Flotation foam working condition identification method based on co-occurrence augmentation matrix in dual-tree complex wavelet domain

Abstract

The invention belongs to the technical field of flotation foam industrial ore identification, in particular to a flotation foam working condition identification method based on a co-occurrence augmentation matrix in a dual-tree complex wavelet domain. The method comprises the following steps: carrying out dual-tree complex wavelet transform on an image to extract high-low frequency sub-images of the image; carrying out calculation of a gray level co-occurrence augmentation matrix of each subimage based on the dual-tree complex wavelet transform; calculating eigenvalues of each augmented matrix; building the identification model of flotation industry and ore; taking the eigenvalues of augmented matrix as input eigenvectors of the flotation identification model to identify flotation conditions. The method can accurately and quickly realize the working condition identification of the flotation foam image, avoids the subjectivity and randomness of the manual observation, provides the possibility for the optimization control of the flotation production, ensures the economic benefit and production efficiency of the enterprise, and guarantees the sustainable development of the mineral resources.

Description

technical field [0001] The invention belongs to the technical field of flotation foam industrial and mining identification, and in particular relates to a flotation foam working condition identification method based on a double-tree complex wavelet domain co-occurrence augmentation matrix. Background technique [0002] Metal mineral resources represented by copper are the lifeblood of the economic development of all countries in the world. With the rapid development of the national economy, my country's dependence on copper mines has increased year by year. In recent years, my country's copper consumption has ranked first in the world, accounting for almost half of the world's total copper consumption. However, my country's copper ore resources are scarce, with the characteristics of less rich ore, more lean ore, small scale of deposits, and scattered mining areas. Minerals that have been listed in my country's mineral resources in short supply for many years need to be impo...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the existing technical problems, the present invention provides a flotation foam working condition identification method based on the double-tree complex wavelet domain co-occurrence augmented matrix, which can solve the problems in the flotation field production process caused by manual operation in the prior art. Stability, index fluctuations and other issues

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