Quantitative characterization of fiber cross sections has attracted co
nsiderable interest, since cross-sectional size and shape have an impo
rtant impact on the physical and mechanical properties of fibers, as w
ell as the performance of end-use products. We present one application
of automated measurement using image processing techniques that extra
ct basic shape features from fiber cross sections. Cross-sectional sha
pes are characterized with the aid of geometric and Fourier descriptor
s. Geometric descriptors measure attributes such as area, roundness, a
nd ellipticity. Fourier descriptors are derived from the Fourier serie
s for the cumulative angular function of the cross-sectional boundary
and are used to characterize shape complexity and other geometric attr
ibutes. Shape reconstruction based on Fourier coefficients is also dis
cussed. We present the results of shape analysis for a wide variety of
fiber types.