CN111598852B - Wire taking detection method and device - Google Patents
Wire taking detection method and device Download PDFInfo
- Publication number
- CN111598852B CN111598852B CN202010357609.XA CN202010357609A CN111598852B CN 111598852 B CN111598852 B CN 111598852B CN 202010357609 A CN202010357609 A CN 202010357609A CN 111598852 B CN111598852 B CN 111598852B
- Authority
- CN
- China
- Prior art keywords
- pixel
- meridian
- total number
- taking
- gray
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
The invention relates to the technical field of plug-in machines, in particular to a wire-taking detection method and a device thereof, which comprise an adjustable bracket, wherein the adjustable bracket is connected with an image acquisition device, a wire-taking device and a light absorption structure, and the wire-taking device is positioned between the image acquisition device and the light absorption structure; the line taking detection device further comprises an image processing device and an alarm device in communication connection with the image processing device, and the image processing device is in communication connection with the image acquisition device. The invention can replace manual labor to find errors in time and alarm to stop damage, thereby improving the production efficiency.
Description
Technical Field
The invention relates to the technical field of plug-in machines, in particular to a wire taking detection method and a device thereof.
Background
The production process of the polyester mesh used in the pulp filtering process of the papermaking industry needs to splice semi-finished polyester mesh end to end, namely splicing, is finished by a splicing machine in charge of warp threads and a jacquard machine in charge of weft threads in a coordinated manner, and the splicing is finished through the process steps of thread taking, thread feeding, thread drawing, beating, thread shifting, jacquard and thread taking. Wherein, thread taking refers to taking out a warp thread from the polyester net for the subsequent process. Commonly used polyester nets are of the two-layer half-net and three-layer net type. The three-layer half net consists of two layers of parallel warps and two layers of vertical wefts; when the thread taking action is too large, a plurality of warps can be taken out, and redundant warps can be woven together, and the net surface is raised in the subsequent process period, so that the product quality is influenced. At present, whether the taken warps are redundant or not is mostly observed and judged by naked eyes through an operator, the efficiency is low, and the false alarm is easy to occur.
Disclosure of Invention
The invention aims to overcome the defect that the number of the taken warps is not detected at present, and provides a method and a device for detecting the taken warps, which can replace manual labor to find errors in time and give an alarm to stop damage, and improve the production efficiency.
In order to solve the technical problems, the invention adopts the technical scheme that:
the wire taking detection device comprises an adjustable bracket, wherein the adjustable bracket is connected with an image acquisition device, a wire taking device and a light absorption structure, and the wire taking device is positioned between the image acquisition device and the light absorption structure; the line taking detection device further comprises an image processing device and an alarm device in communication connection with the image processing device, and the image processing device is also in communication connection with the image acquisition device.
The invention comprises a line taking detection device, a line taking device, an image acquisition device, an image processing device and an alarm device, wherein the line taking device is used for taking lines, the image acquisition device is used for acquiring images of the line taking device during line taking, a light absorption structure is arranged for improving the resolution of the acquired images, the image processing device is used for processing the images acquired by the image acquisition device, and the alarm device is used for giving an alarm prompt according to the processing result of the image processing device; the adjustable support is arranged, so that the distance between the image acquisition device, the line taking device and the light absorption structure which are positioned on the adjustable support is adjustable relative to other devices, and the adjustability of the line taking detection device is improved.
Preferably, the thread taking device comprises a bottom plate and a blade which is inserted in the bottom plate in a sliding mode and used for hooking the warp threads.
Preferably, the blade is provided with a first barb and a second barb for hooking the warp threads.
Preferably, the blade is provided with a protruding part facilitating sliding of the blade, and the bottom plate is provided with a waist-shaped hole for matching with the protruding part to slide.
Preferably, the bottom sheet is provided with a notch structure for accommodating warps and a hollow part for accommodating the blade, and the notch structure is communicated with the hollow part.
