The roughness of the surface is an important parameter that reflects the quality of the object. Optical methods are the
usual ways to measure the surface roughness including scattering method, speckle method, interferometric method and
optical stylus method. But they are highly required the precision of the mechanism and they are not convenient to realize
the automatic measurement. To improve the structure and the automatic performance, this surface roughness
measurement system is based on the theory of two-dimensional phase unwrapping that is widely used in
aerophotogrammetry. With the theory, the three dimensional data can be calculated from the images detected. The
difference is that the image is captured by radar in aerophotogrammetrytly while it is got by using optical structure in this
system. The images are got through the optical structure with the structured light. To control the phase of the light, the
gratings is used in the system controlled by the piezoelectric ceramics. The phase information is contained in the image
and captured by the CCD camera. To analyze the images captured through the optical system, the phase should be
extracted from the images through complex operation to generate the phase map. The quality-guided algorithm is the
main algorithm in this system. LabVIEW is the main software development environment and the massive calculation is
accomplished in the dynamic linked library complied by Visual C++ to realize the image processing. Through the
stereogram showed in the software we can clearly get the three dimensional information of the surface.
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