CN111257318A - Representing method for surface coating effect of slashing and slashing evenness image acquisition device - Google Patents
Representing method for surface coating effect of slashing and slashing evenness image acquisition device Download PDFInfo
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Abstract
The invention relates to a representing method of slashing surface coating effect and a slashing line dry image acquisition device, wherein the method comprises slashing color development, slashing line dry image acquisition, image data processing and calculation, and the acquisition device comprises a solution tank, a lead-in roller, a lead-out roller and a super-depth-of-field microscope. The invention obtains the coating coefficient, the coating depth and the coating irregularity which can evaluate the coating effect of the surface of the sizing by obtaining and analyzing the sizing evenness image so as to evaluate the coating effect of the surface of the sizing, and can be applied to dynamically monitoring the sizing effect in the sizing process.
Description
The technical field is as follows:
the invention belongs to the technical field of textile sizing, and relates to a sizing surface coating effect characterization method and a sizing evenness image acquisition device.
Background art:
the slashing covering amount is an important index for evaluating the slashing quality, different yarns have different requirements on covering of slashing, and the slashing is seriously influenced by improper covering amount. The coating is less, the sizing is easy to cause light sizing and fluffing, the weaving machine can not be cleaned, the broken ends of the warp yarns are increased, the coating is more, the surface sizing is easy to form, the elasticity of the yarns is reduced, the elongation reducing rate is increased, and the sizing and brittle broken ends are generated during weaving. Therefore, the coating amount is reasonably controlled in the sizing process.
At present, a Ha's slicer is commonly used to obtain slashing slices, the penetration and coating conditions of slashing are observed by instruments such as a biological microscope, a fiber projector, a video microscope and the like, and the coating and the penetration rate of the slashing are calculated according to the graphs of the cross section of the slashing, or the image processing technology is utilized to perform mathematical morphology operation on the slashing section images to obtain the coating and the penetration rate of the slashing. However, the yarn section intercepted by the slicing method is too small to represent the quality of the whole sizing section, the operation process is easily influenced by human factors, the integrity of the sizing film on the surface of the sizing is easily damaged in the slicing process, the accuracy is reduced, the operation is complicated and time-consuming, and the repeatability is poor. And the common optical microscope has limited resolution, the shot slashing slice image is fuzzy, and the boundary of the slashing coating and the soaking part is difficult to distinguish, so that the slashing coating and soaking evaluation has larger error, the evaluation can be realized by a microscope with higher precision, and the cost is higher.
The invention content is as follows:
the invention firstly solves the technical problems that: a method for characterizing the surface coating effect of slashing is provided to improve characterization accuracy.
In order to solve the technical problems, the invention adopts the technical scheme that: a slashing surface coating effect characterization method comprises the following specific steps:
(1) preparing a color developing agent;
(2) placing the slashing in a color developing agent to enable a size film on the slashing to react with the color developing agent for color development;
(3) acquiring a evenness image of the colored slashing;
(4) carrying out graying processing on the image by using a computer image processing technology to obtain a evenness gray level image;
(5) calculating the number NUM of pixel points of the evenness gray level imageYarnAnd SUM of gray values of each pixel SUMYarn；
(6) By the formula
Calculating the coating depth T, and evaluating the color development depth of the serous membrane according to the coating depth T;
(7) by the formula
Calculating the coating unevenness rate P to evaluate the sizing coating uniformity, wherein xiThe gray value of each pixel point is represented,
and the average grey value of the yarn is represented, and n represents the number of yarn pixel points.
As a preferable scheme, the characterization method further comprises the following specific steps:
(8) acquiring a yarn evenness image of a raw yarn, carrying out gray processing on the yarn evenness image of the raw yarn by utilizing a computer image processing technology to obtain a yarn evenness gray map of the raw yarn, and calculating an average gray value of the yarn evenness gray map of the raw yarn as a threshold value when carrying out binarization processing on a slashing yarn evenness gray map;
(9) carrying out binarization processing on the slashing evenness gray level graph based on the threshold value to obtain a slashing evenness binary level graph, and counting the number NUM of pixel points in a color development areaColor developmentThen according to the formula
And calculating a coverage coefficient K, and evaluating the integrity of the serosa by using the coverage coefficient K, wherein the color development area refers to an area with a pixel gray value of 0.
As a preferred scheme, the color developing agent is I2-KI complex solution.
Preferably, in step (2), the sizing is guided into the developer by the guide device and moves a distance in the developer during the conveying process.
As a preferred scheme, the specific mode for acquiring the slashing evenness image in the step (3) is to acquire a longitudinal appearance sequence image or video after the slashing in the color developing agent is developed by using a super-depth-of-field microscope; the specific manner of obtaining the original yarn evenness image in the step (8) is the same as that of obtaining the slashing evenness image.
