Separating nut-shell pieces from hazelnuts and pistachio kernels using impact vibration analysis

In this article nut-shell pieces are separated from pistachio kernels and hazelnut kernels using impact vibration analysis. Vibration signals are recorded and analyzed in real-time. Mel-kepstral feature parameters and line spectral frequency values are extracted from the vibration signals. Feature p...

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Bibliographic Details
Main Authors: Habiboglu, Y. H., Sevimli, R. A., Cetin, A. E., Pearson, T. C.
Format: Conference Proceeding
Language:eng ; tur
Subjects:
Acoustics
Feature extraction
Histograms
impact vibration analysis
Kernel
line spectral frequencies
mel-kepstral feature
Signal processing
Support vector machines
Vibrations
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Summary:In this article nut-shell pieces are separated from pistachio kernels and hazelnut kernels using impact vibration analysis. Vibration signals are recorded and analyzed in real-time. Mel-kepstral feature parameters and line spectral frequency values are extracted from the vibration signals. Feature parameters are classified using a Support Vector Machine (SVM) which was trained a priori using a manually classified data set. An average classification rate of 96.% and 98.3%was achieved with Antep-style Turkish pistachio nuts and hazelnuts. An important feature of the method is that it is easily trainable for other kinds of pistachio nuts and other nuts including walnuts.
DOI:10.1109/SIU.2013.6531171