Multi-scale neighboring dependence matrix-based method for extracting froth image texture characteristics

The invention discloses a multi-scale neighboring dependence matrix-based method for extracting froth image texture characteristics. The method comprises the steps of firstly, performing wavelet transform on a froth gray level image; then, performing gray level mapping on wavelet approximating sub-image coefficients with different scales respectively; finally, statistically acquiring a new multi-scale texture characteristic for reflecting a froth image gray level change frequency statistical law according to a neighboring gray level dependence matrix, wherein the characteristic has relatively high robustness for reflecting a copper floatation production running state and divisibility suitable for working condition identification. According to the acquired texture characteristic, the froth images of different working conditions can be separated to achieve an aim of effectively identifying working conditions, and then operation guidance is provided for optimal control of floatation production.