As a preferred scheme, a black box environment is built, a super-depth-of-field microscope is used for collecting a yarn evenness image or a video of slashing or original yarn in the black box environment, the illumination mode of the super-depth-of-field microscope is selected to be annular illumination, and the brightness is not higher than 15 cd/m.
The invention has the beneficial effects that: the method comprises the steps of developing the size components on the sizing by using a color developing agent, then obtaining a sizing evenness image, processing the sizing evenness image by adopting a computer image processing technology, and finally obtaining the coating depth T and the coating irregularity P through a formula so as to evaluate the sizing surface coating amount and the sizing film thickness. By adopting the method, the covering effect of the surface of the slashing can be visually reflected, the covering effect of the continuous long-section slashing can be evaluated, the sample size is large, the representativeness is strong, the integrity of the slashing surface slashing film cannot be damaged in the operation process, and the test result is more accurate. And the method has the advantages of simple process, easy operation, strong repeatability and wide practical production significance.
The invention further carries out binarization processing on the gray level image of the slashing evenness, obtains the coating coefficient K according to a formula, is used for further evaluating the integrity of the slashing film, improves the evaluation accuracy of the slashing coating effect by increasing evaluation factors, reversely guides the slashing process control and improves the slashing quality.
The invention further introduces the slashing in the conveying process into the color developing agent so as to increase the sample length for evaluating the slashing coating effect and improve the evaluation accuracy.
The invention further improves the definition of the acquired yarn evenness image of the slashing or the raw yarn by creating a black box environment.
The invention also aims to solve the technical problems that: the utility model provides a sizing evenness image acquisition device to obtain clear sizing evenness image, including picture and video.
In order to solve the technical problems, the invention adopts the technical scheme that: the utility model provides a sizing evenness image acquisition device, includes the objective table, arranges the solution tank on the objective table in, guide sizing and get into the leading-in roller in the solution tank, guide sizing and leave the derivation roller of solution tank and erect the super depth of field microscope in the solution tank top, is used for holding the colour-developing agent in the solution tank.
Preferably, the sizing yarn evenness image acquisition device further comprises a yarn inlet tension control device arranged on the upstream side of the guide-in roller and a yarn outlet tension control device arranged on the downstream side of the guide-out roller.
As a preferable scheme, the slashing strip image acquisition device further comprises an unwinding device and a winding device, wherein the unwinding device and the winding device are arranged on an object stage outside the solution tank, the unwinding device is positioned at the upstream of the yarn inlet tension control device, and the winding device is positioned at the downstream of the yarn outlet tension control device.
As a preferred scheme, the slashing evenness image acquisition device further comprises a black box covering the solution tank, and the lens of the super-depth-of-field microscope is positioned in the black box and used for shooting slashes in the solution tank.
The invention leads the sizing yarn to enter the solution tank containing the color developing agent to develop the color of the sizing film, then shoots the colored sizing yarn image as a sample through the ultra-depth-of-field microscope to evaluate the surface coating effect of the sizing yarn.
The invention further controls the slashing tension in the solution tank through the yarn inlet tension control device and the yarn outlet tension control device, so that the photographed slashing tensions are consistent, the sample quality is improved, and the evaluation accuracy of the slashing surface coating effect is further ensured.
The invention further realizes the evaluation of the surface coating effect of the sizing by the winding device and the unwinding device, and has various use modes and wider application range.
The invention further shields the influence of external light on shooting through the black box, improves the definition of a slashing evenness image and improves the evaluation accuracy of the slashing surface coating effect.
Description of the drawings:
the following detailed description of embodiments of the invention is provided in conjunction with the appended drawings, in which:
FIG. 1 is a schematic structural diagram of a slashing evenness image acquisition device according to the invention;
in fig. 1: 1. unwinding device, 2, yarn feeding tension control device, 3, solution tank, 4, leading-in roller, 5, super field depth microscope, 6, yarn discharging tension control device, 7, winding device, 8, motor, 9, objective table, 10, black box, 11, leading-out roller, 12 and yarn guide roller.
