The automatic classification of the agricultural products based on the wavelet texture analysis

Abstract

The paper puts forward a technology for the agricultural products automatic identification based on the wavelet texture analysis. The experiment chooses different levels of four apples, extracting their wavelet texture features and then classifying their features. The experiment shows that the technology has smaller computing complexity and higher stability for the product change whose products have the same kind but different classifications.