CN115266536A - Method for detecting water absorption performance of paper diaper - Google Patents
Method for detecting water absorption performance of paper diaper Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 128
- 238000010521 absorption reaction Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000013598 vector Substances 0.000 claims abstract description 32
- 229910000365 copper sulfate Inorganic materials 0.000 claims abstract description 26
- ARUVKPQLZAKDPS-UHFFFAOYSA-L copper(II) sulfate Chemical compound [Cu+2].[O-][S+2]([O-])([O-])[O-] ARUVKPQLZAKDPS-UHFFFAOYSA-L 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims description 48
- 239000000126 substance Substances 0.000 claims description 4
- 230000008859 change Effects 0.000 abstract description 7
- 210000002700 urine Anatomy 0.000 description 7
- 238000009792 diffusion process Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N2015/0813—Measuring intrusion, e.g. of mercury
Abstract
The invention relates to the technical field of paper diaper water absorption detection, in particular to a method for detecting the water absorption performance of a paper diaper. The method comprises the following steps: respectively obtaining surface images of the diaper when the diaper does not absorb water and after the copper sulfate solution is completely diffused, and graying the surface images to obtain a first image and a second image; obtaining a uniform water absorption description factor of the diaper by using the gradient of each pixel in the second image and the mean value of the information entropy; pixel blocks containing the edges of the detected reference prints in the first image and the second image are respectively a target pixel block and a pixel block to be matched; obtaining a motion vector of each target pixel block based on the similarity of each target pixel block and each pixel block to be matched by using a three-step search method; and obtaining the water absorption performance evaluation index of the paper diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block. The invention accurately detects the water absorption performance of the paper diaper through the uniform water absorption description factor after water absorption and the change condition of the movement of the detection reference mark edge caused by the water absorption of the paper diaper.
Description
Technical Field
The invention relates to the technical field of paper diaper water absorption detection, in particular to a method for detecting the water absorption performance of a paper diaper.
Background
The paper diaper is convenient to use, so that the paper diaper becomes a daily product for infants and people with special requirements, along with improvement of life quality, the quality requirement of people on the paper diaper is higher and higher, the design of the paper diaper is developed towards the direction of being thinner, healthier and more environment-friendly, and new requirements are provided for the qualities of better absorbability, quicker diffusivity, stronger leak resistance and the like.
The water absorption performance is generally evaluated according to the water permeability and the rewet rate, but a very important factor is that after the paper diaper absorbs water, partial expansion of the paper diaper cannot be caused, namely whether the water absorption is uniform or not, according to the characteristic, a tester usually judges the water absorption performance of the paper diaper according to the working experience during detection, and a unified method for evaluating the water absorption performance of the paper diaper is needed.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a method for detecting the water absorption performance of a paper diaper, which adopts the following technical scheme:
one embodiment of the invention provides a method for detecting water absorption performance of an intelligent warehouse, which comprises the following steps: manually making a detection reference mark on the paper diaper; respectively obtaining surface images of the diaper when the diaper does not absorb water and after the copper sulfate solution is diffused and graying to obtain a first image and a second image; obtaining a water receiving point based on a difference image of the first image and the second image; obtaining the information entropy of each pixel based on the frequency of the occurrence of the gray value of the pixel in the neighborhood of each pixel in the second image; using the gradient of the grey level of each pixel in the second image and the pixels obtaining a water absorption uniform description factor of the diaper by the mean value of the information entropy;
dividing the first image and the second image into pixel blocks with the same size respectively, wherein the pixel blocks containing the edges of the detection reference imprints in the first image and the second image are respectively a target pixel block and a pixel block to be matched; taking the center point of the target pixel block as the circle center, and obtaining the radius of the circle based on the distance between the center point of the target pixel block and the water receiving point to obtain a characteristic circle; equally dividing the characteristic circle by using the diameter passing through the circle center to obtain a plurality of fan-shaped areas, and trisecting the radius of the characteristic circle by using a concentric circle smaller than the radius of the characteristic circle to obtain different sub-areas;
forming a characteristic matrix of the target pixel blocks based on the number of the target pixel blocks in each sub-area in the characteristic circle; obtaining a result of weighted summation of absolute values of differences between elements in the feature matrix of the pixel block to be matched and corresponding elements of the feature matrix of the target pixel block, wherein the number of the weighted summation result and divided areas in the feature circle is the similarity between the target pixel block and the pixel block to be matched; obtaining a motion vector of each target pixel block based on the similarity of each target pixel block and each pixel block to be matched by using a three-step search method; and obtaining the water absorption performance evaluation index of the paper diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block.
