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Casting Defect Recognition Method Based on Human Vision Attention Mechanism

An attention mechanism and casting defect technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of complex calculation, poor adaptability, and low efficiency, and achieve high detection efficiency, high accuracy, and good recognition effect

Inactive Publication Date: 2021-06-08
CHONGQING LIYANG ELECTRICAL & MECHANICAL EQUIP MFG CO LTD
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Problems solved by technology

However, the model proposed by Itti has disadvantages such as poor adaptability, complex calculation, and low efficiency in the face of complex large background ray images.

Method used

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  • Casting Defect Recognition Method Based on Human Vision Attention Mechanism
  • Casting Defect Recognition Method Based on Human Vision Attention Mechanism
  • Casting Defect Recognition Method Based on Human Vision Attention Mechanism

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Embodiment Construction

[0056] see figure 1 , the invention discloses a casting defect detection system based on the human eye vision mechanism, the system includes a patrol robot and a host computer, the patrol robot is used to obtain continuous casting radiographic images, that is, a dynamic sequence of casting radiographic images, and Upload the obtained continuous casting radiographic images to the upper computer, and the upper computer is used to collect the continuous casting radiographic images uploaded by the inspection robot, and perform image segmentation, defect matching, and defect location processing on the casting radiographic images to output positioning data .

[0057] The inspection robot randomly or fixedly acquires images of moving workpieces near the conveyor belt, and then the working process of the system is: (1) The system starts, the transmission belt starts to work, the feeder puts the castings on the conveyor belt, and the conveyor belt moves quickly; (2) The inspection rob...

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Abstract

The invention discloses a casting defect recognition method based on the human eye visual attention mechanism, which introduces the human eye visual selection attention mechanism and the stereoscopic mechanism into the X-ray image target detection, and the method extracts the defects in real time in the motion sequence of the image And dynamic tracking, using image processing methods such as the human visual attention mechanism model to separate potential defects in each image, ensuring that all true defects are extracted without considering the number of false defects, and this method is applied to the online detection of industrial inspection robots In the process, it has great practical significance.

Description

technical field [0001] The invention relates to the field of casting defect detection, in particular to a casting defect recognition method based on the human eye visual attention mechanism. Background technique [0002] With the continuous increase of labor costs and the continuous rise of raw materials, in order to minimize costs, more and more forward-looking enterprises choose robots to replace manual production and realize the automation industry upgrade of production lines. Under this new robot-based intelligent manufacturing model, the quality is more guaranteed, while the efficiency is improved and the cost is reduced. At present, the human visual inspection technology of industrial robots has become a research hotspot of large foreign companies, and all major manufacturers have also set the flexible visual inspection of industrial robots as the application trend of online inspection in the future. Therefore, using the visual non-destructive testing method on the ca...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187
CPCG06T7/0008G06T2207/10016G06T2207/10116G06T2207/20021G06T2207/30116G06T7/11G06T7/187
Inventor 周国新应征李文明
Owner CHONGQING LIYANG ELECTRICAL & MECHANICAL EQUIP MFG CO LTD
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