Extraction method of texture feature of images of coal and gangue
MI Qiang
XU Yan
LIU Bin
XU Yunjie
Abstract：In view of problems of less extraction feature parameters and low recognition precision existed in image processing methods of coal and gangue,an extraction method of texture feature of images of coal and gangue fused with local binary pattern and gray level co-occurrence matrix was proposed.Firstly,the preprocessed images of coal and gangue were transformed into local binary pattern images,then the local binary pattern images were used to generate gray level co-occurrence matrix,the mean value and normalization of those texture features including angular second moment,correlation,contrast and entropy were processed.Finally,support vector machine was used for samples training and recognition results were obtained.The experimental results show that the method can effectively extract the texture feature of images of coal and gangue,and the recognition rates of coal and gangue are respectively 94％ and 96％.
Keywords：coal and gangueimage processingtexture featurelocal binary patterngray level co-occurrence matrixsupport vector machine
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 26-30 )