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Crack image acquisition method, crack image detection method, computer equipment and readable storage medium

A crack detection and image acquisition technology, applied in the field of computer vision, can solve the problem of low crack recognition accuracy and achieve the effect of accurate, fast and accurate crack recognition

Active Publication Date: 2019-12-24
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a crack image acquisition and detection method, computer equipment and readable storage medium, which can solve the problem of low accuracy of crack recognition in related technologies

Method used

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  • Crack image acquisition method, crack image detection method, computer equipment and readable storage medium
  • Crack image acquisition method, crack image detection method, computer equipment and readable storage medium
  • Crack image acquisition method, crack image detection method, computer equipment and readable storage medium

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Embodiment Construction

[0067] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0068] In the description of the present application, it should be noted that the terms "first", "second", and "third" are used for description purposes only, and should not be understood as indicating or implying relative importance.

[0069] In addition, the technical features involved in the different embodiments of the present application described below may be combined as long as they do not constitute a conflict with each other.

[0070] An embodiment of the present application provides a crack image acq...

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Abstract

The invention discloses a crack image acquisition method, a crack image detection method, computer equipment and a readable storage medium, and belongs to the technical field of computer vision. The crack image acquisition method comprises the following steps: detecting target equipment in a sample image to generate an equipment image set, detecting target components in the equipment image set togenerate a component image set, and processing the component image set to generate a crack image set; training a detection model based on the crack image set; compared with the prior art, layer-by-layer detection of a sample image and segmentation of a detection result are carried out, and target detection and semantic segmentation technologies are combined to identify cracks, so that specific pixels of the cracks can be rapidly and accurately identified instead of only identifying an external rectangular area where the pixels are located, and thus the obtained crack image is more accurate. According to the crack detection method provided by the invention, the crack detection model is trained on the basis of the crack image acquired by the crack image acquisition method, and the crack canbe quickly and accurately identified.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a crack image acquisition and detection method, computer equipment and a readable storage medium. Background technique [0002] Because some equipment is exposed to the outside all year round, under the influence of various climates and environmental factors such as exposure to the sun, freezing, and typhoons for a long time, cracks are an unavoidable phenomenon. The appearance of cracks on the parts of these devices means that the parts may be damaged. This situation will cause various problems. It affects the stable operation of the entire power system. [0003] Common inspection methods are mainly manual observation and measurement. In recent years, with the popularization of UAV applications, the use of UAVs for equipment inspection has become a new way, but the current related identification algorithms are not effective in identifying cracks in outdoor equipment. ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T3/40
CPCG06T7/0004G06T3/4038G06T2207/20081
Inventor 陈其鹏李程启吴鹏赵婷郑晓崑
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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