Abstract
A global image analysis procedure was developed to analyze the overall appearance of objects in frequency domain and applied to egg shell inspection. The egg images were analyzed using a two-dimensional Fast Fourier Transform (FFT). The FFT was condensed into 33 feature signatures representing position and orientation invariant morphological features for global analysis. Multivariate discriminant analysis was used to develop classification criteria. The global analysis procedure was applied to egg shell inspection, and various inspection models demonstrated an 88% success ratio. While the global analysis is suitable for inspecting overall appearances with ambiguous criteria, conventional morphological analysis has to complement the global analysis when an application requires specific dimensional measurement or precise location of the object.
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