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首页> 外文期刊>Journal of Computers >A Quick Detection Method of Corner Point of Hazardous Chemicals Stacking Based on Angle Coefficient
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A Quick Detection Method of Corner Point of Hazardous Chemicals Stacking Based on Angle Coefficient

机译：基于角度系数的危险化学品堆叠角点快速检测方法

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摘要

The storage of hazardous chemicals is closely related to the safety and well-being of the people and the city. Currently, the evenly lay the warehouse in a stacking way is widely used. Hence, the safety conditions especially the “5-distances” have become a key factor during safety monitoring. In this paper, safe storage distance detection based on binocular vision is studied, and a contour-based rapid corner detection method for stacking hazardous chemicals is proposed. This method uses a pre-processed image. First, an edge-thinning algorithm is used to reduce noise. The image then undergoes a hierarchical search and a two stage edge classification, the corners are determined based on the combination of the threshold and the angular coefficient. Experiments have shown that the accuracy of corner detection by this algorithm is 73%, and the time for single image processing is less than 250ms.
机译：危险化学品的储存与人民和城市的安全和福祉密切相关。目前，均广泛地将仓库置于堆叠方式。因此，尤其是“5距离”的安全条件已成为安全监测期间的关键因素。本文研究了基于双目视觉的安全存储距离检测，并提出了一种基于轮廓的堆积危险化学品的快速角度检测方法。该方法使用预处理图像。首先，使用边缘减薄算法来减少噪声。然后，图像经历分层搜索和两个阶段边缘分类，基于阈值和角度系数的组合来确定角落。实验表明，该算法的角落检测的准确性为73％，单个图像处理的时间小于250ms。

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