Foreign matter detection method and system based on yellow foreign matter defects

Abstract

The invention relates to the technical field of image processing, in particular to a foreign matter detection method and system based on yellow foreign matter defects. The method comprises the following steps: image acquisition: photographing a detected object by using an industrial camera to generate a to-be-detected image; calculating suspicious defects: sequentially extracting R, G and B color component values of each pixel point in the to-be-detected image through an RGB color model, and calculating the suspicious defects by using a suspicious defect calculation model according to the R, G and B color component values; judging a foreign matter point: judging the distribution condition of the suspicious defects through a foreign matter point judgment model, and marking the suspicious defects meeting the foreign matter point judgment model as foreign matter points; performing foreign matter point feedback: when the foreign matter point is judged to appear, sending out foreign matter point information; and performing foreign matter prompting: prompting personnel according to the foreign matter point information. The invention aims to provide the foreign matter detection method and system based on the yellow foreign matter defects aiming at the defects in the prior art, so the production efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a foreign object detection method and system based on yellow foreign object defects. Background technique [0002] In the production process of carbon fiber material workpieces, in order to avoid the influence of foreign matter, it is necessary to detect whether there is foreign matter on the glass fiber cloth. The foreign object is usually yellow tape used to attach or hold the fiberglass cloth in place, which may remain on the cloth when the tape is removed. In the prior art, the residual foreign matter on the cloth is detected by the method of manual naked eye identification, and it is difficult for personnel to maintain the detection operation for a long time, and the detection effect is greatly affected by personnel factors, so the detection efficiency is low. [0003] In view of the above problems, based on years of rich practical experience and profession...

AI Technical Summary

Problems solved by technology

The existing technology uses the method of artificial naked eye to detect the residual foreign matter on the cloth. It is difficult for personnel to maintain the detection operation for a long time, and the detection effect is greatly affected by personnel factors, so the detection efficiency is low

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