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Classification of Hazelnut Kernels by Using Impact Acoustic Time-Frequency Patterns
EURASIP Journal on Advances in Signal Processing
Hazelnuts with damaged or cracked shells are more prone to infection with aflatoxin producing molds (Aspergillus flavus). These molds can cause cancer. In this study, we introduce a new approach that separates damaged/cracked hazelnut kernels from good ones by using time-frequency features obtained from impact acoustic signals. The proposed technique requires no prior knowledge of the relevant time and frequency locations. In an offline step, the algorithm adaptively segments impact signalsdoi:10.1155/2008/247643 fatcat:ei37ohxiznhlneygjy6g4fnu4q