CN101315669B - Floatation foam image processing method and device - Google Patents
Floatation foam image processing method and device Download PDFInfo
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- CN101315669B CN101315669B CN2008101166901A CN200810116690A CN101315669B CN 101315669 B CN101315669 B CN 101315669B CN 2008101166901 A CN2008101166901 A CN 2008101166901A CN 200810116690 A CN200810116690 A CN 200810116690A CN 101315669 B CN101315669 B CN 101315669B
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Abstract
The embodiment mode of the invention provides a processing method and a device of a flotation froth image, pertaining to the image processing field. The method comprises the steps that: the image is scanned to obtain the grey-scale value of all the pixels of the image; the grey-scale value of all the pixels of the image is compared with a preset grey scale threshold MIN_GRAY to obtain a high light area; the area of all the high light areas is compared with the preset minimum area threshold, and the area larger than the area threshold is a seed area; a plurality of rays are symmetrically transmitted from the geometric center position of the seed area and the grey-scale value change curve diagrams of the pixels in all the rays are obtained, and the edge of the froth is obtained according tothe wave trough positions of the grey-scale value change curve diagrams of all the rays. The embodiment mode of the invention also provides a processing device of the flotation froth image, and the method and the device have the advantages of accurately distinguishing the edge of the froth under the condition of being interrupted by the outside.
Description
Technical field
The present invention relates to image processing and ore dressing field, relate in particular to a kind of disposal route and device of floatation foam image.
Background technology
Be accompanied by the continuous development of technique of preparing, take more and more important position by the ore dressing of handling to floatation foam image.But because floatation foam image does not have fixing background, image definition is poor, and the adhesion of part foam only presents segment boundary, foam edge is unintelligible and irregular, entire image is full of unintelligible and irregular foam, and quantity is very big, and similarity degrees such as area, form and color are higher.So it is very big in numerous foams difficulty to be discerned at the edge of foam.
In order to discern at edge in numerous foams to foam, prior art provides a kind of disposal route of floatation foam image, this method is handled the flotation froth image by dividing ridge method, its basic thought is, pre-determine a gray threshold, obtain the gray-scale value of picture each point then by the scanning picture, gray-scale value and predefined gray threshold with each point compares then, with gray-scale value greater than predefined gray threshold and the each point that is communicated with again be considered as the same area, usually the same area is considered as same foam, the each point identical with this gray threshold is considered as the edge of foam in the same area.
In realizing process of the present invention, the inventor finds prior art, and there are the following problems:
Because dividing ridge method of the prior art is by setting in advance a gray threshold, and the gray-scale value of the each point in the image and this gray threshold compared the edge that obtains foam, and in actual conditions, image is owing to be subjected to the interference of external condition, have under the situation of dust as or camera dark at extraneous light, the gray-scale value of the each point in the image is all lower, if use the gray threshold of setting under the normal condition this moment, will cause foam edge inaccurate, so prior art is vulnerable to the interference of external condition, range of application is less.
Summary of the invention
In view of above-mentioned existing in prior technology problem, embodiment of the present invention provides a kind of disposal route and device of floatation foam image, and described method and apparatus can be subjected to telling the edge of foam accurately under the situation of external interference.
The specific embodiment of the present invention provides a kind of disposal route of floatation foam image, and described method comprises:
Scan image obtains each gray values of pixel points of image;
Each gray values of pixel points and predefined gray threshold MIN_GRAY are relatively obtained highlight regions;
The area and the predefined minimum area of highlight regions are relatively obtained seed region;
Launch many rays from the center symmetry of seed region, and obtain the grey scale change curve map of each bar ray interior pixel, obtain the edge of foam according to the position, the lowest point of the grey scale change curve map of each bar ray.
