Method for detecting edge of belt conveyor in complex environment

Abstract

The invention discloses a method for detecting the edge of a belt conveyor in a complex environment. The method comprises the following steps: acquiring an original image of the belt conveyor in a natural environment; selecting the ROI of the conveyor belt by adopting a coordinate point box; adjusting the image contrast by using a normalization processing process; enhancing the image in the vertical direction by using a Sobel edge detection operator; enhancing the extracted white lines in the vertical direction by using morphological expansion operation, expanding between white points and then increasing a connected region of edge lines, and carrying out binarization operation on the processed image; further executing an eight-connected-domain algorithm on the processed image; and finding out two head points and two tail points of an edge line in the extracted image, respectively connecting the four points in pairs, and finally marking a straight line in the original image. According to the invention, the edge position of the conveyor belt can be accurately and rapidly detected, whether the conveyor belt deviates is judged, industrial requirements are met, the anti-interference capability is high, the robustness is good, and real-time detection of the edge of the conveyor belt in a complex environment can be realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an edge detection method of a belt conveyor in a complex environment. Background technique [0002] Belt conveyor is a continuous transportation machine widely used in coal, construction, metallurgy, electric power and other industries. Conveyor belt deviation is one of the most common failures of belt conveyors. Off-tracking will not only increase the number of conveyor accidents and affect production, but also cause materials to spread out, reducing the operating economy of the transportation system. The edge detection of the conveyor belt can effectively detect whether the conveyor belt deviates, so that the position of the conveyor belt can be adjusted through the terminal. [0003] At present, the deviation correction measures for conveyor belt deviation can be mainly divided into manual algorithms, mechanical and photoelectric automatic deviation correction algor...

AI Technical Summary

Problems solved by technology

The equipment cost of the mechanical deviation correction algorithm is low, but the accuracy is poor; while the photoelectric automatic deviation correction algorithm has high precision and good deviation correction effect, but the equipment manufacturing cost is high

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