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Apple fruit as horticultural products is considered very valuable in terms of food production and employment and exchange technology in Iran. Due to increasing industrial production methods and significant public demand of dried apple layer as an apple product, qualitative separation methods for long time lasting of this product becomes more important. In microscopic scale of fast chilling method, internal surface of dried apple layers consist of Crystal-like beads which are different in size and shape. Finally, arrangements make unique structure before and after of reduction lasting quality. In this research, a technique was presented to fast sorting during constant time process using machine vision technology. At first, the encryption operation for identification of Defined parameters using two methods of Wavelet decomposition and Wavelet packets was done and finally pictures sorting for identification of dried desirable layers from inferior layers using energy values in images after encryption operation were done. Results showed that the Wavelet packets method was more capable in images encryption than the other method. Energy interval detection threshold in images was found quite effective which can identify images of 2600×2600 pixels desirable layers in 0.86 second.  

Keywords: Apple layer, Sorting, Machine Vision, Artificial aging, Image Processig

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