The specific embodiment of the invention also provides a kind for the treatment of apparatus of floatation foam image, and described device comprises:
Scanning element is used for scan image and obtains each gray values of pixel points of image;
First comparing unit is used for each gray values of pixel points and predefined gray threshold MIN_GRAY are relatively obtained highlight regions;
Second comparing unit is used for the area and the predefined minimum area of highlight regions are relatively obtained seed region;
Curved unit is used for launching many rays from the center symmetry of seed region, and obtains the grey scale change curve map of each bar ray interior pixel;
Drawing unit is used for obtaining according to the position, the lowest point of the grey scale change curve map of each bar ray the edge of foam.
By the above-mentioned technical scheme that provides as can be seen, the technical scheme of the embodiment of the invention obtains each gray values of pixel points of picture by the scanning picture, gray values of pixel points and predefined gray threshold are relatively being obtained highlight regions, relatively obtain seed region at face and predefined minimum area with all highlight regions, launch many rays in center symmetry from seed region, and obtain the histogram of many rays, obtain the edge of foam according to this histogram, thereby can be subjected to telling the edge of foam accurately under the situation of external interference.
Description of drawings
Fig. 1 provides a kind of process flow diagram of disposal route of floatation foam image for the embodiment of the invention 1.
Fig. 2 provides a kind of structural drawing for the treatment of apparatus of floatation foam image for the embodiment of the invention 2.
Fig. 3 is a pixel CP location of pixels graph of a relation in the embodiment of the invention 1.
Embodiment
Embodiment of the present invention provides a kind of disposal route of floatation foam image, this method obtains each gray values of pixel points of image by scan image, each gray values of pixel points and predefined gray threshold (MIN_GRAY) are relatively being obtained highlight regions, the area and the predefined minimum area of all highlight regions are relatively obtained seed region, launch many rays in center symmetry from seed region, and obtain the gray-value variation curve map of each bar ray, obtain the edge of foam according to the gray-value variation curve map of each bar ray.Because the predefined gray threshold among the present invention only is in order to obtain highlight regions, so this gray threshold is only influential to the acquisition of highlight regions, in actual conditions, can be set to 130～150 gray-scale values by gray threshold, the variation of extraneous circumstance is very little to the acquisition influence of highlight regions like this, and in the processing of follow-up acquisition foam edge, it is the edge that obtains foam according to the gray-value variation curve map of each bar ray, the influence of external environment is littler, so image is handled by said method, can be subjected to telling the edge of foam accurately under the situation of external interference.
For the embodiment of this method better is described, now in conjunction with the accompanying drawings this method is elaborated.
Embodiment 1: the specific embodiment of the invention 1 provides a kind of disposal route of floatation foam image.This method may further comprise the steps as shown in Figure 1:
Step 11, scan image obtain each gray values of pixel points of image;
Finish this step method can for, obtain each gray values of pixel points of image by top-down order from left to right.
Step 12, each gray values of pixel points and predefined gray threshold are relatively obtained highlight regions;
The method that realizes this step is specifically as follows, gray values of pixel points and predefined gray threshold are compared, as then can obtaining highlight regions according to following several modes greater than this gray threshold, otherwise next pixel relatively, till all pixels are all finished comparison.
For the convenience of narrating, here hypothesis has the gray-scale value of a pixel CP greater than gray threshold, the CP here only is for convenience and the qualification of carrying out, CP location of pixels graph of a relation as shown in Figure 3, the top left pixel point of its mid point 1 expression CP, the last pixel of point 2 expression CP, the upper right pixel of point 3 expression CP, the left pixel of point 4 expression CP.Because scanning is to obtain each gray values of pixel points of image by top-down order from left to right, so when obtaining the gray-scale value of CP, gray-scale value that also ca n't acquisition point 5,6,7,8 is not so process putting 5,6,7,8 here.
