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Abnormal phase removing method in phase measuring profilometry

Xu X., Cao Y., Chen C., Cao S., Peng K.

Optica Applicata

2017

Vol. 47, nr 1

85--95

An abnormal phase removing method in phase measuring profilometry is proposed. In the five equal shifting phase steps algorithm, the shifting phase might be extracted from the deformed patterns captured by CCD camera. But there may be some errors introduced by a digital fringe projector and CCD camera in these deformed patterns. The impurity of the deformed patterns may lead to four classes of abnormalities when extracting the shifting phase. These abnormalities may cause the wrong shifting phase extraction by which the reconstructed object might be misshapen or anamorphic, or even in failure. By this proposed method, the above abnormalities can be removed, and the shifting phase can be auto-extracted precisely from the impure deformed patterns without knowing its value. Experimental results verify the feasibility and effectiveness of the proposed method.

A method for improving the precision of on-line phase measurement profilometry

Mao Z, Cao Y, Zhong L, Cao S

Optica Applicata

2015

Vol. 45, nr 1

51—61

An on-line phase measurement profilometry based on improved Stoilov’s algorithm is proposed to measure the 3D shape of moving object. While only one frame sinusoidal grating is projected on the moving object, the equal phase-shifting step deformed patterns modulated by profile of the measured object can be captured at every equivalent moving distance of the measured object instead of digital phase-shifting. Stoilov’s algorithm is an equal phase-shifting step algorithm at an arbitrary phase-shifting step, which is suitable for on-line phase measurement profilometry. However, the arbitrary phase-shifting step of Stoilov’s algorithm depends on the captured deformed patterns, in which the digitized errors of digital light projector or CCD camera, and the disturbance of surrounding light could be introduced, it will lead to some abnormities in wrapped phase, such as the denominator in Stoilov’s algorithm could be zero, which could cause the reconstructed 3D profile of the measured object appear burr, distortion or aberration, even could not be reconstructed. So an on-line phase measurement profilometry based on improved Stoilov’s algorithm is proposed. The arbitrary phase-shifting step is retrieved by both pixel matching and fringe cycle calibration rather than the captured deformed patterns. Experiments verify the feasibility and effectiveness of the proposed on-line phase measurement profilometry.