Preferably, the adjustable support comprises a base, and a first rod, a second rod and a third rod which are connected with the base in a sliding manner; the first rod piece is connected with the image acquisition device in a sliding mode, the second rod piece is connected with the wire taking device in a sliding mode, and the third rod piece is connected with the light absorption structure in a sliding mode.
Preferably, a plurality of scale marks are arranged on the base.
The invention also provides a line taking detection method, which comprises the following steps:
s1, obtaining an image during line taking, wherein data of the image comprises meridian pixel data and non-meridian pixel data;
s2, after the step S1, taking a gray threshold T =0, and obtaining the inter-class variance of the longitude pixel data and the non-longitude pixel data under the condition;
s3, after the step S2, taking a gray threshold T = T +1, and obtaining an inter-class variance under the condition of the gray threshold T;
s4, the step S3 is circulated, circulation is stopped when T is larger than 255, and the gray threshold value when the maximum inter-class variance is obtained is the optimal gray threshold value;
s5, after the step S4, classifying the data of the image through the optimal gray threshold to obtain a meridian pixel group and a non-meridian pixel group;
s6, after the step S5, judging the number of the non-adjacent warp line pixel groups, if the number is larger than 1, giving an alarm, and if the number is equal to 1, executing a step S7;
s7, after the step S6, calculating the pixel width of the longitude pixel group in the step S5, comparing the pixel width with the given single longitude pixel width, and if the pixel width of the longitude pixel group is larger than the range value of the actual pixel width, giving an alarm prompt, otherwise, indicating that the line drawing is correct.
The invention also comprises a line-taking detection method, after the image during line-taking is obtained, the meridian part and the non-meridian part in the image are divided through the inter-class variance, and then the area with the largest inter-class variance is found out for analysis; when the number of the longitude-like pixel groups is more than 1, more than one longitude is taken; in order to prevent the product quality from being reduced after the redundant warp threads are woven, the alarm prompts operators to stop damage in time; when the number of the longitude pixel groups is equal to 1, the pixel width of the longitude pixel groups is analyzed again because a plurality of longitude lines can be wound; when the width of each longitude line is analyzed, because the width of each longitude line has a certain error, the given pixel width of a single longitude line is larger than the standard pixel width of the single longitude line, and a final line taking result is obtained through comparison.
Preferably, in step S2, the calculation formula of the inter-class variance ICV is:
ICV＝P warp yarn *(M Warp yarn -M Full pixel ) 2 +P Non-warp threads *(M Non-warp threads -M Full pixel ) 2 ；
Wherein, P Warp yarn Represents the ratio of the total number of meridian pixels to the total number of full pixels, M Warp yarn Mean value of gray levels, P, representing warp-like pixels Non-warp threads Representing the ratio of the total number of non-meridian pixels to the total number of full pixels, M Non-warp threads Mean value of gray scale, M, representing non-meridian pixels Full pixel Representing the gray scale average of a full pixel point.
Preferably, the ratio P of the total number of the meridian pixels to the total number of the full pixels Warp yarn The calculation formula of (c) is:
in the formula, N Warp yarn Representing the total number of the meridian pixels, and N represents the total number of the full pixels;
the proportion P of the total number of the non-meridian pixels to the total number of the full pixels Non-warp threads The calculation formula of (2) is as follows:
in the formula, N Non-warp threads Representing the total number of non-meridian type pixel points, and N representing the total number of full pixel points;
the gray average value M of the warp-like pixel points Warp yarn The calculation formula of (c) is:
in the formula, the gray value of each meridian pixel point represents the sum of the gray values of all the meridian pixel points, N Warp yarn Representing the total number of the longitude pixel points;
the gray average value M of the non-meridian pixel points Non-warp threads The calculation formula of (c) is:
in the formula, the gray value of each non-meridian pixel point represents the sum of the gray values of all non-meridian pixel points, N Non-warp threads Representing the total number of non-meridian pixel points;
the gray level average value M of the full pixel point Full pixel The calculation formula of (c) is:
in the formula, the gray value of each pixel point represents the sum of the gray values of all the pixel points, and N represents the total number of all the pixel points.
