Defect detection method, device and equipment for mold monitoring and medium

Abstract

The embodiment of the invention discloses a defect detection method, device and equipment for mold monitoring and a medium. The method comprises the following steps: acquiring a first pixel point set corresponding to a template image and a second pixel point set corresponding to a to-be-detected image; determining a first feature point set and a second feature point set according to the similarity between the first target pixel point and the corresponding second target pixel point; determining an image transformation rule according to the position information of a preset number of first feature points in the first feature point set and the position information of corresponding second feature points in the second feature point set, and performing position information correction on all pixel points in the second region of interest according to the image transformation rule to obtain corrected pixel points; and determining a difference image according to the corrected pixel points and the corresponding pixel points in the first region of interest, and performing defect detection on the difference image. According to the technical scheme of the embodiment of the invention, efficient and accurate defect detection can be realized, and the die production quality can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of digital image processing, and in particular to a defect detection method, device, equipment and medium for mold monitoring. Background technique [0002] In the manufacturing industry, due to the particularity and irregularity of different products and molds, it takes time and effort to detect the production status of the product, and the mold opening status cannot be accurately and quickly detected, resulting in problems such as mold damage and reduced production efficiency. Taking the injection molding industry as an example, the quality of molds is directly related to the quality of products. Therefore, how to effectively monitor the status of molds and products during the injection molding process to ensure the quality of mold production is the focus of the injection molding industry. [0003] The existing defect detection methods for mold monitoring can be roughly divided into t...

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Problems solved by technology

[0004] However, the grayscale-based matching method in the above scheme has a slow matching speed and is not suitable for the situation where the target rotates and deforms before and after mold opening; the shape-based matching method has relatively high requirements for on-site working conditions, and the on-site environment of the mold monitoring application It is complex and not suitable for mold monitoring applications; the method based on image understanding and search has low matching accuracy, and each scene needs to train a large amount of data, which is difficult to achieve generalization; the method based on feature location and search has high requirements for feature selection and consumes duration

There is currently no efficient defect detection method for mold monitoring

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