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摘要

假设有一张由六边形组成的物体的图像(例如,一张微通道板的照片)。本文研究了在物体的照片上建立六边形网格的算法。该算法的主要原理是检测目标的轮廓。然后借助特殊的几何构造确定六边形网格各节点的坐标。该算法包括物体边缘的检测、二维曲线上的角点检测、确定节点坐标的几何构造等几个阶段。同时,这种情况下普遍存在的边缘检测问题具有一定的特殊性。在此基础上,提出了一种特殊的轮廓选择算法。该算法还在高噪声和光照不均匀的条件下进行了测试。
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Method of Building a Hexagonal Grid
Let there is an image with some object made up of hexagons (for example, a photo of a microchannel plate). In this paper, the algorithm that builds a hexagonal grid on a photo of an object is considered. The main principle of the algorithm is detection the contour of the object. Then with the help of special geometric construction determine the coordinates of each nodal point of the hexagonal grid. The developed algorithm consists of several stages: the detection of the object edge, the corners detection on a two-dimensional curve, geometric constructions for determining the nodal points coordinates. At the same time, the widespread problem of edge detection in this case has a certain specificity. As a result of which a special algorithm for contour selection for this particular task was developed. The algorithm was also tested in conditions of high noise and uneven illumination of the object.
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