Preferably, the artificially making a detection reference mark on the diaper comprises: the method comprises the following steps of (1) flatly laying the paper diapers, and if the paper diapers have textures, deepening the textures according to the textures to obtain detection reference marks to divide a water absorption area of the paper diapers into a plurality of areas; if the paper diaper has no texture, a detection reference mark is made in the water absorption area of the paper diaper by people to divide the water absorption area of the paper diaper into a plurality of areas.
Preferably, obtaining the water-receiving point based on a difference image of the first and second images comprises; and if a plurality of pixels with the maximum gray value exist, selecting the pixel at the central position from the pixels with the maximum gray value as the water receiving point.
Preferably, the water uptake uniformity description factor is:
wherein Q represents a water absorption uniformity description factor; f is the average of the gray gradients of the middle pixels of the second image;
representing a gray scale gradient of a u-th pixel in the second image; n represents the number of pixels in the second image; h represents an average value of information entropy of each pixel in the second image.
Preferably, obtaining the radius of the circle based on the distance between the center point of the target pixel block and the water-receiving point comprises: setting an initial diameter, the radius of the circle is:
wherein r is the radius of the circle,
is the initial diameter; x andy is respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively the abscissa and ordinate of the water receiving point.
Preferably, the forming the feature matrix of the target pixel block based on the number of the target pixel blocks in each sub-region in the feature circle comprises: and the element of each line in the characteristic matrix is the number of target pixel blocks in each sub-region in each sector region, wherein if one target pixel block is distributed in a plurality of sub-regions in one sector region, the number of pixels belonging to the target pixel block in each sub-region in which the target pixel block is distributed is obtained, and the sub-region with the largest number of pixels is the sub-region in which the target pixel block is located.
Preferably, the similarity between the target pixel block and the pixel block to be matched is as follows:
wherein T represents the similarity between the target pixel block and the pixel block to be matched;
the element in the ith row and jth column of the feature matrix representing the target pixel block,
representing the ith row and the jth column of elements in the characteristic matrix of the pixel block to be matched;
representing the weight of the element of the ith row in the feature matrix,
representing the weight of the j column element in the characteristic matrix; the weight of the element in the ith row in the feature matrix is：
Wherein the content of the first and second substances,
representing the offset angle of the central line in the sector area corresponding to the ith row in the characteristic matrix;
representing the deviation angle of a connecting line between the central point of the target pixel block and the water receiving point; the offset angle is an included angle between a straight line and the x axis of the rectangular coordinate system; wherein
Comprises the following steps:
wherein x and y are respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively is the abscissa and ordinate of the water receiving point;
the weight of the element in the jth column in the feature matrix is:
wherein j represents the jth column in the feature matrix;
and representing the weight of the j-th column element in the feature matrix.
Preferably, the obtaining of the water absorption performance evaluation index of the diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block comprises: obtaining the mean value of the modes of the motion vectors corresponding to all the target pixel blocks; obtaining the standard deviation of the module of the motion vector corresponding to all the target pixel blocks; obtaining a uniform expansion index according to the mean value and the standard deviation of the modes of the motion vectors corresponding to all the target pixel blocks, wherein the uniform expansion index and the mean value and the standard deviation of the modes of the motion vectors corresponding to all the target pixel blocks are in a negative correlation relationship; the ratio of the water absorption uniformity description factor to the expansion uniformity index is an evaluation index of the water absorption performance of the paper diaper.
The embodiment of the invention at least has the following beneficial effects: according to the invention, through setting an experimental scene, a detection reference mark is artificially made on the paper diaper before the paper diaper absorbs water, meanwhile, a colored copper sulfate solution is used for simulating urine, the copper sulfate solution has a color, the diffusion condition of the solution on the surface of the paper diaper can be more clearly observed after the paper diaper absorbs the solution, a water absorption uniformity description factor is obtained by analyzing a surface image of the paper diaper after absorbing the copper sulfate solution, and the water absorption uniformity of the paper diaper is accurately obtained; meanwhile, the change condition of the edge of the reference mark is detected on the surface of the paper diaper before and after the solution is absorbed, so that the expansion condition of the paper diaper after the solution is absorbed is visually reflected; the water absorption performance of the paper diaper is accurately detected through the water absorption uniformity description factor after water absorption and the movement change condition of the edge of the detection reference mark caused by the water absorption of the paper diaper, and meanwhile, the detection standard of the water absorption performance of the paper diaper is given.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flow chart of a method for detecting the water absorption performance of a paper diaper.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to a method for detecting the water absorption performance of a diaper according to the present invention, with reference to the accompanying drawings and preferred embodiments, and the specific implementation, structure, features and effects thereof. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the method for detecting the water absorption performance of the paper diaper provided by the invention in detail with reference to the accompanying drawings.
Example 1:
the main application scenarios of the invention are as follows: the water absorption test was performed using a copper sulfate solution as a simulated urine. A certain amount of simulated urine is used for carrying out a penetration experiment on the flat and well-placed paper diaper, namely, the urine is dropped onto the paper diaper at a certain speed, a beaker is placed below the paper diaper, and the leaked simulated urine is collected. For the prominent experiment effect, do benefit to the observation and draw the experimental result, after tiling panty-shape diapers, the people is for being divided into a plurality of regions with panty-shape diapers, if panty-shape diapers have the texture promptly, just deepen according to its texture, obtain and detect the benchmark impression, if there is not the texture, then draw a plurality of detection benchmark impressions on panty-shape diapers, the impression is drawn along the panty-shape diapers level, draw deeply many times and make the impression in the experimentation, also can keep easy detection state after absorbing water promptly.
Referring to fig. 1, a flow chart of a method for detecting the water absorption performance of a paper diaper according to an embodiment of the present invention is shown, the method includes the following steps:
firstly, manually making a detection reference mark on a paper diaper; respectively obtaining surface images of the diaper when the diaper does not absorb water and after the copper sulfate solution is completely diffused, and graying the surface images to obtain a first image and a second image; obtaining a water receiving point based on a difference image of the first image and the second image; obtaining the information entropy of each pixel based on the frequency of the occurrence of the gray value of the pixel in the neighborhood of each pixel in the second image; and obtaining a water absorption uniformity description factor of the diaper by using the gray gradient of each pixel in the second image and the mean value of the information entropy of each pixel.
Firstly, the diapers are produced in batches during workshop production, so the invention aims at sampling and inspecting the diapers of the same batch to obtain the water absorption performance of the diapers of the same batch. In order to better observe the absorption of urine on the paper diaper, the test of the water absorption performance of the paper diaper is carried out by utilizing a copper sulfate solution to simulate the urine. A certain amount of copper sulfate solution is used for carrying out a permeation experiment on the flat and well-placed paper diaper, namely, the copper sulfate solution is dripped onto the paper diaper at a certain speed, a beaker is placed below the paper diaper, and the leaked copper sulfate solution is collected. And shooting the surface image of the paper diaper without adding the copper sulfate solution by using a camera and graying the image to obtain a first image.
The water permeating into the beaker is shot through the camera, the neural network is used for reading the beaker, and the permeation quantity K of the paper diaper is obtained. And setting a threshold value c =20mm, and when the required permeation quantity K is greater than the threshold value c, directly reporting that the paper diaper is unqualified without performing the next analysis. If the permeation quantity is qualified, the water absorption performance of the paper diaper is obtained by analyzing the final diffusion condition of the copper sulfate solution on the paper diaper. And shooting the surface image of the paper diaper after the copper sulfate solution is diffused on the paper diaper by using a camera and graying to obtain a second image, wherein the first image and the second image only contain the water absorption area in the paper diaper.
Further, the more uniform the distribution of the copper sulfate solution on the paper diaper is detected, which indicates that the paper diaper has better water absorption performance. Wherein, the distribution of the copper sulfate solution on the paper diaper is analyzed by color difference analysis, namely, if the copper sulfate solution is proper, the color of the paper diaper obtained after detection is uniform. At this time, a water receiving point needs to be found according to a difference image of the first image and the second image, wherein the water receiving point is a place where the paper diaper receives the copper sulfate solution, it needs to be noted that the place where the copper sulfate solution is received in the actual process is an area, but in the invention, one pixel represents the whole area where the copper sulfate solution is received; and if a plurality of pixels with the maximum gray value exist, selecting the pixel at the central position from the pixels with the maximum gray value as a water receiving point, and marking the water receiving point in the first image and the second image.
Finally, obtaining a gray gradient image of the second image by using a Sobel operator, wherein the pixel value of each pixel in the gray gradient image is the gray gradient of each pixel in the second image; based on the gray level image, the image gradients can be observed to converge from the periphery to the water receiving points, and the value of each gray level gradient is very small, namely the gray level change of the image is very uniform; the uniform water uptake description factor thus obtained was:
wherein Q represents a water absorption uniformity description factor; f is the average of the gray gradients of the middle pixels of the second image;
representing a gray scale gradient of a u-th pixel in the second image; n represents the number of pixels in the second image; h represents the mean value of the information entropy of each pixel in the second image. The smaller the average value f of the gray scale gradient of the pixels in the second image is, and the smaller the standard deviation of the gray scale gradient is, the smaller the average value H of the information entropy of each pixel in the second image is, and the smaller Q is, the more uniform the gray scale change is.
