Abstract
Based on the normalized product correlation image matching algorithm, this paper uses wavelet transform for image pre-processing and conducts a content-based image retrieval applied research based on blue apple flea beetle. The experiment proves that this method can not only greatly shorten the matching time, but also improve the identification of Nprod coefficient. It makes image matching more accurate, and provides a new train of thoughts for the image retrieval of fruit tree diseases and insect pests based on content.
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