Image recognition method of coal and gangue

A technology of image recognition and gangue, which is applied in the field of image recognition, can solve the problems of low recognition rate, achieve high recognition rate, easy operation, and improve quality

Inactive Publication Date: 2012-06-27
CHINA UNIV OF MINING & TECH
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Problems solved by technology

Among the currently disclosed separation methods, the most important one is the coal and gangue separation method based on gamma ray and dual-energy gamma ray detection technology. At present, there are roughly two types of coal and ...

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  • Image recognition method of coal and gangue
  • Image recognition method of coal and gangue

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Embodiment Construction

[0012] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings:

[0013] The image recognition method of coal and gangue of the present invention uses an electronic camera to take digital pictures of coal samples and gangue samples, and performs image processing on the digital pictures of coal samples and gangue samples taken by matrix laboratory computer programming, Unify the picture size and perform median filtering on the picture to eliminate the noise generated in the process of image transmission and conversion; extract 5 characteristic parameters of the gray histogram from the processed coal sample and gangue sample pictures, and analyze the processed The five characteristic parameters of the gray histogram extracted from the coal and gangue images are average value, variance, skewness, kurtosis, and energy; the gray histogram indicates the frequency of a certain gray level in the digital image, showing the image...

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Abstract

An image recognition method of coal and gangue is disclosed. According to differences of gray scales and textures of coal and gangue surfaces, through using a computer image processing technology, 5 characteristic parameters of a gray histogram of coal and gangue images and 11 characteristic parameters of a gray level co-occurrence matrix are extracted respectively, totaling 16 characteristic parameters. A BP neural network algorithm is used to identify the coal and the gangue and process the coal and gangue images. The computer is used to carry out intelligent identification and sorting. In a trained BP neural network, any one of the characteristic parameters extracted from the coal or gangue digit images is input so that an identification result can be obtained from an output layer. The method is beneficial to sort the coal and the gangue. Coal quality can be increased. A recognition rate is high and operation is easy.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a computer-based automatic image recognition method for coal and gangue. Background technique [0002] In the process of coal production and processing, a large amount of gangue will be produced. The traditional separation methods such as dense medium method and jigging method have huge equipment and serious water pollution, which will cause great harm to the health of workers and the environment. Therefore, modern automatic Sorting equipment is very necessary. The premise of manufacturing automatic sorting equipment is to find the significant difference between coal and gangue. Among the currently disclosed separation methods, the most important one is the coal and gangue separation method based on gamma ray and dual-energy gamma ray detection technology. At present, there are roughly two types of coal and gangue separation based on image processing, one One is the recognition me...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06N3/02
Inventor 何亚群贺靖峰梁浩楠苏宝金陈波
Owner CHINA UNIV OF MINING & TECH
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