Wherein H is the average value of the information entropies of all pixels in the second image, and the smaller the entropy value is, the more uniform the paper diaper absorbs the copper sulfate solution, that is, the more uniform the color of the copper sulfate solution on the paper diaper is, the information entropy reflects the number of colors contained around one pixel and the complexity of the colors, wherein the average value of the information entropies of all the pixels in the second image is as follows:
wherein, the first and the second end of the pipe are connected with each other,
representing the entropy of the information of the o-th pixel in the second image,
is the frequency of occurrence of pixels with a grey value m in the neighborhood of one pixel 8 in the second image.
Dividing the first image and the second image into pixel blocks with the same size respectively, wherein the pixel blocks containing the edges of the detection reference marks in the first image and the second image are respectively a target pixel block and a pixel block to be matched; taking the center point of the target pixel block as the circle center, and obtaining the radius of the circle based on the distance between the center point of the target pixel block and the water receiving point to obtain a characteristic circle; the characteristic circle is equally divided by the diameter passing through the circle center to obtain a plurality of fan-shaped areas, and the radius of the characteristic circle is equally divided by the concentric circle smaller than the radius of the characteristic circle to obtain different sub-areas.
Firstly, the paper diaper can expand due to water absorption after water absorption, but after water is absorbed at a certain position, water can be uniformly distributed to other parts of the high-quality paper diaper, so that the water-receiving position is not very expanded, and the smaller the expansion degree is, the stronger the subsequent water absorption performance is, so that the water absorption performance of the paper diaper can be evaluated by detecting the average expansion degree and the highest expansion degree of the paper diaper after water receiving. In order to reduce the amount of calculation, the first image and the second image are partitioned to obtain pixel blocks with the same size, wherein the size of the pixel block is divided into N × N, preferably, N is 5 in this embodiment, and the size is set by an implementer according to the actual situation during the actual use. And obtaining the edge of the detection reference mark in the first image and the second image, wherein the first image comprises a pixel block for detecting the edge of the reference mark as a target pixel block, and the second image comprises a pixel block for detecting the edge of the reference mark as a pixel block to be matched.
The expansion degree of the paper diaper after washing water is judged according to the magnitude of a motion vector model, namely the larger the motion vector of the edge of the reference mark, the smaller the motion vector is, and the smaller the expansion degree is.
Then, the motion vector for detecting the edge of the reference mark is generally obtained by using a three-step search method, but the block matching criterion in the three-step search method only considers the gray scale change, whereas in the present invention, since the color-containing copper sulfate solution renders the image, it is easy to match different pixel blocks to the position of the non-corresponding pixel block when matching is performed, and the matching error is increased. Whether the distribution situation of the target pixel blocks around each target pixel block is similar to the distribution situation of the pixel blocks to be matched around the pixel blocks to be matched or not needs to be considered, and the similarity between the target pixel blocks and the pixel blocks to be matched is obtained.
Further, taking a target pixel block as an example, a center point of the target pixel block is obtained, and a circle is drawn by taking the center point as a circle center, wherein an initial diameter of the circle is set
Then the radius of the circle is:
wherein r is the radius of the circle,
is an initial straightDiameter; x and y are respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively the abscissa and the ordinate of the water receiving point. And the circle is referred to as a feature circle of the target pixel block. Dividing the characteristic circle into fan-shaped areas with the same size through multiple diameters of the center of the characteristic circle, wherein the central angle of each fan-shaped area is equal, preferably, 8 fan-shaped areas are obtained in the embodiment, and the central angle of each fan-shaped area is 45 degrees; and simultaneously, trisecting the radius of the characteristic circle by using two concentric circles in the characteristic circle to obtain different sub-areas, wherein the total number of the sub-areas in the characteristic circle is 24, and one sector area comprises 3 sub-areas.
Thirdly, forming a characteristic matrix of the target pixel blocks based on the number of the target pixel blocks in each sub-area in the characteristic circle; obtaining a result of weighted summation of absolute values of differences between elements in the feature matrix of the pixel block to be matched and corresponding elements of the feature matrix of the target pixel block, wherein the number of the weighted summation result and divided areas in the feature circle is the similarity between the target pixel block and the pixel block to be matched; obtaining a motion vector of each target pixel block based on the similarity of each target pixel block and each pixel block to be matched by using a three-step search method; and obtaining the water absorption performance evaluation index of the paper diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block.
