Hough transform is then applied to extract the local tangents to the boundary. The method was tested on both simulated and real data from polygonal boundaries with very promising results. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 12]
机译:声纳提供了一种获取距离数据的便捷且经济的方法。但是,使用常规的圆形反投影方法,此类距离数据中的噪声会严重影响附近边界的检测。在本文中,我们提出了问题的一种新表述,即通过范围数据定义的椭圆的包络线来标识要检测的边界。然后应用霍夫变换来提取与边界的局部切线。该方法已在来自多边形边界的模拟和真实数据上进行了测试,并获得了非常可喜的结果。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:12]

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