CN110490879A - A kind of flotation tailing foam size determination method based on bright spot distance - Google Patents
A kind of flotation tailing foam size determination method based on bright spot distance Download PDFInfo
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- CN110490879A CN110490879A CN201910743950.6A CN201910743950A CN110490879A CN 110490879 A CN110490879 A CN 110490879A CN 201910743950 A CN201910743950 A CN 201910743950A CN 110490879 A CN110490879 A CN 110490879A
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Abstract
The present invention discloses a kind of flotation tailing foam size determination method based on bright spot distance, belong to flotation tailing froth images processing technology field, it is target image that this method, which obtains flotation tailing froth images first and intercepts the rectangular area that foam is most intensive in picture, then binary conversion treatment is carried out to target image, obtain image bright spot position, calculate and record each bright spot to adjacent bright spot distance average value, foam size is obtained, the foam in target image is divided by large, medium and small three grades according to size value.This method solve existing foam size determination method is higher to froth images quality requirement, and flotation site condition poor the problem of can not accurately determining foam size, there is wider application.
Description
Technical field
The present invention relates to flotation tailing froth images processing technology field more particularly to a kind of flotation based on bright spot distance
Tailing foam size determination method.
Background technique
Floatation process is the continuous complex industrial mistake of a kind of strong nonlinearity, strong coupling, large time delay multiple-input and multiple-output
Journey, there are a large amount of uncertain informations and diversified mass data, so that traditional control method and modern control theory incapability are
Power, the problem for having its inevitable again using traditional sensing system identification flotation state.Flotation state recognition at present exists
Following relatively distinct issues: (1) detection device is expensive, and installation maintenance cost is high；(2) site environment is badly changeable,
It is difficult to ensure the stability and reliability of detection device；(3) practical and effective identification model research lag.Due to flotation froth figure
It, can be image for the problems in floatation of iron ore with industrial floatation process close relation as can reflect flotation state
Processing technique is introduced into floatation process control, establishes the flotation state recognition system based on image procossing.And image procossing has it
The advantage of itself: compared with the equipment such as current-carrying analyzer, price is very cheap, and maintenance cost is low, and characteristics of image represents
Flotation state, real-time are easy to get guarantee.
The determination method of flotation froth size is mostly and uses watershed algorithm to carry out feature to froth images edge to mention at present
It takes, edge reconstruction further is carried out to image, this method is very high to image quality requirements, applies in iron ore reverse flotation tailing
Ideal effect is hardly resulted on froth images, brings very big difficulty for subsequent grade prediction work.
Summary of the invention
In view of the above shortcomings of the prior art, the present invention provides a kind of flotation tailing foam size based on bright spot distance and sentences
Determine method.
In order to solve the above technical problems, the technical solution used in the present invention is: a kind of flotation tail based on bright spot distance
Mine foam size determination method, the process of this method is as shown in Figure 1, include the following steps:
Step 1: obtaining flotation tailing froth images and intercept the rectangular area that foam is most intensive in picture, be normally at figure
Piece center；
Step 2: binary conversion treatment being carried out to image target area, obtains image bright spot position；
Step 2.1: the image target area of selection is subjected to gray proces；
Step 2.2: the upper limit threshold a and lower threshold b of gray value are set；
Step 2.3: the pixel for being greater than the pixel of upper limit threshold a in image being set as 1, less than the pixel of lower threshold b
The pixel of point is set as 0, obtains binary grayscale image.
Step 3: calculating and record each bright spot to the average value of adjacent bright spot distance, as foam size；
Step 3.1: rectangular coordinate system being established as origin using the lower left corner of target area, as unit of pixel, gives target area
Enclose coordinate value in the center of all bright spots in domain；
Step 3.2: selecting one of bright spot, take its upper and lower, left and right, upper left, upper right, lower-left, most 8 of bottom right
Bright spot is adjacent bright spot；
Step 3.3: the average value of calculating adjacent bright dot center to the bright spot center；
Step 3.4: repeating step 3.2 to step 3.3 until traversing bright spot all in target image.
Step 4: foam size maximum value being denoted as v, the one third of v value is l, and 2/3rds be h；
Step 5: foam size is denoted as another typical material lower than l value, is denoted as macrofoam greater than h value, remaining is denoted as middle foam,
It counts all size bubbles numbers and exports.
The beneficial effects of adopting the technical scheme are that provided by the invention a kind of floating based on bright spot distance
Tailing foam size determination method is selected, can determine the big of foam according to the distance between froth images bright spot and other bright spots
It is small.Since when acquiring floatation foam image, light source position is often fixation, lead to occur reflective phenomenon at foam tip,
Therefore the position of bright spot is exactly the position of foam tip in image.Calculating bright spot can be steeped at a distance from other bright spots
The radius of foam.Requirement of this method compared with the method reconstructed using watershed algorithm and image border, to picture quality
It is not high, there is wider application.
Detailed description of the invention
Fig. 1 is a kind of flotation tailing foam size determination method flow chart based on bright spot distance of the present invention；
Fig. 2 is the flotation tailing froth images obtained in the embodiment of the present invention；
Fig. 3 is the target area intercepted in the embodiment of the present invention；
Fig. 4 is to carry out the binary grayscale image that binary conversion treatment obtains to target area in the embodiment of the present invention；
Fig. 5 be the embodiment of the present invention in by taking a certain bright spot center as an example, calculate the distance between itself and adjacent bright dot center
Schematic diagram.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
As shown in Figure 1, the method for the present embodiment is as described below.
