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

An image enhancement, classification and recognition technology, applied in the field of computer vision and image processing, can solve the problems of low accuracy and small difference of coal gangue images, and achieve the effect of maintaining invariance, improving recognition rate and improving recognition accuracy.

Pending Publication Date: 2022-06-14
HEBEI UNIV OF ENG
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coal gangue classification and identification method and process based on image enhancement and deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described below in conjunction with embodiment:

[0024] like figure 1 As shown, a coal gangue classification and recognition method and process based on image enhancement and deep learning includes the following steps:

[0025] S1: coal gangue image acquisition and image enhancement processing;

[0026] S2: the coal gangue image after the S1 coal gangue image enhancement processing is made into a data set;

[0027] S3: Build and improve the LeNet network and train for the data set obtained by S2;

[0028] S4: Obtain the coal gangue classification and recognition result model through neural network training.

[0029] In this embodiment, the image enhancement processing in the step S1 is specifically:

[0030] (1) Obtain the height and width of the collected image. If the height of the image is greater than the width, then expand the width of the image. The expanded width is the average of the difference between the height and wi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06N3/08G06N3/04G06K9/62G06T5/00G06V10/764G06V10/82
CPCG06T7/0004G06T7/13G06T7/12G06N3/08G06T5/00G06T2207/20081G06N3/045G06F18/241G06F18/214
Inventor 李玉丽张雷
Owner HEBEI UNIV OF ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap