On-line detection method of PVC round tube surface flaw based on machine vision system

Abstract

The invention discloses an on-line detection method of a PVC round tube surface flaw based on a machine vision system, comprising the following steps: arranging four industrial cameras on a tuber surface, acquiring video signals and transferring the video signals into a PC computer; carrying out pre-processing; solving an actual area corresponding to each pixel; performing cosine correction on an image to enable the image area approximate to the real curved surface area of a tube; setting time for cameras to shoot regularly, storing shot images in an engineering work space and covering the images shot before, and correcting the images; calculating the amount and areas of heterogeneous pixels in the images; and sending a signal to control a flaw mark executing mechanism to mark near the flaws by the PC computer when the set minimum threshold valve is reached, accumulating the areas and amount of the connected regions of the heterogeneous pixels in the images, clearing and weighting the areas and amount of the connected regions of the heterogeneous pixels in the images in regular time, detecting the surface flaw of the tube so as to obtain the rating of the surface flaw. The invention can automatically detect the tube surface flaw.

Description

technical field [0001] The invention relates to a non-destructive on-line detection technology of product surface quality based on a machine vision system, in particular to an on-line detection method for surface defects of circular PVC pipes based on a machine vision system. Background technique [0002] With the increasing use of PVC pipes in production and life, the automation level and quality (including surface quality) of PVC pipe production have also encountered unprecedented competitive pressure. The requirements are getting higher and higher, and the surface quality, which was originally ignored by consumers, has now become an important indicator of the quality of PVC pipes. As an important indicator of the surface quality of pipes, flaw detection is bound to become an indispensable part of the production process of PVC pipes. [0003] Flaw detection is a non-destructive testing and non-contact testing technique. The traditional detection of surface defects mainly...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned problems of manual detection, the object of the present invention is to provide an online detection method for circular PVC pipe surface defects based on a machine vision system, which is an extension of the machine vision online detection technology applied to the detection of defects such as electronic printed circuit boards and printed matter. To the production line of three-dimensional continuous products

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