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Glass defect intelligent detection method

An intelligent detection and glass defect technology, applied in the field of image processing, can solve problems such as low detection efficiency, and achieve the effect of improving accuracy and detection efficiency

Active Publication Date: 2022-03-22
武汉旺佳玻璃制品有限公司
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Problems solved by technology

However, the detection efficiency of this defect detection method is low, and it is often a random inspection of the glass

Method used

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Embodiment Construction

[0040] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation, structure, Features and their effects are detailed below. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0042] An embodiment of the present invention provides a specific implementation method of an intelligent glass defect detection method, which is applicable to glass defect detection scenarios. The glass is placed on the conveyor belt, and an RGB camera is arranged directly above the conveyor belt ...

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Abstract

The invention relates to the technical field of image processing, in particular to a glass defect intelligent detection method, which comprises the following steps of: firstly, preprocessing an acquired glass image to obtain a threshold segmentation image and a corresponding target connected domain; and calculating the gray level similarity of the target connected domain according to the gray level corresponding to each pixel point in the target connected domain, and screening the target connected domain according to the gray level similarity to obtain a to-be-selected connected domain. The connected domain width of the to-be-selected connected domain is calculated, a width difference value sequence is obtained, and the proportion of the values of the same symbols in the width difference value sequence is the tail thorn rate. And calculating internal and external differences of the to-be-selected connected domain according to the gray level of the to-be-selected connected domain, wherein the product of the internal and external differences and the tail thorn rate is the fringe rate. And constructing a two-tuple by the fringe rate and the bending degree, and selecting a fringe defect connected domain from the to-be-selected connected domain according to the two-tuple. According to the embodiment of the invention, defect detection is carried out on the collected glass image, so that the accuracy and efficiency of glass defect detection are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an intelligent detection method for glass defects. Background technique [0002] Glass is one of the important materials in the industrial and civilian fields, and whether it has defects directly determines whether the glass product is qualified. In the production process of bottle glass products, various external influences will cause defects in glass products. Among them, glass streak defects are a common defect, and it is also one of the main defects that affect the internal and appearance quality of products. [0003] Since the reflective and transparent characteristics of glass will affect the accuracy of defect detection, at present, the common method for defect detection of glass is instrument detection, and the stripe stress and refractive index are measured through a polarizing microscope to obtain defect stripes. However, the detection efficiency of this defec...

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Application Information

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IPC IPC(8): G06T7/00G06T7/136G06T7/187
CPCG06T7/0004G06T7/187G06T7/136G06T2207/10004
Inventor 吴国得
Owner 武汉旺佳玻璃制品有限公司
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