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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However, the detection efficiency of this defect detection me

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[0040] In order to further illustrate the technical means and efficacy of the present invention to achieve the object of the present invention, the intelligent detection method of a glass defect proposed in accordance with the present invention is intended to be combined with reference to the drawings and preferred embodiments. Characteristics and its efficacy, detailed description. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Further, specific features, structures, or features in one or more embodiments may be combined by any suitable form.

[0041] All technical and scientific terms used herein are commonly understood by those skilled in the art of the present invention, unless otherwise defined.

[0042] The embodiment of the present invention provides a specific implementation method of a glass defect intelligence detection method, which is suitable for use in a glass defect detection scenario. ...

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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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