Compared with the prior art, the invention has the beneficial effects that:
the invention comprises a line taking detection device, a line taking device, an image acquisition device, an image processing device and an alarm device, wherein the line taking device is used for taking lines, the image acquisition device is used for acquiring images of the line taking device during line taking, a light absorption structure is arranged for improving the resolution of the acquired images, the image processing device is used for processing the images acquired by the image acquisition device, and the alarm device is used for giving an alarm prompt according to the processing result of the image processing device; the adjustable support is arranged, so that the distance between the image acquisition device, the line taking device and the light absorption structure which are positioned on the adjustable support is adjustable relative to other devices, and the adjustability of the line taking detection device is improved.
The invention also comprises a line-taking detection method, after the image during line-taking is obtained, the meridian part and the non-meridian part in the image are divided through the inter-class variance, and then the area with the largest inter-class variance is found out for analysis; when the number of the longitude-like pixel groups is more than 1, more than one longitude is taken out; in order to prevent the product quality from being reduced after the redundant warp threads are woven, the alarm prompts operators to stop damage in time; when the number of the longitude pixel groups is equal to 1, the pixel width of the longitude pixel groups is analyzed again because a plurality of longitude lines can be wound; when the width of each warp is analyzed, the width of each warp has a certain error, so that the given pixel width of a single warp is larger than the standard pixel width of the single warp, and a final line taking result is obtained by comparison.
Drawings
Fig. 1 is a schematic structural diagram of a wire-taking detection device according to the present invention.
Fig. 2 is a schematic view of the structure of the blade of the present invention.
FIG. 3 is a schematic view of the structure of a backsheet according to the present invention.
Fig. 4 is a first usage state diagram of the wire-taking detection device of the present invention.
Fig. 5 is a second usage state diagram of the wire-retrieving detection device of the present invention.
FIG. 6 is a flowchart of a line-taking detection method according to the present invention.
The graphic symbols are illustrated as follows:
1-an adjustable support, 11-a base, 12-a first rod piece, 13-a second rod piece, 14-a third rod piece, 15-a first connecting ring, 16-a second connecting ring, 17-a sliding piece, 2-an image acquisition device, 3-a thread taking device, 31-a blade, 311-a first barb, 312-a second barb, 313-a convex part, 32-a negative plate, 321-a notch structure, 322-a waist-shaped hole, 323-a hollow part, 4-a light absorption structure, 5-an image processing device and 6-an alarm device.
Detailed Description
The present invention will be further described with reference to the following embodiments. Wherein the showings are for the purpose of illustration only and are shown by way of illustration only and not in actual form, and are not to be construed as limiting the present patent; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of the description, but it is not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation and operate, and therefore the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and it is possible for one of ordinary skill in the art to understand the specific meaning of the above terms according to the specific situation.
Example 1
Fig. 1 to 5 show an embodiment of a thread taking detection device according to the present invention, which includes an adjustable bracket 1, the adjustable bracket 1 is connected with an image acquisition device 2, a thread taking device 3, and a light absorption structure 4, the thread taking device 3 is located between the image acquisition device 2 and the light absorption structure 4; the line taking detection device further comprises an image processing device 5 and an alarm device 6 which is in communication connection with the image processing device 5, and the image processing device 5 is in communication connection with the image acquisition device 2.
The line taking device 3 is used for taking lines, the image acquisition device 2 is used for acquiring images of the line taking device 3 during line taking, the light absorption structure 4 is arranged for improving the resolution of the acquired images, the image processing device 5 is used for processing the images acquired by the image acquisition device 2, and the alarm device 6 is used for giving an alarm prompt according to the processing result of the image processing device 5; the arrangement of the adjustable support 1 enables the distance between the image acquisition device 2, the line taking device 3 and the light absorption structure 4 which are arranged on the adjustable support 1 to be adjustable relative to other devices, and the adjustability and the operability of the line taking detection device are improved.