Mode A, as fruit dot 1,2,3,4 gray-scale values are then set up new highlight regions all less than MIN_GRAY, and definite CP is the edge pixel point of new highlight regions;
Mode B, as fruit dot 1,2, have one or several point to belong to highlight regions in 3,4, and only belong to same highlight regions, then add some CP in same highlight regions;
Mode C, as fruit dot 1 or put 4 and belong to highlight regions A, and put 3 and belong to highlight regions B, less than MIN_GRAY, then merge highlight regions A and B with time point 2 gray-scale values, be about to highlight regions A and B and merge and becomes a new highlight regions C.
Step 13, the area and the minimum area MIN_AREA of the highlight regions that obtains compared, then be labeled as seed region as the area of highlight regions greater than MIN_AREA, otherwise be noise region.
MIN_AREA in this step can set according to actual conditions, and the specific embodiment of the invention does not limit the concrete numerical value of MIN_AREA.
Step 14, launch many rays, and obtain the gray-value variation curve map of each bar ray from the center symmetry of seed region;
Realize this step method can for, find out the center of seed region according to the coordinate of seed region, symmetry is launched many rays then, according to actual conditions, can launch 8,16,24,32 etc., generally determine the bar number according to the size of seed region area, the area of seed region is big more, and the bar number of emission line is many more.Obtain the gray values of pixel points of each bar ray process, and draw the gray-value variation curve map of each bar ray according to the gray-scale value that obtains.
Step 15, obtain the edge of foam according to the gray-value variation curve map of each bar ray.
The method that realizes this step is,
Step 151, find out first trough of the curve map of each bar ray according to the gray-value variation curve map, the pixel of first trough correspondence is the intersection point of each bar ray and foam edge;
Step 152, the intersection point of each bar ray and foam edge is coupled together the edge that just obtains foam.
Optionally, above-mentioned steps 15 can also be finished by following step:
Step 153, after carrying out above-mentioned steps 151, obtain the length value of each bar line segment, this each bar line segment has common end points seed region geometric center position, the non-common end points of this each bar line segment can be the pixel of first trough correspondence of each bar ray.
Step 154, each bar line segment is carried out packet transaction, and obtain the intermediate value of respectively organizing line segment.
Realize this step method can for, the length of every line segment is determined that by one group of line segment one group of line segment comprises some the line segments that line segment self is adjacent with its left and right sides.
Line segment length in the arrangement group obtains intermediate value, and this intermediate value can be the mean value of one group of line segment length, also can be for being positioned at the line segment length value of intermediate length in one group of line segment length.
One group in this step can be 3,5,7 line segments, can certainly certainly in actual conditions, be the mean value of one group of line segment length as above-mentioned intermediate value for other odd number bar number, and the bar number of one group of line segment also can be even number.
Illustrate with an example below, suppose to have one group of line segment that 5 line segments are arranged, the length of each bar line segment is respectively, 3cm, 5cm, 6cm, 8cm, 9cm are that mean value then is 6.2cm as intermediate value, as intermediate value is the line segment length value that is positioned at intermediate length in one group of line segment length, then for length value is the 3rd long line segment value, i.e. the 3rd line segment value, 6cm.
Step 155, the length value of line segment and the intermediate value of this group length are compared, surpass setting range, then the length adjustment of this line segment is organized intermediate value to this, do not surpass, then keep raw footage as error as error.This error comprises overgauge and minus deviation.
This setting range can confirm according to actual conditions, and as 10%, 15%, 20% etc., the specific embodiment of the invention is not limited to the concrete numerical value of this scope.
Step 156, the non-common end points of each line segment is coupled together, be the edge of foam.
Optionally, said method can also comprise the steps: before carry out step 14
The area of step 131, more adjacent two seed regions differs multiple more than 3 times as area, then carries out following step, otherwise end operation;
Step 132, obtain the bee-line between adjacent two seed regions;
Step 133, the horizontal or longitudinal length of seed region that the bee-line and the area that obtain is less, if bee-line is less than or equal to the smaller length in above-mentioned lateral length and the longitudinal length, then that this area is less seed region is labeled as noise region.
