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A Method for Evaluating Surface Quality of Flotation

A surface quality and evaluation method technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of particularity and complexity of flotation images, difficulty in obtaining results, etc.

Inactive Publication Date: 2020-12-18
CHANGAN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing flotation image segmentation algorithms are difficult to obtain satisfactory results, the fundamental reason is that compared with general images, flotation images have their particularity and complexity

Method used

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  • A Method for Evaluating Surface Quality of Flotation
  • A Method for Evaluating Surface Quality of Flotation
  • A Method for Evaluating Surface Quality of Flotation

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] Embodiments of the present invention provide a real-time, simple and fast method for evaluating the surface quality of flotation, such as figure 1 As shown, the method includes the following steps:

[0058] Step 1, input a dynamic floating image f(x,y) RGB :

[0059] Generally speaking, in order to obtain images in real time for a long time, an ordinary CCD camera is set up above the flotation tank to obtain dynamic images of the flotation surface, in...

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Abstract

The invention belongs to the field of froth flotation quality evaluation, and discloses a method for evaluating flotation surface quality. By inputting a flotation image; performing a conditional boundary scan operation to obtain a gradient image; calculating the average gradient value and variance of the gradient image; judging the flotation Whether it belongs to large and medium bubbles or small bubbles and viscous state; if it belongs to the state of large and medium bubbles, perform dynamic Otsu threshold processing, according to the average gray value of the binary image and the second gray threshold and binary value The relative standard deviation of the image and the second relative standard deviation threshold to distinguish the large bubble state and the medium bubble state, otherwise it belongs to the fine bubble and viscous state, and will be based on the average gradient value of the result gradient image and the third gradient threshold value, binary image The relative standard deviation and the third relative standard deviation threshold and the average gray value of the binary image and the third gray threshold are used to distinguish the state of fine bubbles and the viscous state; the statistics of the number of four types of images are used to judge the status of flotation production good or bad.

Description

technical field [0001] The invention belongs to the field of foam flotation quality evaluation, in particular to an evaluation method of flotation surface quality, which is suitable for on-line detection and analysis of engineering surfaces without background and dynamic changes. Background technique [0002] Froth flotation is a selective separation process widely used in mineral processing to extract useful minerals. At present, many flotation plants control the flotation process by observing the appearance characteristics of the flotation foam with naked eyes. Therefore, the performance of flotation depends on the experience of engineers to a large extent, and the randomness of manual measurement also greatly limits the efficiency of flotation. Therefore, people began to use machine vision and image processing technology to analyze and process foam images, such as for the extraction of physical characteristics such as bubble size. [0003] Bubble size is the two key phy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/13
CPCG06T7/0004G06T2207/10024G06T7/11G06T7/13G06T7/136
Inventor 王卫星
Owner CHANGAN UNIV
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