As shown in fig. 1 to 5, the light absorbing structure 4 in this embodiment is a light absorbing cloth, and since the warp is white in practice, the light absorbing cloth is selected from black, so as to improve the resolution. The image acquisition device 2 selects a linear CCD camera; the alarm device 6 can be an LED lamp or a buzzer, or the LED lamp and the buzzer can be in communication connection with the image processing device 5; the image processing device 5 is a single chip microcomputer.
In addition, the thread taking device 3 comprises a bottom plate 32 and a blade 31 which is inserted in the bottom plate 32 in a sliding way. The blade 31 is provided with a first barb 311 and a second barb 312 for hooking warp threads. The blade 31 is provided with a convex part 313 for facilitating the sliding of the blade 31, and the bottom sheet 32 is provided with a waist-shaped hole 322 for matching the convex part 313 to slide. The bottom sheet 32 is provided with a notch structure 321 for accommodating warp threads and a hollow part 323 for accommodating the blade 31, and the notch structure 321 is communicated with the hollow part 323. The provision of the notch structure 321 in communication with the hollow 323 enables the blade 31 to be exposed from the notch structure 321 to hook a warp thread.
As shown in fig. 2, the bottom sheet 32 is strip-shaped, the protrusion 313 is cylindrical, and the first barb 311 and the second barb 312 are opposite in direction, so that the blade 31 can hook warps when moving leftwards or rightwards, as shown in fig. 4 and 5. The notch structure 321 in this embodiment is a rectangular notch.
In addition, the adjustable bracket 1 comprises a base 11, and a first rod 12, a second rod 13 and a third rod 14 which are connected with the base 11 in a sliding way; the first rod 12 is connected with the image acquisition device 2 in a sliding manner, the second rod 13 is connected with the thread taking device 3 in a sliding manner, and the third rod 14 is connected with the light absorption structure 4 in a sliding manner. The base 11 is provided with a plurality of scale marks.
As shown in fig. 1, 4 and 5, the first rod 12 is connected with the image capturing device 2 through a first connecting ring 15 and a connecting rod; one end of the connecting rod is connected with the image acquisition device 2 through a bolt, and the other end of the connecting rod is fixedly connected with the first connecting ring 15. The second rod piece 13 is also connected with the wire taking device 3 through a first connecting ring 15 and a connecting rod; one end of the connecting rod is connected with the bottom sheet 32 through a bolt, and the other end is fixedly connected with the first connecting ring 15. The height position of the image acquisition device 2 or the thread taking device 3 is adjusted by sliding the first connecting ring 15 on the first rod piece 12 or the second rod piece 13, and the first connecting ring 15 is further provided with a bolt for locking, so that the image acquisition device 2 or the thread taking device 3 can be fixed on a certain height. The light absorption structure 4 is connected with the third rod 14 through a sliding part 17, and the height position of the light absorption structure 4 is adjusted by sliding the sliding part 17 on the third rod 14; the sliding member 17 is also provided with a bolt for locking so that the light absorbing structure 4 can be fixed at a certain height. The sliding member 17 has an inverted L-shaped structure, one side of which is used to connect the light absorbing cloth by a clamping member such as a clip, and the other side of which is used to slide on the third rod member 14. The first rod 12, the second rod 13, the third rod 14 and the base 11 are connected in a sliding manner through a second connecting ring 16, so that the distances between the image acquisition device 2 and the thread taking device 3, and between the thread taking device 3 and the light absorption structure 4 can be adjusted.
