A method for extracting and identifying the end surface defects of steel pipes

Abstract

The invention discloses a method for extracting and identifying the end surface defects of a steel pipe, which comprises the following steps: (1) adopting a reasonable light source construction mode of a camera, firstly dividing a binary diagram of a chamfered part of the steel pipe by a fixed threshold value; (2) fitting the chamfered inner and outer diameters of the end face of the steel pipe bythe least square method to determine whether the chamfered angle of the end face of the steel pipe is reversed or not; (3) creating a mask image according to the chamfered inner and outer diameter parameters fitting in step 2; (4) performing AND operation on the mask image and the original image obtained in the step (3) to obtain an image containing only the end plane and no chamfer; (5) using the OTSU algorithm to segment the end plane image according to the image obtained in the step 4 to obtain the binary image of the defect region. (6) By calculating the characteristic parameters of the defect region and using the support vector machine, the defect types can be identified. The invention has the advantages of high operation efficiency, strong stability and wide probationary performance, and the method can be used for the end surface defects of most steel pipe types or ring products.

Description

technical field [0001] The invention relates to the technical field of steel pipe production, in particular to a method for extracting and identifying defects on the end face of a steel pipe. Background technique [0002] With the continuous improvement of the processing technology of iron and steel enterprises, the quality requirements for the end face of steel pipes are also continuously improved. The quality of the end face of the steel pipe will directly affect the performance and quality of the product, which in turn may affect the assembly of the subsequent process. However, in the process of producing steel pipes, due to the on-site environment, equipment and other reasons, defects such as scratches, chipping, scratches, and pits will appear on the end faces of the steel pipes. Therefore, efficient and accurate end face defect detection must be carried out on steel pipes before they leave the factory. [0003] At present, most steel pipe production enterprises use m...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for extracting and identifying defects on the end face of steel pipes based on machine vision, which overcomes the shortcomings of manual detection that is prone to errors and low efficiency in the prior art, and the present invention realizes the extraction of various defects on the end face of steel pipe Inspection, including whether the inner and outer diameters of steel pipe chamfers are reversed, and the extraction and identification of defect areas such as end surface abrasions, collapses, scratches, and pits

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