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Critical characteristic extraction method for flotation foam image analysis

A foam image and key feature technology, applied in the field of foam feature extraction of light metal flotation, can solve the problems of difficult quantitative description and inconspicuous features of flotation foam.

Inactive Publication Date: 2008-12-31
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the flotation foam features are not obvious and difficult to quantitatively describe, to provide a key feature extraction method for the analysis of the foam image features, and to provide effective information for the image analysis and index prediction of the mineral flotation process

Method used

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  • Critical characteristic extraction method for flotation foam image analysis
  • Critical characteristic extraction method for flotation foam image analysis
  • Critical characteristic extraction method for flotation foam image analysis

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Embodiment 1

[0013] Embodiment 1 foam image analysis system hardware structure such as figure 1 As shown, it is mainly composed of a camera 1, a light source 2, an optical fiber 3, an image acquisition card 4, and a computer 5. The color CCD camera 1 is installed vertically above the flotation tank 7 with a height of 80-120cm and a horizontal distance of 200cm from the foam tank 8. The system light source 2 is a 200W high-frequency fluorescent lamp and the horizontal distance from the camera 1 is 5-10cm. The camera 1 acquires the image of the foam layer 6, digitizes the video signal and converts it into an optical signal, transmits it to the image acquisition card 4 through the optical fiber 3, converts it into a digital image signal in the format of RGB-24bits, and then reads it into the computer 5. The image processing program passes the image The underlying driver interface of the acquisition card 4 acquires the foam image, and the image resolution is 1024×768.

[0014] The specific im...

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PUM

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Abstract

The invention relates to a method used for extracting key characteristics in flotation froth image analysis. The method of the invention establishes a flotation froth image collecting platform, on the basis of acquiring froth images with an industrial camera, extracts color feature corresponding to red intensity and H intensity in RGB and HSV color spaces, combines morphologic operations and a watershed method to segment the froth images and extract size characteristics, calculates froth total reflection points to extract bearing capacity feature and adopts an image block correlation analyzing method to extract froth speed feature. The method of the invention can be used for analysis of flotation froth images and estimation of technological parameters and recovery percent in mineral floating process, thus realizing optimization of floatation production operation and reducing the waste of mineral resources.

Description

[technical field] [0001] The invention relates to an image processing method in the beneficiation process, in particular to a method for extracting key features of flotation froth images, in particular to extracting froth features of light metal flotation. [Background technique] [0002] Flotation is the most widely used beneficiation method in mineral processing, which involves extremely complex physical and chemical processes. For a long time, experienced operators have adjusted the flotation operation by observing the foam characteristics of the flotation tank. However, due to the rotation of operators and the subjectivity of human eye observation, they cannot make accurate judgments on the state of the foam, resulting in the failure of the flotation process. in optimal operating condition. [0003] The environment of the flotation site is harsh, the light is uneven, the size of the foam is small, the bubbles stick together, and even pile up. The edge of the bubble and t...

Claims

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Application Information

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IPC IPC(8): G06K9/46
Inventor 阳春华桂卫华周开军许灿辉唐朝晖刘金平程翠兰
Owner CENT SOUTH UNIV
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