Obtaining Three-dimensional Surface Information of Small Industrial Parts by the Method Based on Three Frequency Heterodyne
With the arrival of the Industry 4.0 era dominated by intelligent manufacturing,machine vision can replace manual labor to help enterprises effectively improve production efficiency and reduce production costs,occupies a core position in intelligent manufacturing.In order to better cultivate intelligent manufacturing talents in the new era,in the teaching process,it is necessary to organically combine the theoretical knowledge of machine vision with its practical value in reality.The paper obtains three-dimensional(3D)surface information of small industrial parts by the optical 3D measurement method based on phase-shifting and three frequency heterodyne phase unwrapping method.Three different frequency stripe patterns are sequentially projected onto the surface of the measured object,the phase-shifting and three frequency heterodyne phase unwrapping algorithms can be used to reconstruct unwrapped phase of the measured object from the deformed stripes modulated by the measured object surface collected by the camera.By calibrating the measurement system to obtain the mapping relationship between phase and height,the 3D surface information of the measured object can be obtained.In addition,by projecting white images onto the measured object and performing threshold segmentation on the images captured by the camera,the shadow areas in the reconstructed 3D surface of the measured object were located,thus removed useless shadow area surface information from the reconstruction results.
machine vision3D surface informationthree frequency heterodyne phase unwrapping method
NETL
NSTL
万方数据
