Identification method of waste based on gray level co-occurrence matrix and neural network

According gray level co-occurrence matrix (glcm) has a good ability to express the characteristics of texture, a waste identification method based on glcm and probabilistic neural network was proposed. The method obtains waste images from the refuse conveyor belt by high-speed camera system, after image preprocessing, extracts the texture features -glcm, then trains the neural network with the glcm as samples, and waste intelligent identification was realized, lays the foundation for automatic classification of waste and provides a new harmless, reduction and resource way for the garbage disposal.