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A Deformation and Pit Detection Method Based on Depth Information

A technology of depth information and detection method, which is applied in image analysis, image enhancement, instruments, etc., can solve the problems of low detection accuracy and the influence of lighting conditions, and achieve the effect of high resolution rate

Active Publication Date: 2021-09-07
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for detecting wood deformation and pits based on depth information to solve the problem that traditional wood defect image detection methods are easily affected by lighting conditions and have low detection accuracy

Method used

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  • A Deformation and Pit Detection Method Based on Depth Information
  • A Deformation and Pit Detection Method Based on Depth Information
  • A Deformation and Pit Detection Method Based on Depth Information

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Embodiment Construction

[0041] see figure 1 , the invention discloses a method for detecting deformation and pits of a wooden board based on depth information. The hardware platform framework adopted by the method includes an image acquisition device, a detection platform and an industrial computer, wherein:

[0042] The image acquisition device is connected with the industrial computer and set up directly above the detection platform, and the wooden board to be detected is placed on the detection platform; the image information and depth information of the wooden board are collected by the image acquisition device and sent to the industrial computer, and the industrial computer completes the image processing Get test results. In an embodiment of the present invention, the image acquisition device adopts a structured light depth 3D camera.

[0043] Before the board image acquisition, the image acquisition device needs to be calibrated, the specific method is:

[0044] Use the 3D camera to take pict...

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Abstract

The invention discloses a method for detecting plank deformation and pits based on depth information. The hardware platform framework adopted by the method includes an image acquisition device, a detection platform and an industrial computer. Compared with the traditional image defect detection which is easily affected by lighting conditions and the detection accuracy is not high, the present invention uses a mechanism optical depth camera to obtain high-resolution depth images, and it is not easily affected by lighting conditions or shadows. It is not only suitable for detecting defects on the surface of wooden boards, but also can detect the bending deformation of the boards in a non-contact manner, and measure the dimensions of the board in all directions.

Description

technical field [0001] The invention relates to the field of defect detection, in particular to a method for detecting deformation and pits of a wooden board based on depth information. Background technique [0002] With the vigorous development of the social economy and the continuous improvement of living standards after the reform and opening up, the use of wooden panels is also increasing, especially now that the government and enterprises are promoting intelligent manufacturing, and the degree of automation and intelligence of major factories Higher and higher, which requires the production equipment of wood panels to become more intelligent. [0003] The production process and manufacturing process of wooden boards are now becoming more and more complete, and the technical conditions are becoming more and more mature, but there will always be some unavoidable bumps in the production process, resulting in relatively obvious pit defects on the surface of the board, which...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/62G06T7/80G06T5/00
CPCG06T7/0004G06T7/62G06T7/13G06T7/12G06T7/85G06T2207/20032G06T2207/20104G06T2207/10012G06T2207/10024G06T2207/30161G06T5/70
Inventor 刘建圻杨俊威赵建国王炯楠
Owner GUANGDONG UNIV OF TECH