| 基于主方向迭代校正的铁轨检测算法 |
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| 作者姓名： | 居耀勇 陈 黎 |
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| 作者单位： | 武汉科技大学计算机科学与技术学院 |
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| 基金项目： | 湖北省自然科学基金资助项目(2010CDA090);武汉市科技局晨光计划资助项目(201150431095);武汉市科技攻关计划资助项目(201110821236);武汉科技大学青年科技骨干培育计划资助项目(2010xz016) |
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| 摘 要： | 应用图像处理与识别技术,提出基于主方向迭代校正的铁轨检测算法。该算法基于梯度图像的Hough变换估计出路轨的主方向,设计出边缘检测算子,实现边缘增强、突出铁轨的位置信息。通过算法迭代得到最优边缘检测算子,利用主方向信息与路轨判定准则进行铁轨的定位。结果表明,该算法能准确有效地进行铁轨的检测与定位。
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| 关 键 词： | 铁轨检测 霍夫变换 主方向 边缘检测 |
| 收稿时间： | 2012/2/22 0:00:00 |
An iterative principal orientation adjustment-based algorithm for railway track detection |
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| Authors: | Ju Yaoyong and Chen Li |
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| Institution: | (College of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430065,China) |
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| Abstract: | Making use of image processing and recognition technology, this paper presents an iterative principal orientation adjustment-based algorithm for railway track detection. This algorithm utilizes Hough transform of the gradient images to arrive at the principal orientation of the railway track, and designs the optimal edge detector to achieve edge enhancement and reveal the railway track in the images. The principal orientation of the railway track is corrected when the algorithm iterates several times, and the location of the railway track is determined on the basis of the principal orientation and the rule of railway track features. Experimental results have confirmed the robustness and effectiveness of the proposed algorithm. |
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| Keywords: | railway track detection Hough transform principal orientation edge detection |
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