Said method can be differentiated noise region, thereby has avoided obtaining the noise foam owing to the existence of noise region.
The embodiment of the invention 1 obtains each gray values of pixel points of image by scan image, each gray values of pixel points and predefined gray threshold (MIN_GRAY) are relatively being obtained highlight regions, the area and the predefined minimum area of all highlight regions are relatively obtained seed region, launch many rays in geometric center position symmetry from seed region, and obtain the gray-value variation curve map of each bar ray, obtain the edge of foam according to the gray-value variation curve map of each bar ray.Thereby can be subjected to telling the edge of foam accurately under the situation of external interference, and can differentiate noise region.
The embodiment of the invention provides a kind for the treatment of apparatus of floatation foam image, and this installs as shown in Figure 2, comprising: scanning element 21 is used for scan image and obtains each gray values of pixel points of image; First comparing unit 22 is used for each gray values of pixel points and predefined gray threshold MIN_GRAY are relatively obtained highlight regions; Second comparing unit 23 is used for the area and the predefined minimum area of highlight regions are relatively obtained seed region; Curved unit 24 is used for launching many rays from the center symmetry of seed region, and obtains the grey scale change curve map of each bar ray interior pixel; Drawing unit 25 is used for obtaining according to the position, the lowest point of the grey scale change curve map of each bar ray the edge of foam.Above-mentioned first comparing unit 22 and second comparing unit 23 also can be merged into a unit, and the implementation method that each gray values of pixel points and predefined gray threshold MIN_GRAY is relatively obtained highlight regions in first comparing unit 22 can be referring to the associated description among the embodiment 1.
Above-mentioned drawing unit 25 can comprise:
Search module 251, be used for finding out according to the gray-value variation curve map first trough of the curve map of each bar ray, the pixel of described first trough correspondence is the intersection point of each bar ray and foam edge;
Above-mentioned drawing unit 25 can also comprise any in the following configuration:
Configuration 1: link block 252 is used for intersection point with each bar ray and foam edge and couples together the edge that just obtains foam.
Configuration 2: line segment module 253, be used to obtain the length value of each bar line segment, described each bar line segment has common end points, the geometric center position that described common end points is a seed region, the non-common end points of described each bar line segment can be the pixel of first trough correspondence of the curve map of each bar ray;
Grouping module 254 is used for each bar line segment is divided into groups, and obtains the intermediate value of respectively organizing line segment;
Prune module 255, be used for the intermediate value of line segment length with described group compared, surpass setting range, then will exceed length adjustment described group the intermediate value extremely of the line segment of error, as not have, then keep raw footage as error;
Edge module 256 is used for non-common end points with each line segment and couples together the edge that obtains foam.
The embodiment of the invention 2 obtains each gray values of pixel points of image by scanning element 21 scan images, by first comparing unit 22 each gray values of pixel points and predefined gray threshold (MIN_GRAY) are relatively being obtained highlight regions, by second comparing unit 23 area and the predefined minimum area of all highlight regions relatively obtained seed region, launching many rays by curved unit 24 from the geometric center position symmetry of seed region, and obtaining the gray-value variation curve map of each bar ray, drawing unit 25 obtains the edge of foam according to the gray-value variation curve map of each bar ray.Thereby can be subjected to telling the edge of foam accurately under the situation of external interference.
It will be appreciated by those skilled in the art that accompanying drawing is the synoptic diagram of a preferred embodiment, unit in the accompanying drawing or flow process might not be that enforcement the present invention is necessary.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method can instruct relevant hardware to finish by program, described program can be stored in a kind of computer-readable recording medium, this program comprises one of step or its combination of method embodiment when carrying out.
In addition, each functional unit in each embodiment of the present invention can be integrated in the processing unit, also can be that the independent physics in each unit exists, and also can be integrated in the module two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, also can adopt the form of software function module to realize.If described integrated module realizes with the form of software function module and during as independently production marketing or use, also can be stored in the computer read/write memory medium.
