论文标题
应用计算机视觉方法的顺序处理来解决检测蜂窝块边缘的问题
Application of sequential processing of computer vision methods for solving the problem of detecting the edges of a honeycomb block
论文作者
论文摘要
本文介绍了霍夫转换到蜂窝块图像的应用。描述了从蜂窝块切割霉菌的问题。许多图像转换被认为提高了Hough算法的效率。一种用于使用简单阈值获得二进制图像的方法，一种使用OTSU二进化获得二进制图像的方法，以及Canny Edge检测算法。考虑了二元骨骼（骨骼化）的方法，其中使用2个主要形态作战获得了骨骼：扩张和侵蚀。由于许多实验，揭示了处理原始图像的最佳序列，从而获得了最大面部数量的坐标。该结果使人们可以选择切割蜂窝块的最佳位置，这将提高所得形状的质量。
The article describes the application of the Hough transform to a honeycomb block image. The problem of cutting a mold from a honeycomb block is described. A number of image transformations are considered to increase the efficiency of the Hough algorithm. A method for obtaining a binary image using a simple threshold, a method for obtaining a binary image using Otsu binarization, and the Canny Edge Detection algorithm are considered. The method of binary skeleton (skeletonization) is considered, in which the skeleton is obtained using 2 main morphological operations: Dilation and Erosion. As a result of a number of experiments, the optimal sequence of processing the original image was revealed, which allows obtaining the coordinates of the maximum number of faces. This result allows one to choose the optimal places for cutting a honeycomb block, which will improve the quality of the resulting shapes.
