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Object defect detection method and device, electronic equipment and storage medium

A defect detection and defect technology, applied in the field of defect identification, can solve the problems of low performance of full-scale defect detection and poor detection effect of extreme-scale defects, and achieve the effect of improving detection performance and detection effect

Active Publication Date: 2021-09-21
深圳市信润富联数字科技有限公司
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Problems solved by technology

[0003] In order to solve the technical problems of the poor detection effect of extreme-scale defects in the defect detection process and the low performance of full-scale defect detection caused by forced fitting of extreme scales, the embodiments of the present invention provide a method, device, electronic equipment and storage medium for object defect detection

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  • Object defect detection method and device, electronic equipment and storage medium
  • Object defect detection method and device, electronic equipment and storage medium
  • Object defect detection method and device, electronic equipment and storage medium

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Embodiment Construction

[0051] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0052] An embodiment of the present invention provides a method for object defect detection, such as figure 1 As shown, the method includes:

[0053]Step 101: Obtain object images of different defect scales;

[0054] Step 102: Perform scale transformation of the absolute scale and relative scale on the object image to obtain a first object image whose defect scale is within a preset scale range;

[0055] Step 103: According to the defect scale of the first object image, use a preset recognition model to detect and recognize the first object image, and obtain a defect detection result of the object image.

[0056] Specifically, this embodiment can detect defects on the surface of objects such as hot-rolled steel strips.

[0057] In practical applications, the object image can be collected by the camera, and the defect scale of the object image can b...

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Abstract

The invention discloses an object defect detection method and device, electronic equipment and a storage medium. The method comprises the steps of acquiring object images of different defect scales; performing scale transformation of an absolute scale and a relative scale on the object images to obtain a first object image of which the defect scale is within a preset scale range; and according to the defect scale of the first object image, detecting and identifying the first object image by using a preset identification model to obtain a defect detection result of the object image. By adopting the scheme provided by the invention, the detection effect of extreme scale defects in the object defect detection process can be improved, and the detection performance is improved.

Description

technical field [0001] The present invention relates to the technical field of defect identification, in particular to an object defect detection method, device, electronic equipment and storage medium. Background technique [0002] At present, for defects on the surface of hot-rolled strip steel, a backbone network based on convolutional neural network plus an improved feature fusion recognition model is often used to detect the collected pictures to identify defects. However, since the size difference between the extremely large-scale defects and the extremely small-scale defects in the metal is more than 40 times, and the area is more than 1600 times different, and the convolutional neural network itself does not have scale invariance, the scale invariance brought about by using feature fusion Just using the powerful fitting ability of the deep neural network to barely achieve the effect of multi-scale detection. Therefore, in the above detection methods, the detection e...

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Application Information

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IPC IPC(8): G06K9/62G06T7/00G06T7/62
CPCG06T7/0002G06T7/62G06T2207/20081G06F18/214
Inventor 于洋黄雪峰熊海飞
Owner 深圳市信润富联数字科技有限公司
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