Rectangle Positioning Algorithm Simulation Based on Edge Detection and Hough Transform

Author:

Xie Ping,Zhou Jiang

Abstract

This paper proposes a new algorithm to extract the rectangle in images. It’s goal is to meet the requirement of the truck’s compartment positioning and assure that some works are done inside the truck’s compartment. Firstly, the Canny operator is used to calculate the edge of the image, because it is sensitive to the image texture features. Secondly, the Canny edge is transformed with the Hough transform algorithm. The peak points in the Hough parameter space indicate the straight lines which may be the elements of the compartment. The sides of the rectangle are the straight lines which meet the conditions of the actual size of the compartment. Finally, the four vertices of the rectangle are solved in accordance with the geometric constraint of rectangle. The simulation experiment shows that the algorithm is effective.

Publisher

Bentham Science Publishers Ltd.

Subject

Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Truck Compartment detection algorithm based on 3D point cloud for automated loading;2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2023-12-08

2. Research on Positioning and dimension measurement of truck compartment based on Semantic segmentation in automatic loading system;2023 6th International Conference on Signal Processing and Machine Learning (SPML);2023-07-14

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