Surface defect detection method and device

A defect detection and defect technology, applied in the field of image processing, can solve the problems of affecting the detection effect, poor detection effect, and less useful information, and achieve the effect of improving the recognition accuracy

A defect detection and defect technology, applied in the field of image processing, can solve the problems of affecting the detection effect, poor detection effect, and less useful information, and achieve the effect of improving the recognition accuracy

CN112907595AActive Publication Date: 2021-06-04WUHAN UNIV OF SCI & TECH
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  • Surface defect detection method and device
  • Surface defect detection method and device
  • Surface defect detection method and device

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Embodiment Construction

[0033] The terms "first" and "second" in the description and claims of the embodiments of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or modules is not necessarily limited to the expressly listed Those steps or modules, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or equipment. The division of modules that appear in the embodiments of the present application is ...

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Abstract

The invention relates to the technical field of image processing, and provides a surface defect detection method and device. The method comprises the following steps: firstly, extracting each bottom-layer feature of a to-be-detected surface defect image to obtain each feature image pyramid, determining each feature image corresponding to each feature image pyramid according to a center peripheral difference mechanism, normalizing each feature image, and adding the feature images of the same type to obtain each feature saliency map; fusing the feature saliency maps by taking the energy proportion of each feature saliency map as a weight to obtain a synthetic saliency map, then extracting, fusing and sampling high-level features of the surface defect image to obtain a high-level saliency map; and finally, taking the energy proportion of the synthetic saliency map and the energy proportion of the high-level saliency map as a weight, fusing the synthetic saliency map and the high-level saliency map to obtain a total saliency map, and determining defect types and defect positions of the surface defect image according to the total saliency map. According to the invention, the recognition precision of surface defect detection is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular to a surface defect detection method and device. Background technique [0002] With the rapid development of economic construction and infrastructure construction, steel plates, one of the main products of the steel industry, are widely used in various industries, and people have higher and higher requirements for the quality of steel plates. However, due to the influence of equipment, production technology and other factors, various defects will inevitably occur on the surface of the steel plate during the production process. These defects not only affect the appearance of the steel plate, but also affect its mechanical properties to a certain extent. The related research of defect detection is of great significance to improve the quality of steel plate. With the gradual increase of output and the increase of production speed, the tradition...

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Application Information

Patent Timeline
04 Jun 2021
Publication
CN112907595A
IPC
G06T7/00; G06T7/13; G06K9/46; G06K9/62; G06N3/04; G06N3/08
CPC
G06T7/0004; G06T7/13; G06N3/08; G06T2207/10004; G06T2207/20016; G06T2207/20081; G06T2207/20221; G06T2207/30136
Inventors
汤勃; 李玉