Research on extraction of image gray information and texture features of coal and gangue image

In view of problems of low identification accuracy and efficiency existed in most recognition method of coal and gangue image which only used gray mean and gray variance, an extraction method of gray information and texture features of coal and gangue image was proposed. The representative feature p...

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Main Authors: TAN Chunchao, YANG Jieming
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2017-04-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.04.007
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author TAN Chunchao
YANG Jieming
author_facet TAN Chunchao
YANG Jieming
author_sort TAN Chunchao
collection DOAJ
description In view of problems of low identification accuracy and efficiency existed in most recognition method of coal and gangue image which only used gray mean and gray variance, an extraction method of gray information and texture features of coal and gangue image was proposed. The representative feature parameters such as gray average, smoothness and energy, contrast, correlation, entropy of gray co-occurrence matrix are extracted, which are taken as the important basis for identification of coal and gangue. Matlab simulation results show that the gray information and the texture feature can well describe characteristics of the coal and the gangue image, which can provide an important reference for automatic identification and separation of coal and gangue.
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spelling doaj.art-d1ec999abf57403caf641b9bfbb373c62023-03-17T01:41:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2017-04-01434273110.13272/j.issn.1671-251x.2017.04.007Research on extraction of image gray information and texture features of coal and gangue imageTAN ChunchaoYANG JiemingIn view of problems of low identification accuracy and efficiency existed in most recognition method of coal and gangue image which only used gray mean and gray variance, an extraction method of gray information and texture features of coal and gangue image was proposed. The representative feature parameters such as gray average, smoothness and energy, contrast, correlation, entropy of gray co-occurrence matrix are extracted, which are taken as the important basis for identification of coal and gangue. Matlab simulation results show that the gray information and the texture feature can well describe characteristics of the coal and the gangue image, which can provide an important reference for automatic identification and separation of coal and gangue.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.04.007coal and gangue identificationimage processgray informationtexture featuregray meansmoothnessgray co-occurrence matrixcontrast
spellingShingle TAN Chunchao
YANG Jieming
Research on extraction of image gray information and texture features of coal and gangue image
Gong-kuang zidonghua
coal and gangue identification
image process
gray information
texture feature
gray mean
smoothness
gray co-occurrence matrix
contrast
title Research on extraction of image gray information and texture features of coal and gangue image
title_full Research on extraction of image gray information and texture features of coal and gangue image
title_fullStr Research on extraction of image gray information and texture features of coal and gangue image
title_full_unstemmed Research on extraction of image gray information and texture features of coal and gangue image
title_short Research on extraction of image gray information and texture features of coal and gangue image
title_sort research on extraction of image gray information and texture features of coal and gangue image
topic coal and gangue identification
image process
gray information
texture feature
gray mean
smoothness
gray co-occurrence matrix
contrast
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.04.007
work_keys_str_mv AT tanchunchao researchonextractionofimagegrayinformationandtexturefeaturesofcoalandgangueimage
AT yangjieming researchonextractionofimagegrayinformationandtexturefeaturesofcoalandgangueimage