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An objective pilling evaluation method has been developed using image analysis and artificial neural network. Pilling parameters obtained in the previous study were used as the input values for neural network. A total of 9 data sets including 5 standard grades and 4 interpolated intermediate grades were used for training the network. Nine samples were prepared to verify the validity of the trained...
An objective evaluation method for woven fabric pilling has been developed using image processing and statistical analysis. Five ASTM photographic standard images were analyzed to determine a characterization method for fabric pilling. Images were filtered by various image analysis techniques such as fast Fourier transformation (FFT) and fast wavelet transformation (FWT). Three parameters including...
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