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Metal workpiece defect detection method based on binocular vision

A binocular vision, metal workpiece technology, applied in the direction of image analysis, image enhancement, instruments, etc., can solve the problem of limited visual information, and achieve the effect of good versatility, high accuracy and good real-time performance.

Inactive Publication Date: 2017-10-13
HOHAI UNIV CHANGZHOU
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AI Technical Summary

Problems solved by technology

Among them, monocular vision is often used as the easiest and fastest image acquisition method in various fields, but the visual information it obtains is relatively restrictive.

Method used

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  • Metal workpiece defect detection method based on binocular vision
  • Metal workpiece defect detection method based on binocular vision
  • Metal workpiece defect detection method based on binocular vision

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings.

[0021] Concrete technical scheme of the present invention comprises following three steps:

[0022] 1. Binocular camera calibration.

[0023] The essence of camera calibration is to find the relationship between the world coordinate system and the image coordinate system, such as figure 2 . In the process of three-dimensional calibration of target pixels using binocular vision, two parallel CCD cameras shoot the same target object at different angles; then the pixel point space is completed through the calibration parameters of the binocular camera and the parallax information of the left and right images Calculation of coordinates. Accurate calibration of the parameters and positional relationship between the left and right cameras is also an important step in the calculation of the spatial coordinates of the pixel points on the edge of the target.

[0024] a. Pu...

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Abstract

The invention discloses a metal workpiece defect detection method based on binocular vision. The metal workpiece defect detection method comprises the steps of binocular camera calibration, workpiece target extraction and workpiece defect detection. The produced workpiece possibly has defects in the industrial production because of the problems of production process and casting technology. With application of the method, the workpiece target acting as the foreground can be extracted out of the complex background to detect the workpiece detects without the influence of external environment or target object factors so as to have the advantages of great universality, high accuracy and great real-time performance and have great significance for intelligent machine detection in the field of spaceflight, military, industry and security.

Description

technical field [0001] The invention relates to a metal workpiece defect detection based on binocular vision, which belongs to the field of digital image processing and industrial detection. Background technique [0002] Among various sensing detection systems and methods, the machine vision detection system and its related technologies, which rely on cameras and other visual sensors, play an important role. On the one hand, the visual sensor has a large measurement range and the detection information obtained is much richer than other sensors; on the other hand, the visual detection can be used in the general working environment without special auxiliary devices; The contact detection method will not cause any damage to the surface of the detected object. It is precisely because of these outstanding advantages that visual inspection methods and visual inspection systems have been widely used in industrial production, and they undertake important tasks such as on-site infor...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T3/40G06T7/80
CPCG06T3/4053G06T7/0008G06T2207/20032G06T2207/20164G06T2207/30136G06T2207/30164G06T2207/30208G06T7/11G06T7/136G06T7/85
Inventor 盛子旗马啸川马云鹏王佳妤李庆武
Owner HOHAI UNIV CHANGZHOU
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