Example 2
Fig. 6 shows an embodiment of a line-taking detection method according to the present invention, which includes the following steps:
s1, adjusting the distance between an image acquisition device 2 and a light absorption structure 4 through an adjustable support 1 to enable the acquisition range of the image acquisition device 2 to be smaller than the outline of the light absorption structure 4; adjusting the relative height between the image acquisition device 2 and the thread taking device 3 to ensure that the image acquisition device 2 can acquire an image of the thread taking device 3 during thread taking; adjusting the distance between the wire taking device 3 and the light absorption structure 4 to be 30-50 mm; then, an image of the thread taking device 3 during the process of taking the warp thread is acquired through the image acquisition device 2, and the data of the image comprises warp thread pixel data and non-warp thread pixel data; in this embodiment, the horizontal distance between the image capturing device 2 and one end of the negative film 32 is adjusted to be 50mm, and the horizontal distance between the light absorbing structure 4 and the other end of the negative film 32 is adjusted to be 30mm;
s2, after the step S1, taking a gray threshold T =0, and obtaining the inter-class variance of the longitude pixel data and the non-longitude pixel data under the condition;
the calculation formula of the inter-class variance ICV is as follows:
ICV＝P warp yarn *(M Warp yarn -M Full pixel ) 2 +P Non-warp threads *(M Non-warp threads -M Full pixel ) 2 ；
Wherein, P Warp yarn Represents the ratio of the total number of meridian pixels to the total number of full pixels, M Warp yarn Mean value of gray levels, P, representing meridian-like pixels Non-warp threads Representing the ratio of the total number of non-meridian pixels to the total number of full pixels, M Non-warp threads Mean value of gray scale, M, representing non-meridian pixels Full pixel Representing a gray level average of all pixel points;
wherein, the ratio P of the total number of the longitude-type pixel points to the total number of the full pixel points Warp yarn The calculation formula of (c) is:
in the formula, N Warp yarn Representing the total number of the meridian type pixel points, and N representing the total number of the full pixel points;
proportion P of total number of non-meridian pixels to total number of full pixels Non-warp threads The calculation formula of (2) is as follows:
in the formula, N Non-warp threads Representing the total number of non-meridian type pixel points, and N representing the total number of full pixel points;
mean value M of gray levels of longitude-like pixel points Warp yarn The calculation formula of (2) is as follows:
in the formula, the gray value of each meridian pixel point represents the sum of the gray values of all the meridian pixel points, N Warp yarn Representing the total number of the longitude pixel points;
gray level average value M of non-meridian pixel points Non-warp threads The calculation formula of (2) is as follows:
where Σ is per non-meridianThe gray value of a pixel represents the sum of the gray values of all non-meridian pixels, N Non-warp threads Representing the total number of non-meridian pixel points;
average value M of gray scale of all pixel points Full pixel The calculation formula of (2) is as follows:
in the formula, the gray value of each pixel point represents the sum of the gray values of all the pixel points, and N represents the total number of all the pixel points;
s3, after the step S2, taking a gray threshold T = T +1, and obtaining an inter-class variance under the condition of the gray threshold T;
s4, circulating the step S3 when T is reached>Stopping circulation at 255, obtaining total 256 inter-class variances at 255, finding out maximum inter-class variance from the 256 inter-class variances, and obtaining the gray threshold value of the maximum inter-class variance as the optimal gray threshold value T ICV max ；
S5, after the step S4, passing the optimal gray threshold value T ICV max Binarizing the image, and then classifying to obtain a meridian pixel group and a non-meridian pixel group; at the moment, each pixel point has respective category;
s6, after the step S5, judging the number of the non-adjacent warp line pixel groups, and if the number is more than 1, giving an alarm through an alarm device 6; if the number is equal to 1, executing step S7;
s7, after the step S6, calculating the pixel width of the longitude-type pixel group in the step S5, comparing the pixel width with the pixel width of a given single longitude, and judging that more than one longitude is wound if the pixel width of the longitude-type pixel group is larger than the range value of the actual pixel width, so that an alarm device 6 is used for giving an alarm prompt; otherwise, it indicates that the line is taken correctly.
