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Machine vision calibration system based on LabVIEW platform

A technology of machine vision and calibration system, which is applied in the direction of instruments, image data processing, calculation, etc. It can solve the problems of inconvenient data correction, difficult to improve code, cumbersome image calibration, etc., and achieve simple and fast image acquisition, short development cycle, and calibration high precision effect

Inactive Publication Date: 2013-09-04
SUZHOU RISING AUTO PARTS
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  • Summary
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AI Technical Summary

Problems solved by technology

The traditional calibration system mainly uses C / C++ as the programming language from image acquisition to calibration processing algorithm, the development cycle is long, the program is abstract, the calibration of the image is cumbersome, and it is inconvenient to correct the data with the calibration result. Very high, difficult for most users to improve their code

Method used

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Experimental program
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Embodiment Construction

[0015] The technical solution will be further described below in combination with specific implementation methods.

[0016] Connect the CCD camera to the 1394B interface of the image acquisition card, then place the calibration plate in the field of view of the CCD camera, and select to acquire images through the 1394B interface through the capture image node of the LabVIEW platform.

[0017] Then, the lens distortion is corrected by the distortion correction module according to the information obtained from the image of the calibration plate. The main steps are as follows:

[0018] 1) Select the calibration image source; select the calibration plate image collected by the image acquisition module;

[0019] 2) Extract feature points; since the black dots of the calibration board and the white base plate have obvious distinguishing features, that is, the gray value of the edge of the black dot is significantly different, the gray value of the edge of the black dot can be used ...

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Abstract

The invention discloses a machine vision calibration system based on a LabVIEW platform. The system comprises an image acquiring module and a distortion correcting module, wherein the image acquiring module is used for acquiring an image of a calibration plate; the distortion correcting module is used for correcting distortion of the image of the calibration plate caused by a camera lens by using a radial distortion model and a coordinate conversion algorithm. The invention also discloses a machine vision calibration method based on the LabVIEW platform. The distortion caused by the camera lens is corrected by using the radial distortion model and the coordinate conversion algorithm according to image information of the calibration plate. The development period of the whole system is short, the image is simply, conveniently and quickly acquired, the calibration operation is simple, and the calibration precision is relatively high.

Description

technical field [0001] The invention relates to a machine vision calibration system, in particular to a machine vision calibration system based on the LabVIEW platform. Background technique [0002] Machine vision is to use the photoelectric imaging system to collect the image of the monitored target, carry out digital image processing through the computer or digital processing through a dedicated image processing module, and then perform image processing based on the relevant information of the image (such as pixel distribution, brightness and color, etc.). Target recognition of size, shape, color, etc. In this way, combining the rapidity, flexibility and reproducibility of computers with the high intelligence and abstract understanding ability of human vision greatly improves the flexibility and automation of production, measurement and monitoring. [0003] With the development of photoelectric technology and computer technology, machine vision systems have been widely us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 岳胜桥周翟和龚达锦邓小峰
Owner SUZHOU RISING AUTO PARTS
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