The specific implementation mode is as follows:
specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Example 1:
in this embodiment, a method for characterizing a surface coating effect of slashing is specifically described based on an implementation of a slashing evenness image acquisition device shown in fig. 1, where the method includes the following specific steps:
(1) a color developing agent is disposed in the solution tank 3;
(2) the bobbin wound with the sizing is placed on an unwinding device 1, a yarn end is drawn and guided into a solution tank 3 through a guide-in roller 4 as shown in fig. 1, then a guide-out roller 11 is led out of the solution tank 3 and wound on the bobbin on a winding device 7, so that part of the sizing is immersed in a color developing agent, a size film on the sizing reacts with the color developing agent to develop color, in order to prolong the immersion time and the running length of the sizing in the solution tank 3 and reduce the size of the solution tank 3 as much as possible, a yarn guide roller 12 is additionally arranged in the solution tank 3, and the sizing is made to turn back and move in the solution tank 3;
(3) shooting by using the super-depth-of-field microscope 5, acquiring a evenness picture of the colored slashing in the environment of the black box 10, and selecting the illumination mode of the super-depth-of-field microscope 5 as annular illumination, wherein the brightness is not higher than 15cd/m, and preferably is 10 cd/m;
(4) image denoising, inclination correction are carried out on the image by utilizing a computer image processing technology, warp yarn evenness images are kept after background removal, and RGB image graying processing is carried out on the yarn evenness images to obtain evenness gray images.
(5) Extracting the number NUM of the pixel points of the evenness gray level imageYarnAnd SUM of gray values of each pixel SUMYarn；
(6) By the formula
Calculating the coating depth T, and evaluating the slashing coating amount according to the coating depth T; the closer the value of T is to 0, the higher the slashing coverage.
(7) By the formula
Calculating the coating unevenness rate P to evaluate the sizing coating uniformity, wherein the smaller the value of P, the better the sizing coating uniformity, wherein xiThe gray value of each pixel point is represented,
and the average grey value of the yarn is represented, and n represents the number of yarn pixel points.
(8) Replacing the slashing in the step (2) with the original yarn, obtaining a yarn evenness image of the original yarn according to the steps (2) and (3), obtaining a yarn evenness gray map of the original yarn by using the method in the step (4), and calculating an average gray value of the yarn evenness gray map of the original yarn as a threshold value when the yarn evenness gray map is subjected to binarization processing;
(9) performing binarization processing on the slashing evenness gray map based on the threshold, adjusting the pixel gray value to be 255 when the pixel gray value is larger than or equal to the threshold, adjusting the pixel gray value to be 0 when the pixel gray value is smaller than the threshold, obtaining the slashing evenness gray map, and counting the number NUM of pixel points in a color development areaColor developmentThen according to the formula
And calculating a coverage coefficient K, and evaluating the integrity of the size film by using the coverage coefficient K, wherein the color development area refers to an area with a pixel gray value of 0 in a sizing yarn evenness binary image.
In this example, the developer is I2-KI Complex solution, I2The concentration is 0.05 per mill, and the KI concentration is 1 per mill.
In order to further improve the evaluation accuracy, as shown in fig. 1, a winding device 7 can be driven by a motor 8 to rotate, so that the slashing moves slowly, the slashing tension in a solution tank 3 is controlled by a yarn inlet tension control device 2 and a yarn outlet tension control device 6, the tension of the photographed slashing is ensured to be constant, and then when the step (3) is carried out, a plurality of pictures of the slashing are photographed by using an ultra-depth-of-field microscope 5 or videos are directly recorded. When the photos are taken, the shooting frequency of the super-depth-of-field microscope 5 is controlled to be matched with the movement speed of the sizing yarn, so that the yarn section on each photo is not repeatedly shot, and then image processing and data extraction are carried out on all photos according to the steps (4) and (5).
When the slashing evenness image is acquired in a video recording mode, preferably obtaining a video file in an avi format, reading the video file into an image, and then performing image processing and data extraction according to the steps (4) and (5).
The coating effect of the 40S slashes with three different sizing ratios was evaluated by the above method, in which the motor 8 was rotated and 100 photographs were continuously taken of each of the three slashes using the super-depth-of-field microscope 5, and the results are shown in table 1:
TABLE 1
As can be seen from table 1, the number 1 slashing has the highest covering factor, the lowest covering unevenness and the highest covering amount, the yarn sizing process can be controlled according to the results of the covering factor and the covering unevenness to further increase or decrease the covering factor and the covering unevenness, and the value of the covering depth is the pixel gray value and is used for comparing the covering amounts of the two slashes to visually represent the covering amounts of the two slashes.
Example 2:
the slashing evenness image acquisition device shown in fig. 1 comprises an object stage 9, a solution tank 3 arranged on the object stage 9, a guide-in roller 4 for guiding slashes into the solution tank 3, a guide-out roller 11 for guiding the slashes to leave the solution tank 3, an ultra-depth-of-field microscope 5 erected above the solution tank 3, a yarn feeding tension control device 2 arranged on the upstream side of the guide-in roller 4, a yarn discharging tension control device 6 arranged on the downstream side of the guide-out roller 11, an unwinding device 1, a winding device 7 and a black box, wherein the solution tank 3 is used for containing a color developing agent, the unwinding device 1 and the winding device 7 are arranged on the object stage 9 outside the solution tank 3, the unwinding device 1 is arranged on the upstream side of the yarn feeding tension control device 2, and the winding device 7 is arranged on the downstream side of the yarn discharging tension control device 6. The black box 10 covers the solution tank 3, and the lens of the super-depth-of-field microscope 5 is positioned in the black box 10 to shoot the slashing in the solution tank 3.
