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One Valid Framework of Integrating Intensity Discontinuity and Edge Continuity for Image Straight-Line Extraction

机译:集成Image直线提取的强度不连续性和边缘连续性的一个有效框架

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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:本文介绍了一种积分强度不连续性和边缘连续性的一个有效框架,用于图像直线提取。首先,通过经典的日志算法和轮廓跟踪原理从数字图像中跟踪多个“边缘轮廓”。在该步骤中,在不实现传统的“边缘标签”过程的情况下检测到零交叉点,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以分别从“边缘轮廓”中提取初始直线段。在该步骤中,从Hough转换推导出了重要知识,例如“种子”点和直线段的方向;最后,通过估计初始直线段图像贴片之间的强度分布及其理想强度模板之间的强度分布的相似性,用最小二乘模板匹配(LSTM)技术来验证和改进初始直线。从空中视频图像中提取直线段的实验表明,所提出的方法是坚固且有效的。还结束了贡献。

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