Step 1: flotation tailing froth images are obtained, as shown in Fig. 2, the most intensive rectangular area of foam in interception picture,
As shown in Figure 3；
Step 2: binary conversion treatment being carried out to image target area, obtains image bright spot position；
Step 2.1: the image target area of selection is subjected to gray proces；
Step 2.2: upper limit threshold a=250, the lower threshold b=30 of gray value are set；
Step 2.3: the pixel for being greater than the pixel of upper limit threshold 250 in image being set as 1, less than the picture of lower threshold 30
The pixel of vegetarian refreshments is set as 0, and it is as shown in Figure 4 to obtain binary grayscale image.
Step 3: calculating and record each bright spot to the average value of adjacent bright spot distance, as foam size；
Step 3.1: rectangular coordinate system being established as origin using the lower left corner of target area, as unit of pixel, gives target area
Enclose coordinate value in the center of all bright spots in domain；
Step 3.2: selecting one of bright spot, take its upper and lower, left and right, upper left, upper right, lower-left, most 8 of bottom right
Bright spot is adjacent bright spot, and schematic diagram is as shown in Figure 5；
Step 3.3: the average value of calculating adjacent bright dot center to the bright spot center；
Step 3.4: repeating step 3.2 to step 3.3 until traversing bright spot all in target image.
Step 4: foam size maximum value being denoted as v, the one third of v value is l, and 2/3rds be h；It is computed, v value is
30 pixels, l value are 10 pixels, and h value is 20 pixels；
Step 5: foam size is denoted as another typical material lower than 10 pixels, is denoted as macrofoam greater than 20 pixels, remaining is denoted as
Middle foam counts all size bubbles numbers and exports, and statistical result is as shown in table 1.
Foam size statistical form in 1 target image of table
By calculating the ratio of another typical material, middle foam, macrofoam in the floatation foam image that the present embodiment obtains, reflect
Floatation of iron ore state provides theoretical foundation for the researcher of the technical field.
Claims (4)
1. a kind of flotation tailing foam size determination method based on bright spot distance, which comprises the steps of:
Step 1: obtaining flotation tailing froth images and intercept appropriate area；
Step 2: binary conversion treatment being carried out to image target area, obtains image bright spot position；
Step 3: calculating and record each bright spot to the average value of adjacent bright spot distance, as foam size；
Step 4: foam size maximum value being denoted as v, the one third of v value is l, and 2/3rds be h；
Step 5: foam size is denoted as another typical material lower than l value, is denoted as macrofoam greater than h value, remaining is denoted as middle foam, statistics
All size bubbles numbers simultaneously export.
2. a kind of flotation tailing foam size determination method based on bright spot distance according to claim 1, feature exist
In: it is the rectangular area that foam is most intensive in picture that appropriate area is intercepted in the step 1, is normally at picture center.
3. a kind of flotation tailing foam size determination method based on bright spot distance according to claim 1, feature exist
In: in the step 2, the process for carrying out binary conversion treatment to image target area is as follows:
Step 2.1: the image target area of selection is subjected to gray proces；
Step 2.2: the upper limit threshold a and lower threshold b of gray value are set；
Step 2.3: the pixel for being greater than the pixel of upper limit threshold a in image is set as 1, the pixel less than lower threshold b
Pixel is set as 0, obtains binary grayscale image.
4. a kind of flotation tailing foam size determination method based on bright spot distance according to claim 1, feature exist
In: in the step 3, calculate and record each bright spot to adjacent bright spot distance average value process it is as follows:
Step 3.1: rectangular coordinate system being established as origin using the lower left corner of target area, as unit of pixel, in target area
The centers of all bright spots enclose coordinate value；
Step 3.2: selecting one of bright spot, take its upper and lower, left and right, upper left, upper right, lower-left, most 8 bright spots in bottom right
For adjacent bright spot；
Step 3.3: the average value of calculating adjacent bright dot center to the bright spot center；
Step 3.4: repeating step 3.2 to step 3.3 until traversing bright spot all in target image.
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Citations (5)
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|---|---|---|---|---|
| CN101036904A (en) * | 2007-04-30 | 2007-09-19 | 中南大学 | Flotation froth image recognition device based on machine vision and the mine concentration grade forecast method |
| CN102737246A (en) * | 2012-06-14 | 2012-10-17 | 公安部天津消防研究所 | Canny operator-based foam boundary recognition and grain size analysis method |
| CN104268600A (en) * | 2014-03-11 | 2015-01-07 | 中南大学 | Mineral flotation froth image texture analysis and working condition identification method based on Minkowski distance |
| WO2018017837A1 (en) * | 2016-07-20 | 2018-01-25 | The Regents Of The University Of California | Naturally sourced chitin foam |
| CN109272548A (en) * | 2018-09-28 | 2019-01-25 | 北京拓金科技有限公司 | A kind of measurement method of floatation process bubble diameter |
-
2019
- 2019-08-13 CN CN201910743950.6A patent/CN110490879B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101036904A (en) * | 2007-04-30 | 2007-09-19 | 中南大学 | Flotation froth image recognition device based on machine vision and the mine concentration grade forecast method |
| CN102737246A (en) * | 2012-06-14 | 2012-10-17 | 公安部天津消防研究所 | Canny operator-based foam boundary recognition and grain size analysis method |
| CN104268600A (en) * | 2014-03-11 | 2015-01-07 | 中南大学 | Mineral flotation froth image texture analysis and working condition identification method based on Minkowski distance |
| WO2018017837A1 (en) * | 2016-07-20 | 2018-01-25 | The Regents Of The University Of California | Naturally sourced chitin foam |
| CN109272548A (en) * | 2018-09-28 | 2019-01-25 | 北京拓金科技有限公司 | A kind of measurement method of floatation process bubble diameter |
Non-Patent Citations (1)
| Title |
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| 宁哲: "基于图像处理的浮选泡沫特征分析与应用", 《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》 * |
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