Adaptive Discontinuity Segmentation in Phase Measurement
To mitigate the impact of discontinuous positions on the accuracy of three-dimensional recon-struction using phase measurement profilometry,we introduced an adaptive segmentation method.This method was based on phase measurement and employed a phase discontinuity segmentation algorithm uti-lizing adaptive orientation coherence.Initially,we employed the adaptive orientation coherence map and the smooth phase map to identify discontinuous positions,that was,the grayscale map of the discontinu-ous area and the continuous area was obtained.Subsequently,the grayscale map was processed into a bi-nary mask,representing discontinuous areas as 0 and continuous areas as 1.Lastly,this mask map served as a weight map in the weighted least squares phase unwrapping method to convert the relative phase into an absolute phase.The resulting weight primarily assessed the phase quality at each pixel position within the wrapped phase map.The simulation results show that the segmentation mean errors of the adaptive ori-entation coherence method for discontinuities of straight lines and rectangles in the wrapped phase map with noise variance of 0.8 are 1.678 3 and 3.000 2 pixels,respectively.The actual experiment also proves that the proposed method can effectively segment the discontinuities for high-precision 3D reconstruction.
machine visionweighted least squaresdiscontinuity segmentationmask mapadaptive post-processing
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