The above-mentioned storage medium of mentioning can be a ROM (read-only memory), disk or CD etc.
In sum, the technical scheme that the specific embodiment of the invention provides has and can be subjected to telling the edge of foam accurately under the situation of external interference, and can differentiate the advantage of noise region.
The above; only be the preferable embodiment of the present invention; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the embodiment of the invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (8)
1. the disposal route of a floatation foam image is characterized in that, described method comprises:
Scan image obtains each gray values of pixel points of image;
Each gray values of pixel points and predefined gray threshold MIN_GRAY are relatively obtained highlight regions;
The area and the predefined minimum area of highlight regions are relatively obtained seed region;
Launch many rays from the center symmetry of seed region, and obtain the grey scale change curve map of each bar ray interior pixel, obtain the edge of foam according to the position, the lowest point of the grey scale change curve map of each bar ray.
2. method according to claim 1 is characterized in that, describedly each gray values of pixel points and predefined gray threshold are relatively obtained highlight regions comprises:
Gray values of pixel points and predefined gray threshold are compared, as greater than as described in gray threshold then obtain highlight regions, otherwise next pixel relatively according to following several modes;
If the top left pixel of mode A pixel point, go up pixel, upper right pixel and left gray values of pixel points, then set up new highlight regions, and determine that described pixel is the edge pixel point of new highlight regions all less than MIN_GRAY;
If have one or several point to belong to highlight regions in the top left pixel of mode B pixel point, last pixel, upper right pixel and the left pixel, and only belong to same highlight regions, then add described pixel in same highlight regions;
If the top left pixel point of mode C pixel or left pixel belong to highlight regions A, and upper right pixel belongs to highlight regions B, goes up the pixel gray-scale value simultaneously less than MIN_GRAY, then merges highlight regions A and B.
3. method according to claim 1 is characterized in that, the edge that obtains foam according to the grey scale change curve map of each bar ray comprises:
Find out first trough of the curve map of each bar ray according to the grey scale change curve map, the pixel of described first trough correspondence is the intersection point of each bar ray and foam edge; The intersection point of each bar ray and foam edge is coupled together the edge that just obtains foam.
4. method according to claim 1 is characterized in that, the edge that obtains foam according to the grey scale change curve map of each bar ray comprises:
Find out first trough of the curve map of each bar ray according to the grey scale change curve map, the pixel of first trough correspondence is the intersection point of each bar ray and foam edge;
Obtain the length value of each bar line segment, described each bar line segment has common end points, and described common end points is the geometric center position of seed region, and the non-common end points of described each bar line segment is the pixel of first trough correspondence of the curve map of each bar ray;
Described each bar line segment is divided into groups, and obtain the intermediate value of respectively organizing line segment; Described intermediate value is the mean value of each group line segment length, perhaps for being positioned at the line segment length value of intermediate length in each group line segment length;
The length value of described each bar line segment and the intermediate value of its place group are compared, surpass setting range as error, the length adjustment of line segment that then will exceed error is to the intermediate value of its place group, as do not have, and then keeps raw footage;
The non-common end points of each line segment is coupled together the edge that obtains foam.
5. method according to claim 1 is characterized in that, described method is before carrying out launching many rays from the center symmetry of seed region, and described method also comprises:
The area of more adjacent two seed regions differs multiple more than 3 times as area, then carries out following operation, otherwise end operation;
Obtain the bee-line between adjacent two seed regions; Horizontal or the longitudinal length of the seed region that the bee-line that obtains and area is less compares, as described bee-line be less than or equal to laterally, the smaller length in the longitudinal length, then that this area is less seed region is labeled as noise region.
