Coal gangue classification and identification method and process based on image enhancement and deep learning

Abstract

The invention discloses a coal gangue classification and recognition method and process based on image enhancement and deep learning, belongs to the field of computer vision and image processing, and particularly relates to a coal gangue classification and recognition method. The method comprises the steps of collecting coal and gangue images and performing image enhancement processing, making a data set for the coal and gangue images subjected to the coal and gangue image enhancement processing, building and improving a LeNet network, training the obtained data set, and obtaining a coal and gangue classification and recognition result model through neural network training; according to the method, the difference of the coal and gangue images is increased by performing image enhancement processing on the collected original coal and gangue images, and the convolutional neural network in deep learning is combined, so that the coal and gangue classification and recognition accuracy is greatly improved, and the problem that the existing coal and gangue recognition accuracy is low at present is solved.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, in particular to a method for classifying and identifying coal gangue. Background technique [0002] Coal resources, as the main energy source in my country, play an important supporting role in the development of my country's industry. Gangue is a kind of low-carbon solid waste produced in the process of coal mining and processing, which will reduce the calorific value of coal and increase the emission of pollutants. Therefore, the separation of coal and gangue is a necessary process in the production process of coal mines to reduce emissions and improve coal quality. [0003] The traditional coal and gangue sorting technology has obvious shortcomings and prominent problems. The manual sorting method is not only labor-intensive, but also has low coal production efficiency, and the sorting environment is also very harsh. The jigging coal preparation method uses water and air a...

AI Technical Summary

Problems solved by technology

However, the difference of coal gangue images is small. Although the existing neural network can directly recognize the original coal gangue image, it can achieve the recognition and classification effect of coal gangue images, but the accuracy rate is low.

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