首页> 外文会议>Information Science and Engineering (ICISE), 2009 >One Valid Framework of Integrating Intensity Discontinuity and Edge Continuity for Image Straight-Line Extraction
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One Valid Framework of Integrating Intensity Discontinuity and Edge Continuity for Image Straight-Line Extraction

机译:一种集成强度不连续性和边缘连续性的有效框架,用于图像直线提取

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This paper describes one valid framework of integrating intensity discontinuity and edge continuity for image Straight-line Extraction. First, multiple "edge contours" are traced out from digital image by means of classic LOG algorithm and contour tracing principle. In this step, Zero-Cross points are detected without implementing traditional "edge labeling" procedure and thus, contour tracing procedure can take advantage of adjacency continuity retained between edge points; After that, Hough-based heuristic linking algorithm is developed to extract initial straight-line segments from "edge contour" respectively. In this step, important knowledge, e.g., "seed" point and direction of straight-line segments, is deduced from Hough transformation; Finally, initial straight lines are testified and improved with Least Squares Template Matching (LSTM) technique by estimating the similarity of intensity distribution between image patch of initial straight-line segment and its ideal intensity template. The experiment of extracting straight-line segments from aerial video image demonstrates that the proposed approach is robust and effective. Contributions are also concluded.
机译:本文描述了一种有效的框架,该框架整合了强度不连续性和边缘连续性以进行图像直线提取。首先,借助经典的LOG算法和轮廓跟踪原理,从数字图像中找出了多个“边缘轮廓”。在此步骤中,无需执行传统的“边缘标记”过程即可检测零交叉点,因此,轮廓跟踪过程可以利用保留在边缘点之间的邻接连续性;之后,开发了基于霍夫的启发式链接算法,分别从“边缘轮廓”中提取初始直线段。在这一步中,从霍夫变换中推导出重要知识,例如直线段的“种子”点和方向。最后,通过估计初始直线段的图像斑块与其理想强度模板之间的强度分布相似性,使用最小二乘模板匹配(LSTM)技术对初始直线进行验证和改进。从航空视频图像中提取直线段的实验表明,该方法是鲁棒且有效的。贡献也得出结论。

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