Reaserch of the improvement of Zhang’s camera calibration method

Yan, 刘艳 Liu; Tengfei, 李腾飞 Li

doi:10.3788/gxjs20144006.0565

Cited by 22 publications

(1 citation statement)

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“…By calculating the internal parameters of the camera, the actual pixel cell size of the camera can be calculated, and the size can be measured accurately. [3][4] This paper uses Camera Calibration, a calibration tool provided by MATLAB, to obtain internal parameters of the camera, such as internal parameters, external parameters, distortion, translation vectors, etc.. First take images of multiple calibration boards, then import the images of multiple calibration boards into Camera Calibration, use Camera Calibration to calculate camera parameters, and finally export camera parameters to MATLAB.…”

Section: Radius Measuring Camera Calibrationmentioning

confidence: 99%

Intelligent measuring device and method for large grinding wheel size

Zhu

Lin

et al. 2023

Third Optics Frontier Conference (OFS 2023)

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Non-destructive testing technology for large grinding wheel geometry is getting more and more attention from the industry. A device based on machine vision technology for intelligent measurement of large grinding wheel size is introduced. After calibrating and measuring the inside and outside radius of the grinding wheel and the thickness of the grinding wheel, intelligent detection is realized through a series of operations such as binarization of the original map, filling, expanding, outline extraction and outline coordinate extraction through hardware design and software programming. The hardware requirements of this design are simple. When measuring the radius of a grinding wheel, the method described in this paper gives the results of radius and height measurements with accuracy up to 5mm and 1mm, respectively. Finally, through repeated measurement experiments, the intelligent detection device of large grinding wheel size established in this paper can effectively solve the problems of field calibration of large grinding wheel and fast detection of inside and outside diameters.

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Section: Radius Measuring Camera Calibrationmentioning

confidence: 99%