In step S7, the common warp types include thin warps and thick warps, the standard pixel width of a single thin warp is about 20 continuous pixel points, and the standard pixel width of a single thick warp is about 30 continuous pixel points. Thus, when thin warp threads are used in the polyester mesh, the pixel width of a given single warp thread is set to 23 consecutive pixel points; when thick warp threads are used in the polyester mesh, the pixel width of a given single warp thread is set to 33 consecutive pixel points.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (5)
1. The line taking detection device is characterized by comprising an adjustable support (1), wherein an image acquisition device (2), a line taking device (3) and a light absorption structure (4) are connected to the adjustable support (1), and the line taking device (3) is positioned between the image acquisition device (2) and the light absorption structure (4); the line taking detection device further comprises an image processing device (5) and an alarm device (6) in communication connection with the image processing device (5), wherein the image processing device (5) is in communication connection with the image acquisition device (2); wherein:
the thread taking device (3) comprises a bottom plate (32) and a blade (31) which is inserted in the bottom plate (32) in a sliding way and used for hooking warp threads; a first barb (311) and a second barb (312) for hooking warps are arranged on the blade (31); the blade (31) is provided with a convex part (313) which is convenient for sliding the blade (31), and the bottom plate (32) is provided with a waist-shaped hole (322) which is matched with the convex part (313) to slide; the bottom sheet (32) is provided with a notch structure (321) for accommodating warps, and is also provided with a hollow part (323) for accommodating the blade (31), and the notch structure (321) is communicated with the hollow part (323);
the adjustable support (1) comprises a base (11), and a first rod piece (12), a second rod piece (13) and a third rod piece (14) which are connected with the base (11) in a sliding manner; the first rod piece (12) is connected with the image acquisition device (2) in a sliding mode, the second rod piece (13) is connected with the wire taking device (3) in a sliding mode, and the third rod piece (14) is connected with the light absorption structure (4) in a sliding mode.
2. The thread take-off detection device according to claim 1, wherein the base (11) is provided with a plurality of scale marks.
3. A line-taking detection method applied to claim 1 or 2, characterized by comprising the steps of:
s1, acquiring an image during line taking, wherein data of the image comprises meridian pixel data and non-meridian pixel data;
s2, after the step S1, taking a gray threshold T =0, and obtaining the inter-class variance of the longitude pixel data and the non-longitude pixel data under the condition;
s3, after the step S2, taking a gray threshold T = T +1, and obtaining an inter-class variance under the condition of the gray threshold T;
s4, the step S3 is circulated, circulation is stopped when T is larger than 255, and the gray threshold value when the maximum inter-class variance is obtained is the optimal gray threshold value;
s5, after the step S4, classifying the data of the image through an optimal gray threshold to obtain a meridian pixel group and a non-meridian pixel group;
s6, after the step S5, judging the number of the non-adjacent warp line pixel groups, if the number is larger than 1, giving an alarm, and if the number is equal to 1, executing a step S7;
s7, after the step S6, calculating the pixel width of the longitude pixel group in the step S5, comparing the pixel width with the given single longitude pixel width, and if the pixel width of the longitude pixel group is larger than the range value of the actual pixel width, giving an alarm prompt, otherwise, indicating that the line drawing is correct.
4. The line-taking detection method according to claim 3,characterized in that in step S2, the inter-class varianceICVThe calculation formula of (2) is as follows:
wherein the content of the first and second substances,
representing the proportion of the total number of the linear pixel points to the total number of the full pixel points,
the gray level average value of the meridian-like pixel points is represented,
the proportion of the total number of the non-meridian pixels to the total number of the full pixels is represented,
the gray level average value of the non-meridian pixels is represented,
representing the gray scale average of a full pixel point.