Firstly, counting the number of target pixel blocks of each sub-region in each sector region, and if one target pixel block is distributed in a plurality of sub-regions in one sector region, obtaining the number of pixels belonging to the target pixel block in each sub-region in which the target pixel block is distributed, wherein the sub-region with the largest number of pixels is the sub-region in which the target pixel block is located. The feature matrix of the target pixel blocks corresponding to the feature circle is constructed by utilizing the number of the target pixel blocks in each sub-area in each fan-shaped area, each fan-shaped area is provided with three sub-areas, 8 fan-shaped areas are provided, so that the size of the feature matrix is 8*3, the element of each line in the feature matrix is the number of the target pixel blocks in each sub-area in each fan-shaped area, the first element of each line is the number of the target pixel blocks in the sub-area closest to the circle center in each fan-shaped area, the third element is the number of the target pixel blocks in the sub-area closest to the circumference of the feature circle, and the second element is the number of the target pixel blocks in the middle sub-area.
The feature matrix of each target pixel block in the first image can be obtained, and the feature matrix of each pixel block to be matched in the second image can also be obtained according to the method for obtaining the feature matrix of each target pixel block in the first image.
Further, the similarity between the target pixel block and the pixel block to be matched is characterized through the similarity between the characteristic matrix of each target pixel block and the characteristic matrix of each pixel block to be matched; taking a target pixel block and a pixel block to be matched as an example, obtaining the similarity between the target pixel block and the pixel block to be matched:
wherein T represents the similarity between the target pixel block and the pixel block to be matched,
the element in the ith row and jth column of the feature matrix representing the target pixel block,
representing the ith row and the jth column of elements in the characteristic matrix of the pixel block to be matched;
representing the weights of the elements of the ith row in the feature matrix,
representing the weight of the j column element in the characteristic matrix; the weights of the elements in the ith row in the feature matrix are as follows:
wherein the content of the first and second substances,
representing the offset angle of the central line in the sector area corresponding to the ith row in the characteristic matrix;
representing the deviation angle of a connecting line between the central point of the target pixel block and the water receiving point; the offset angle is an included angle between a straight line and the x axis of the rectangular coordinate system.
According to analysis of the diffusion rule of the copper sulfate solution at the water receiving point, when a certain detection reference impression absorbs water and expands, the expansion direction of the detection reference impression is around the water receiving point, and then the expansion direction is expanded to the periphery, so that the motion vector of the target pixel block is more likely to move outwards along the direction of the water receiving point, the motion situation of the target pixel block in the direction is most consistent for the pixel block, and the motion difference is larger for other target pixel blocks around the target pixel block because the directions are more inconsistent due to the diffusion property, so that the weight is given to the pixel block which deviates from the direction more, and the weight is given to the pixel block which deviates from the direction more.
Wherein
Comprises the following steps:
wherein x and y are respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively is the abscissa and ordinate of the water receiving point;
the weight of the element in the jth column in the feature matrix is:
wherein j represents the jth column in the feature matrix;
the weight values of the j-th row of elements in the characteristic matrix are expressed, and according to the sub-regions in the characteristic circle, the closer to the target pixel block, the more important the description of the target pixel block is, that is, if the target pixel block closer to the center of the characteristic circle in the sub-region closest to the center of the characteristic circle in the sector region and the sub-region closest to the edge of the characteristic circle in the sector region has a greater influence on the distribution of the target pixel block around the target pixel block corresponding to the characteristic circle, the closer to the target pixel block at the center of the characteristic circle, the more sensitive the value is, the more sensitive the difference between the distribution of the target pixel block around the center of the characteristic circle and the distribution of the target pixel block to be matched around the target pixel block to be matched can be judged, and the similarity between the target pixel block and the pixel block to be matched can be described more easily. In obtaining
And
these two values then need to be normalized separately.
Furthermore, the motion vector of each target pixel block is obtained by combining a three-step search method according to the similarity between the target pixel block in the first image and the pixel block to be matched in the second image
Obtaining the mean of the modes of all motion vectors:
wherein the content of the first and second substances,
representing the mean of the modes of all motion vectors, wherein l represents the motion vectors corresponding to a total of l target pixel blocks in the first image;
representing the v-th motion vector. Meanwhile, the standard deviation of the modulus of the motion vector corresponding to all the target pixel blocks is obtained:
obtaining a swelling uniformity index P according to the mean value and the standard deviation of the modes of the motion vectors corresponding to all the target pixel blocks:
wherein, P represents the expansion uniformity index, and when the average value of the modes of all the motion vectors is smaller, the standard deviation of the modes of the motion vectors is smaller, which indicates that the expansion is uniform and the lump phenomenon does not occur.
Finally, obtaining a water absorption performance evaluation index A of the paper diaper, wherein the water absorption performance evaluation index of the paper diaper is the ratio of a water absorption uniformity description factor and an expansion uniformity index of the paper diaper; when the paper diaper absorbs the copper sulfate solution, the more uniform the color change of the surface, namely the smaller the water absorption uniformity description factor, the smaller the surface expansion after water absorption, and the more uniform the expansion, namely the larger the expansion uniformity index, the better the water absorption performance of the paper diaper; setting a water absorption performance threshold epsilon, preferably, setting the value of epsilon in this embodiment to be 0.18, and if the water absorption performance evaluation index is less than or equal to the water absorption performance threshold, indicating that the water absorption performance of the paper diaper is excellent, and indicating that the quality of the paper diapers produced in the same batch is qualified, and if the water absorption performance evaluation index is greater than the water absorption performance threshold, indicating that the quality of the paper diapers produced in the batch is likely to be unqualified, and further detection is required.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A method for detecting the water absorption performance of a paper diaper is characterized by comprising the following steps: manually making a detection reference mark on the paper diaper; respectively obtaining surface images of the diaper when the diaper does not absorb water and after the copper sulfate solution is completely diffused, and graying the surface images to obtain a first image and a second image; obtaining a water receiving point based on a difference image of the first image and the second image; acquiring information entropy of each pixel based on the occurrence frequency of the gray value of the pixel in the neighborhood of each pixel in the second image; obtaining a water absorption uniformity description factor of the diaper by using the gray gradient of each pixel in the second image and the mean value of the information entropy of each pixel;
dividing the first image and the second image into pixel blocks with the same size respectively, wherein the pixel blocks containing the edges of the detection reference imprints in the first image and the second image are respectively a target pixel block and a pixel block to be matched; taking the center point of the target pixel block as the circle center, and obtaining the radius of the circle based on the distance between the center point of the target pixel block and the water receiving point to obtain a characteristic circle; equally dividing the characteristic circle by using the diameter passing through the circle center to obtain a plurality of fan-shaped areas, and trisecting the radius of the characteristic circle by using a concentric circle smaller than the radius of the characteristic circle to obtain different sub-areas;
forming a characteristic matrix of the target pixel blocks based on the number of the target pixel blocks in each sub-area in the characteristic circle; obtaining a result of weighted summation of absolute values of differences between elements in the feature matrix of the pixel block to be matched and corresponding elements of the feature matrix of the target pixel block, wherein the number of the weighted summation result and divided areas in the feature circle is the similarity between the target pixel block and the pixel block to be matched; obtaining a motion vector of each target pixel block based on the similarity of each target pixel block and each pixel block to be matched by using a three-step search method; and obtaining the water absorption performance evaluation index of the paper diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block.
2. The method for detecting the water absorption performance of the paper diaper as claimed in claim 1, wherein the artificially making a detection reference mark on the paper diaper comprises: the method comprises the following steps of (1) flatly laying the paper diapers, and if the paper diapers have textures, deepening the textures according to the textures to obtain detection reference marks to divide a water absorption area of the paper diapers into a plurality of areas; if the paper diaper has no texture, a detection reference mark is made in the water absorption area of the paper diaper by people to divide the water absorption area of the paper diaper into a plurality of areas.
3. The method as claimed in claim 1, wherein the obtaining of the water receiving point based on the difference image between the first and second images comprises; and if a plurality of pixels with the maximum gray value exist, selecting the pixel at the central position from the pixels with the maximum gray value as the water receiving point.
4. The method for detecting the water absorption performance of the paper diaper according to claim 1, wherein the description factor of the uniform water absorption is as follows:
wherein Q represents a water absorption uniformity description factor; f is the average of the gray gradients of the middle pixels of the second image;
representing a gray scale gradient of a u-th pixel in the second image; n represents the number of pixels in the second image; h represents the mean value of the information entropy of each pixel in the second image.
5. The method as claimed in claim 1, wherein the obtaining the radius of the circle based on the distance between the center point of the target pixel block and the water receiving point comprises: setting an initial diameter, the radius of the circle is:
wherein r is the radius of the circle,
is the initial diameter; x and y are respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively the abscissa and ordinate of the water receiving point.
6. The method for detecting the water absorption performance of the paper diaper as claimed in claim 1, wherein the forming of the feature matrix of the target pixel blocks based on the number of the target pixel blocks in each sub-area in the feature circle comprises: and the element of each row in the characteristic matrix is the number of target pixel blocks in each sub-region in each sector region, wherein if one target pixel block is distributed in a plurality of sub-regions in one sector region, the number of pixels belonging to the target pixel block in each sub-region in which the target pixel block is distributed is obtained, and the sub-region with the largest number of pixels is the sub-region in which the target pixel block is positioned.
7. The method for detecting the water absorption performance of the paper diaper as claimed in claim 1, wherein the similarity between the target pixel block and the pixel block to be matched is as follows:
wherein T represents the similarity between the target pixel block and the pixel block to be matched;
the element in the ith row and jth column of the feature matrix representing the target pixel block,
representing the ith row and the jth column in the characteristic matrix of the pixel block to be matched;
representing the weights of the elements of the ith row in the feature matrix,
representing the weight of the element of the jth column in the characteristic matrix; the weights of the elements in the ith row in the feature matrix are:
wherein the content of the first and second substances,
representing the offset angle of the central line in the sector area corresponding to the ith row in the characteristic matrix;
representing the deviation angle of a connecting line between the central point of the target pixel block and the water receiving point; the offset angle is an included angle between a straight line and the x axis of the rectangular coordinate system; wherein
Comprises the following steps:
wherein x and y are respectively the abscissa and the ordinate of the center point of the target pixel block;
and
respectively is the abscissa and ordinate of the water receiving point;
the weight of the element in the jth column in the feature matrix is:
wherein j represents the jth column in the feature matrix;
and representing the weight of the j-th column element in the feature matrix.
8. The method for detecting the water absorption performance of the paper diaper according to claim 1, wherein the obtaining of the water absorption performance evaluation index of the paper diaper based on the motion vector and the water absorption uniformity description factor of each target pixel block comprises: obtaining the mean value of the modes of the motion vectors corresponding to all the target pixel blocks; obtaining the standard deviation of the module of the motion vector corresponding to all the target pixel blocks; obtaining a uniform expansion index according to the mean value and the standard deviation of the modes of the motion vectors corresponding to all the target pixel blocks, wherein the uniform expansion index and the mean value and the standard deviation of the modes of the motion vectors corresponding to all the target pixel blocks are in a negative correlation relationship; the ratio of the water absorption uniformity description factor to the expansion uniformity index is an evaluation index of the water absorption performance of the paper diaper.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664583A (en) * | 2023-08-02 | 2023-08-29 | 长沙康威日用品有限公司 | Paper diaper water absorption diffusivity detection method based on artificial intelligence |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2448980A1 (en) * | 2001-05-29 | 2002-12-05 | Tissueinformatics, Inc. | Robust stain detection and quantification for histological specimens based on a physical model for stain absorption |
| CN101625759A (en) * | 2009-07-30 | 2010-01-13 | 重庆医科大学 | Image quality evaluation method |
| CN103778655A (en) * | 2014-01-28 | 2014-05-07 | 西安理工大学 | Color natural image calculation artifying method based on self-adaption ink painting spreading |
| WO2015186518A1 (en) * | 2014-06-06 | 2015-12-10 | 三菱電機株式会社 | Image analysis method, image analysis device, image analysis system, and portable image analysis device |
| CN105973760A (en) * | 2016-07-13 | 2016-09-28 | 湖南康程护理用品有限公司 | Paper diaper urine diffusion path detection system and method |
| CN107228812A (en) * | 2016-03-24 | 2017-10-03 | 香港理工大学 | Moisture absorption and the detection method and device of transmission in weaving face fabric |
| CN107833247A (en) * | 2017-11-29 | 2018-03-23 | 合肥赑歌数据科技有限公司 | A kind of image texture extracting method based on matrix analysis |
| CN109803619A (en) * | 2016-11-30 | 2019-05-24 | 尤妮佳股份有限公司 | Absorber and its manufacturing method and absorbent commodity |
| CN110717922A (en) * | 2018-07-11 | 2020-01-21 | 普天信息技术有限公司 | Image definition evaluation method and device |
| CN113920121A (en) * | 2021-12-14 | 2022-01-11 | 武汉亚美高工艺制品有限公司 | Artwork printing streak detection method and system based on image processing |
| CN113989313A (en) * | 2021-12-23 | 2022-01-28 | 武汉智博通科技有限公司 | Edge detection method and system based on image multidimensional analysis |
