When reconstructing the three-dimensional (3D) object height profile using the
fringe projection profilometry (FPP) technique, the light intensity reflected
from the object surface can yield abruptly changing bias in the captured fringe
image, which leads to severe reconstruction error. The traditional approach
tries to remove the bias by suppressing the zero spectrum of the fringe image.
It is based on the assumption that the aliasing between the frequency spectrum
of the bias, which is around the zero frequency, and the frequency spectrum of
the fringe is negligible. This, however, is not the case in practice. In this
paper, we propose a novel (to our knowledge) technique to eliminate the bias in
the fringe image using the dual-tree complex wavelet transform (DT-CWT). The new
approach successfully identifies the features of bias, fringe, and noise in the
DT-CWT domain, which allows the bias to be effectively extracted from a noisy
fringe image. Experimental results show that the proposed algorithm is superior
to the traditional methods and facilitates accurate reconstruction of
objects’ 3D models.
© 2012 Optical Society of America
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