5. The method according to claim 4, wherein the ratio of the total number of meridian-like pixels to the total number of full pixels is
The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,
the total number of the pixel points in the meridian class is represented,Nrepresenting the total number of full pixel points;
the proportion of the total number of the non-meridian pixels to the total number of the full pixels
The calculation formula of (c) is:
in the formula (I), the compound is shown in the specification,
represents the total number of non-meridian pixels,Nrepresenting the total number of full pixel points;
the gray level average value of the longitude pixel points
The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,
represents the sum of the gray values of all the meridian-like pixel points,
representing the total number of the longitude pixel points;
the gray average value of the non-meridian pixel points
The calculation formula of (2) is as follows:
in the formula (I), the compound is shown in the specification,
representing the sum of the gray values of all non-meridian like pixels,
representing the total number of non-meridian pixel points;
the gray average value of the full pixel point
The calculation formula of (c) is:
in the formula (I), the compound is shown in the specification,
represents the sum of the gray values of all the pixel points,
representing the total number of full pixel points.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010357609.XA CN111598852B (en) | 2020-04-29 | 2020-04-29 | Wire taking detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010357609.XA CN111598852B (en) | 2020-04-29 | 2020-04-29 | Wire taking detection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111598852A CN111598852A (en) | 2020-08-28 |
| CN111598852B true CN111598852B (en) | 2023-03-14 |
Family
ID=72186906
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010357609.XA Active CN111598852B (en) | 2020-04-29 | 2020-04-29 | Wire taking detection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111598852B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110298840A (en) * | 2019-07-10 | 2019-10-01 | 哈尔滨理工大学 | A kind of yarn faults detection method based on image |
| CN209516277U (en) * | 2018-12-28 | 2019-10-18 | 苏州科维思电子科技有限公司 | The line taking system of full-automatic multi-thread beam double end terminal crimping apparatus |
-
2020
- 2020-04-29 CN CN202010357609.XA patent/CN111598852B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN209516277U (en) * | 2018-12-28 | 2019-10-18 | 苏州科维思电子科技有限公司 | The line taking system of full-automatic multi-thread beam double end terminal crimping apparatus |
| CN110298840A (en) * | 2019-07-10 | 2019-10-01 | 哈尔滨理工大学 | A kind of yarn faults detection method based on image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111598852A (en) | 2020-08-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Huang et al. | Woven fabric analysis by image processing: Part I: Identification of weave patterns | |
| CN108364291A (en) | Grey cloth rapid detection method based on computer vision technique | |
| CN113780185B (en) | Weft angle detection method and device based on carbon fibers and storage medium | |
| CN113838038B (en) | Carbon fiber cloth cover defect detection method and device, electronic equipment and storage medium | |
| CN113781447B (en) | Weft yarn gap detection method and device based on carbon fibers and storage medium | |
| DE69923048T2 (en) | Effective test method for classifying the image quality of an optical sensor using three pixel categories | |
| CN113870233B (en) | Binding yarn detection method, computer equipment and storage medium | |
| JP3063719B2 (en) | Woven cloth inspection equipment | |
| CN108315852B (en) | Spinning machine threading method and device | |
| CN111598852B (en) | Wire taking detection method and device | |
| CN101096819A (en) | Organization discrimination method of fabrics | |
| CN106959301B (en) | Nonwoven fabric stain detection system and nonwoven fabric stain detection method | |
| CN115471504B (en) | Automatic thread end identification method based on textile fabric | |
| CN115508282B (en) | Online intelligent cloth inspection detection system | |
| JP3013789B2 (en) | Woven cloth inspection device and inspection method | |
| CN109165650A (en) | PRINTED FABRIC image minimum repetitive unit automatic testing method | |
| CN109919028B (en) | Flexible coordinate system establishing and shape identifying method based on fabric weave structure | |
| JP2019120644A (en) | Surface inspection device and surface inspection method | |
| JPS62231069A (en) | Method for detecting defect of cloth inspecting machine | |
| CN114827584B (en) | Method, system, equipment and medium for detecting defocus blur of fixed-focus camera | |
| CN117670843B (en) | Method, device, equipment and storage medium for detecting broken yarn of color yarn | |
| CN117670840A (en) | Method, device, equipment and storage medium for detecting black foreign matter on edge | |
| KR101537552B1 (en) | The Device of the Automatic Detection of Type-I Yarn Package Winding-form Error Using Quadrantal Dissection Image Processing and thereof the Method | |
| CN117745702A (en) | Carbon fiber cloth cover horizontal bar detection method, device, equipment and storage medium | |
| Liqing et al. | Automatic recognition of fabric structures based on digital image decomposition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |