Y. Tao et al., FOURIER-BASED SEPARATION TECHNIQUE FOR SHAPE GRADING OF POTATOES USING MACHINE VISION, Transactions of the ASAE, 38(3), 1995, pp. 949-957
A Fourier-based shape separation method was developed for shape gradin
g of potatoes using machine vision for automated inspection. The relat
ionship between object shape and its boundary spectrum values in Fouri
er domain was explored for shape extraction. A new and fast method of
using Green's theorem and boundary Fourier coefficients was given for
estimating elongation of an object. A shape separator based on harmoni
cs of the transform was defined for potato shape separation. Tests sho
wed the shape separator was effective and efficient for difficult shap
e separation. The machine vision system developed has a great potentia
l to assist humans for automated potato grading.