Coal Gangue Image Identification and Classification with Wavelet Transform

A novel method of the coal gangue identification and classification is introduced, and the coal gangue image process strategy using wavelet transform is proposed to select the coal gangues out from coal bulk on the mining belt transporter in this paper. The identification principle is described, and the automatic selection system is presented, the embedded zero-tree wavelet (EZW) compression coding algorithm is adopted to transfer bit streams of the coal gangue images, the wavelet moment is used to extract the coal gangue image feature. The results of theory analysis and simulation show that the coal gangues are identified and classified from coal bulk with wavelet transform method, which provides the technique foundation for the coal gangue automatic selection system.