Abstract
In the port transportation, the transportation vehicle is extremely easy to cause a bad condition in the transportation process due to the influence of foreign matter, and the current foreign matter detection is still carried out by manual methods. Based on this, this study is based on the automatic image recognition technology, using the binocular imaging system for video collection and analyzing the video images for foreign object recognition. We use extreme median filtering to perform image noise processing and improve the traditional Canny edge detection algorithm to obtain an improved edge detection method for Canny operator. The algorithm is used to perform image edge detection, and the image gray histogram is used to enhance the foreign object image processing. Combined with the experimental analysis, the detection method of this study has certain effects, which can be used for foreign object identification in port transportation channels and can provide theoretical reference for subsequent related research.
Highlights
At present, domestic ports still rely on backward manual methods for the detection of foreign bodies in the transport corridor
The method improves the accuracy of image edge detection and can achieve good image edge detection effect
3 Results In order to evaluate the performance of the detection algorithm in this paper, this paper conducts experiments on the outdoor actual track surface to simulate the port transportation orbit
Summary
Domestic ports still rely on backward manual methods for the detection of foreign bodies in the transport corridor. The staff driving the road car through the human eye for close-range search, this method is inefficient, poor reliability, and on the other hand, the precious passage time is delayed, and the number of transportations is reduced. With the continuous development of technology, computer network technology and image processing technology have gradually matured, promoting the development and innovation of video detection technology. By combining the foreign object detection of the transportation channel with the video surveillance technology, a port-channel foreign object detection and recognition system based on the vehicle camera is studied, which is a simple and effective technical method. The patrol car is used as a carrier to automatically locate foreign objects on the transport path during the inspection of the road car [1].
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