The specific working process of this embodiment 2 is fully described in embodiment 1, and is not described herein again.
In addition to the working process described in embodiment 1, the slashing evenness image acquisition device of the present invention can also be used to introduce slashing on a slasher into the solution tank 3 directly through the yarn-feeding tension control device 2 and the guide-in roller 4, and then lead out of the solution tank 3 through the guide-out roller 11, so as to dynamically evaluate the slashing surface coating effect in the sizing process, so as to monitor the yarn sizing quality.
The above embodiments are merely illustrative of the principles and effects of the present invention, and some embodiments in use, and are not intended to limit the invention; it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the inventive concept of the present invention, and these changes and modifications belong to the protection scope of the present invention.
Claims (10)
1. A slashing surface coating effect characterization method is characterized by comprising the following specific steps:
(1) preparing a color developing agent;
(2) placing the slashing in a color developing agent to enable a size film on the slashing to react with the color developing agent for color development;
(3) acquiring a evenness image of the colored slashing;
(4) carrying out graying processing on the image by using a computer image processing technology to obtain a evenness gray level image;
(5) Calculating the number NUM of pixel points of the evenness gray level imageYarnAnd SUM of gray values of each pixel SUMYarn；
(6) By the formula
Calculating the coating depth T, and evaluating the color development depth of the serous membrane according to the coating depth T;
(7) by the formula
Calculating the coating unevenness rate P to evaluate the sizing coating uniformity, wherein xiThe gray value of each pixel point is represented,
and the average grey value of the yarn is represented, and n represents the number of yarn pixel points.
2. The characterization method according to claim 1, further comprising the following specific steps:
(8) acquiring a yarn evenness image of a raw yarn, carrying out gray processing on the yarn evenness image of the raw yarn by utilizing a computer image processing technology to obtain a yarn evenness gray map of the raw yarn, and calculating an average gray value of the yarn evenness gray map of the raw yarn as a threshold value when carrying out binarization processing on a slashing yarn evenness gray map;
(9) carrying out binarization processing on the slashing evenness gray level graph based on the threshold value to obtain a slashing evenness binary level graph, and counting the number NUM of pixel points in a color development areaColor developmentThen according to the formula
And calculating a coverage coefficient K, and evaluating the integrity of the serosa by using the coverage coefficient K, wherein the color development area refers to an area with a pixel gray value of 0.
3. The characterization method according to claim 1, wherein the color-developing agent is I2-KI complex solution.
4. The characterization method according to claim 1, wherein in step (2), the slashing is guided into the color developer by a guide device and moves for a certain distance in the color developer during the transportation.
5. The characterization method according to claim 1, wherein the sizing evenness image in step (3) is obtained by collecting the longitudinal appearance sequence image or video of the dyed sizing in the solution by using an ultra-depth microscope; the specific manner of obtaining the original yarn evenness image in the step (8) is the same as that of obtaining the slashing evenness image.
6. The characterization method according to claim 5, wherein a black box environment is created, the super-depth-of-field microscope is used for collecting the yarn evenness image or video of the slashing or the raw yarn in the black box environment, and the illumination mode of the super-depth-of-field microscope is selected as annular illumination with the brightness not higher than 15 cd/m.
7. The utility model provides a sizing evenness image acquisition device, its characterized in that includes objective table (9), places solution tank (3) on objective table (9) in, guide into leading-in roller (4) in solution tank (3), guide sizing leave derivation roller (11) of solution tank (3) and erect super depth of field microscope (5) in solution tank (3) top in, is used for holding the colour-developing agent in solution tank (3).
8. The slashing evenness image acquisition device according to claim 7, further comprising a yarn inlet tension control device (2) arranged on the upstream side of the guide-in roller (4) and a yarn outlet tension control device (6) arranged on the downstream side of the guide-out roller (11).
9. The slashing evenness image acquisition device according to claim 8, further comprising an unwinding device (1) and a winding device (7), wherein the unwinding device (1) and the winding device (7) are arranged on a stage (9) outside the solution tank (3), the unwinding device (1) is located upstream of the yarn inlet tension control device (2), and the winding device (7) is located downstream of the yarn outlet tension control device (6).
10. The slashing evenness image acquisition device according to claim 7, further comprising a black box (10) covering the solution tank (3), wherein the lens of the super-depth-of-field microscope (5) is positioned in the black box (10) to shoot the slashing in the solution tank (3).
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