基于灰度和纹理的煤与矸石特征提取研究

Based on Gray and Texture Feature Extraction of Coal and Gangue Study

探讨煤与矸石图像在灰度与纹理上的异同,应用图像处理技术对煤与矸石图像进行预处理、图像分割,采用灰度特征和纹理特征相结合的方法进行特征提取,并在Matlab上仿真实现。研究结果表明灰度和纹理能有效的描述煤与矸石的特征,具有较好的鉴别能力,可为煤与矸石的识别和分选提供参考依据。

Discusses coal and gangue image in gray and texture on the similarities and differences, the application of image processing technology for coal and gangue image preprocessing, image segmentation, adopt the method of combining the gray feature and texture feature for feature extraction,and the simulation on Matlab implementation. Research results show that the gray and texture can effectively describe the characteristics of coal and gangue, has good identification ability, can provide reference for identification and classification of coal and gangue.