| CN114782562A (en) * | 2022-06-18 | 2022-07-22 | 南通寝尚纺织品有限公司 | Garment fabric dip dyeing monitoring method based on data identification and artificial intelligence system |
| CN114782823A (en) * | 2022-06-14 | 2022-07-22 | 江西省水利科学院 | Rock-fill dam volume weight detection method based on drilling coring and in-hole image recognition |
| CN114782419A (en) * | 2022-06-17 | 2022-07-22 | 山东水利建设集团有限公司 | Water conservancy construction gradient detection method |
| CN115049835A (en) * | 2022-08-16 | 2022-09-13 | 众烁精密模架(南通)有限公司 | Data preprocessing method based on die-casting die defect identification |
| CN115063420A (en) * | 2022-08-16 | 2022-09-16 | 江苏美克美斯自动化科技有限责任公司 | Detection and evaluation method for mixing performance of intelligent mixing machine |
| CN115082470A (en) * | 2022-08-22 | 2022-09-20 | 启东市固德防水布有限公司 | Waterproof cloth performance detection method and system based on image recognition |
| CN115100436A (en) * | 2022-08-29 | 2022-09-23 | 江苏永银化纤有限公司 | Colored silk dyeing method based on image recognition |
-
2022
- 2022-09-26 CN CN202211170963.7A patent/CN115266536B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2448980A1 (en) * | 2001-05-29 | 2002-12-05 | Tissueinformatics, Inc. | Robust stain detection and quantification for histological specimens based on a physical model for stain absorption |
| CN101625759A (en) * | 2009-07-30 | 2010-01-13 | 重庆医科大学 | Image quality evaluation method |
| CN103778655A (en) * | 2014-01-28 | 2014-05-07 | 西安理工大学 | Color natural image calculation artifying method based on self-adaption ink painting spreading |
| WO2015186518A1 (en) * | 2014-06-06 | 2015-12-10 | 三菱電機株式会社 | Image analysis method, image analysis device, image analysis system, and portable image analysis device |
| CN107228812A (en) * | 2016-03-24 | 2017-10-03 | 香港理工大学 | Moisture absorption and the detection method and device of transmission in weaving face fabric |
| CN105973760A (en) * | 2016-07-13 | 2016-09-28 | 湖南康程护理用品有限公司 | Paper diaper urine diffusion path detection system and method |
| CN109803619A (en) * | 2016-11-30 | 2019-05-24 | 尤妮佳股份有限公司 | Absorber and its manufacturing method and absorbent commodity |
| CN107833247A (en) * | 2017-11-29 | 2018-03-23 | 合肥赑歌数据科技有限公司 | A kind of image texture extracting method based on matrix analysis |
| CN110717922A (en) * | 2018-07-11 | 2020-01-21 | 普天信息技术有限公司 | Image definition evaluation method and device |
| CN113920121A (en) * | 2021-12-14 | 2022-01-11 | 武汉亚美高工艺制品有限公司 | Artwork printing streak detection method and system based on image processing |
| CN113989313A (en) * | 2021-12-23 | 2022-01-28 | 武汉智博通科技有限公司 | Edge detection method and system based on image multidimensional analysis |
| CN114782823A (en) * | 2022-06-14 | 2022-07-22 | 江西省水利科学院 | Rock-fill dam volume weight detection method based on drilling coring and in-hole image recognition |
| CN114782419A (en) * | 2022-06-17 | 2022-07-22 | 山东水利建设集团有限公司 | Water conservancy construction gradient detection method |
| CN114782562A (en) * | 2022-06-18 | 2022-07-22 | 南通寝尚纺织品有限公司 | Garment fabric dip dyeing monitoring method based on data identification and artificial intelligence system |
| CN115049835A (en) * | 2022-08-16 | 2022-09-13 | 众烁精密模架(南通)有限公司 | Data preprocessing method based on die-casting die defect identification |
| CN115063420A (en) * | 2022-08-16 | 2022-09-16 | 江苏美克美斯自动化科技有限责任公司 | Detection and evaluation method for mixing performance of intelligent mixing machine |
| CN115082470A (en) * | 2022-08-22 | 2022-09-20 | 启东市固德防水布有限公司 | Waterproof cloth performance detection method and system based on image recognition |
| CN115100436A (en) * | 2022-08-29 | 2022-09-23 | 江苏永银化纤有限公司 | Colored silk dyeing method based on image recognition |
Non-Patent Citations (2)
| Title |
|---|
| XIANG DAI 等: "Comparison of image-based methods for determining the inline mixing uniformity of pesticides in direct nozzle injection systems", 《SCIENCEDIRECT》 * |
| 孙荣荣: "基于灰度共生矩阵相似图的图像质量评价方法", 《计算机应用》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664583A (en) * | 2023-08-02 | 2023-08-29 | 长沙康威日用品有限公司 | Paper diaper water absorption diffusivity detection method based on artificial intelligence |
| CN116664583B (en) * | 2023-08-02 | 2023-10-13 | 长沙康威日用品有限公司 | Paper diaper water absorption diffusivity detection method based on artificial intelligence |
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