Research on Cotton Sorting System Based on Artificial Neural Network and Machine Vision
It firstly introduces the principle of convolution neural network,and then builds a cotton sorting vision system based on binocular vision.And then it realizes the function of edge detection and feature extraction of cotton image based on 3×3 Windows,Sobel,Hough and other algorithms.Finally,based on convolution neural network,the cotton image is feature extraction and classification of advantages and disadvantages,and the recognized cotton is spatially located by binocular vision.The experimental results show that the accuracy of this cotton sorting system is 96.50%,which can effectively meet the requirements of practical application.
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