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SYSTEM AND METHOD FOR FINDING LINES IN AN IMAGE WITH A VISION SYSTEM

机译:用视觉系统在图像中寻找线的系统和方法

摘要

The present invention relates to a method and system for finding multiline features in an image. Two related steps are used to identify line features. The first process calculates the x and y components of the gradient field at each image location, projects the gradient field over multiple sub-regions, and calculates multiple edge points with locations and slopes. It detects a plurality of gradient extrema. The second process selects two edge points, fits a model line to them, and if the edge point slope is consistent with the model, then the entire set of inner left-floor points whose position and slope match that model ( of the full set of inlier points). The candidate line with the maximum left-most count is maintained and a set is derived leaving outlier points. The process repeatedly applies the line fitting operation and a subsequent set of outer left layers to find a plurality of line results. This process can be done on a thorough RANSAC basis.
机译:本发明涉及一种用于在图像中寻找多线特征的方法和系统。使用两个相关步骤来识别线要素。第一个过程计算每个图像位置处梯度场的x和y分量,将梯度场投影到多个子区域上,并计算具有位置和斜率的多个边缘点。它检测多个梯度极值。第二个过程选择两个边缘点,使它们适合模型线,如果边缘点的斜率与模型一致,则其位置和斜率与该模型匹配的整个内部左地板点(内部点)。保留具有最大最左端计数的候选行,并得出一个集合,并留下离群点。该过程重复地应用线拟合操作和随后的一组左外部层,以找到多个线结果。此过程可以在彻底的RANSAC基础上完成。

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