6. the treating apparatus of a floatation foam image is characterized in that, described device comprises:
Scanning element is used for scan image and obtains each gray values of pixel points of image;
First comparing unit is used for each gray values of pixel points and predefined gray threshold MIN_GRAY are relatively obtained highlight regions;
Second comparing unit is used for the area and the predefined minimum area of highlight regions are relatively obtained seed region;
Curved unit is used for launching many rays from the center symmetry of seed region, and obtains the grey scale change curve map of each bar ray interior pixel;
Drawing unit is used for obtaining according to the position, the lowest point of the grey scale change curve map of each bar ray the edge of foam.
7. method according to claim 6 is characterized in that, described drawing unit comprises:
Search module, be used for finding out according to the grey scale change curve map first trough of the curve map of each bar ray, the pixel of described first trough correspondence is the intersection point of each bar ray and foam edge;
Link block is used for intersection point with each bar ray and foam edge and couples together the edge that just obtains foam.
8. method according to claim 6 is characterized in that, described drawing unit comprises:
Search module, be used for finding out according to the grey scale change curve map first trough of the curve map of each bar ray, the pixel of described first trough correspondence is the intersection point of each bar ray and foam edge;
The line segment module, be used to obtain the length value of each bar line segment, described each bar line segment has common end points, and described common end points is the geometric center position of seed region, and the non-common end points of described each bar line segment is the pixel of first trough correspondence of the curve map of each bar ray;
Grouping module is used for described each bar line segment is divided into groups, and obtains the intermediate value of respectively organizing line segment; Described intermediate value is the mean value of each group line segment length, perhaps for being positioned at the line segment length value of intermediate length in each group line segment length;
Prune module, be used for the length value of described each bar line segment and the intermediate value of its place group are compared, above setting range, the length adjustment of line segment that then will exceed error is to the intermediate value of its place group as error, as do not have, and then keeps raw footage;
Edge module is used for non-common end points with each line segment and couples together the edge that obtains foam.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2008101166901A CN101315669B (en) | 2008-07-15 | 2008-07-15 | Floatation foam image processing method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101166901A CN101315669B (en) | 2008-07-15 | 2008-07-15 | Floatation foam image processing method and device |
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| CN101315669A CN101315669A (en) | 2008-12-03 |
| CN101315669B true CN101315669B (en) | 2010-07-07 |
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102800051B (en) * | 2012-03-28 | 2015-05-06 | 中南大学 | Self-adaptation flotation froth image enhancement method based on fractional order differential |
| CN102680050B (en) * | 2012-04-24 | 2014-03-05 | 中南大学 | Sulfur flotation liquid level measuring method based on foam image characteristic and air volume |
| CN103530653B (en) * | 2013-10-28 | 2017-05-03 | 中国矿业大学(北京) | Flotation froth tracking method and device |
| CN106156758B (en) * | 2016-07-29 | 2019-08-13 | 辽宁工程技术大学 | A kind of tidal saltmarsh method in SAR seashore image |
| WO2019088259A1 (en) * | 2017-11-06 | 2019-05-09 | Hoya株式会社 | Processor for electronic endoscope, and electronic endoscope system |
| CN109272548B (en) * | 2018-09-28 | 2021-09-28 | 北京拓金科技有限公司 | Method for measuring diameter of bubbles in flotation process |
| CN109685733B (en) * | 2018-12-20 | 2023-06-23 | 湖南师范大学 | Lead-zinc flotation foam image space-time combined denoising method based on bubble motion stability analysis |
| CN110738271B (en) * | 2019-07-13 | 2021-04-30 | 中南大学 | Concentrate grade prediction method in zinc flotation process |
| CN110728253B (en) * | 2019-07-22 | 2021-03-02 | 中南大学 | Texture feature measurement method based on particle roughness |
| CN110441714B (en) * | 2019-07-31 | 2023-03-14 | Tcl王牌电器(惠州)有限公司 | Method and device for detecting indicator light and computer readable storage medium |
| CN115546536A (en) * | 2022-09-22 | 2022-12-30 | 南京森林警察学院 | Ivory product identification method and system |
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