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

A dual-tree complex wavelet and augmented matrix technology, applied in image enhancement, image analysis, instruments, etc., can solve problems such as index fluctuations, unstable production processes in flotation sites, etc., achieve optimal control, overcome subjectivity and arbitrariness , To ensure the effect of production efficiency and economic benefits

Active Publication Date: 2021-09-28
NORTHEASTERN UNIV LIAONING
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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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  • Flotation froth working condition identification method based on co-occurrence augmented matrix in dual-tree complex wavelet domain
  • Flotation froth working condition identification method based on co-occurrence augmented matrix in dual-tree complex wavelet domain
  • Flotation froth working condition identification method based on co-occurrence augmented matrix in dual-tree complex wavelet domain

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[0128] Standard SVM has been widely used in various fields, but it has two limitations. One is that the selection of the kernel function and its parameters is mainly based on manual attempts, and there is no clear and unified method, so the selection process is quite cumbersome; the other is that the processing effect of single-core SVM is not ideal for the characteristic data that obeys different distribution characteristics. The number of texture features extracted by the present invention is large, and different features may have different distribution characteristics. Therefore, a MultiKernel Support Vector Machine (MultipleKernel Support Vector Machine, referred to as MKL-SVM) can be used to identify the flotation conditions. The principle is to use a linear combination of multiple basic kernel functions to replace a single kernel function in a standard support vector machine, which can avoid the burden of selecting kernel functions and their parameters, and can also be we...

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Abstract

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. The method includes performing dual-tree complex wavelet transform on the image to extract the high and low frequency subgraphs of the image; calculating the gray level co-occurrence augmented matrix of each subgraph based on the dual-tree complex wavelet transform; calculating the eigenvalues ​​of each augmented matrix; Industrial and mining identification model; the eigenvalues ​​of the augmented matrix are used as input feature vectors of the flotation industrial and mining identification model for identification of flotation working conditions. The invention can accurately and quickly realize the working condition recognition of the flotation foam image, avoid the subjectivity and arbitrariness of manual observation, provide the possibility for the optimization control of flotation production, ensure the economic benefits and production efficiency of the enterprise, and ensure the Sustainable development of 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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/42
CPCG06T7/0004G06T2207/20064G06T2207/20081G06T2207/30136G06T7/136G06T7/42
Inventor 王姝李怡常玉清王福利邹筱瑜于丰
Owner NORTHEASTERN UNIV LIAONING
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