CN113781446A - Method and device for detecting greasy dirt on glass fiber surface, storage medium and electronic equipment - Google Patents
Method and device for detecting greasy dirt on glass fiber surface, storage medium and electronic equipment Download PDFInfo
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- 239000003365 glass fiber Substances 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000012216 screening Methods 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000011109 contamination Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 4
- 239000012535 impurity Substances 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
Abstract
The invention relates to the technical field of image processing, in particular to a method and a device for detecting oil stains on the surface of glass fiber, a storage medium and electronic equipment; the method comprises the following steps of obtaining a template image: shooting an image of a glass fiber sample piece with greasy dirt on the surface and carrying out gray processing to obtain a template image; selecting a template area: selecting a template area in an oil stain area of the template image; acquiring an image to be detected: shooting an image of the surface of the glass fiber to be detected for graying processing to obtain an image to be detected; screening suspicious regions: traversing areas of the template area size in the image to be detected, and recording the sum of gray values of all pixel points in each area as mul; if the mul is in the suspicious threshold interval, marking the corresponding area as a suspicious area; judging an oil stain area: calculating the gray values of each pixel point in the suspicious region and the template region to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area. The invention can detect the oil stain on the surface of the glass fiber with high accuracy and high efficiency.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a method and a device for detecting oil stains on the surface of glass fiber, a storage medium and electronic equipment.
Background
The glass fiber is an inorganic non-metallic material with excellent performance, has the advantages of good insulativity, strong heat resistance, good corrosion resistance, high mechanical strength and the like, and is widely applied in a plurality of fields. During the production process, oil drops are exposed or splashed on the surface of the glass fiber, so that oil stains are formed on the surface of the glass fiber, and the normal use of the glass fiber is influenced. The oil stain is usually detected by adopting a manual identification mode in the prior art, the detection efficiency is lower, the condition of missed detection is easy to occur, and the influence on production is larger.
In view of the above problems, the designer provides a method, a device, a storage medium and an electronic device for detecting oil stains on the surface of glass fibers based on practical experience and professional knowledge that is abundant over years in engineering application of such products and by cooperating with the application of theory and actively carrying out research and innovation, so that the detection accuracy of the oil stains on the surface of the glass fibers is improved, and the detection efficiency is improved.
Disclosure of Invention
The invention aims to provide a method and a device for detecting oil stains on the surface of glass fiber, a storage medium and electronic equipment aiming at the defects in the prior art, and solves the problems that the efficiency of manually identifying the oil stains is low and the oil stains are easy to miss detection in the prior art.
In order to achieve the aim, the invention provides a method for detecting oil stains on the surface of glass fiber, which comprises the following steps:
acquiring a template image: shooting an image of a glass fiber sample piece with greasy dirt on the surface, and carrying out gray processing on the image to obtain a template image;
selecting a template area: selecting a region with the length and the width of 3 pixels from an oil stain region on the template image as a template region; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
Acquiring an image to be detected: shooting an image of the surface of the glass fiber to be detected, and carrying out gray processing on the image to obtain an image to be detected;
screening suspicious regions: traversing all the areas with the length and the width of 3 pixels in the image to be detected, and recording all the pixel points in each areaThe sum of the gray values is mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, recording a corresponding area as a suspicious area;
judging an oil stain area: subtracting the gray value of each pixel point in the suspicious region from the gray value of each pixel point in the template region, and adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
Further, in the step of obtaining the template picture and the image to be detected, the specific steps of the graying processing include:
acquiring R, G, B color component values of each pixel point on the color image, calculating corresponding gray values, and replacing RGB information of the corresponding pixel points with gray value information to form a gray image;
the calculation formula of the gray value g of the pixel point is as follows: g =0.15 × R +0.43 × G +0.21 × B.
Further, in the step of selecting the template area, a plurality of areas with the length and the width of 3 pixels are selected from the oil stain area on the gray-scale image, the gray-scale values of the pixel points at the corresponding positions in all the areas are averaged, and the average value calculated by using each corresponding position is used for forming the template area.
Further, in the step of screening suspicious regions, the specific setting step of the suspicious threshold interval is as follows:
calculating the average gray value of all pixel points of the template image and recording as gray0Calculating the average gray value of all pixel points of the image to be detected and recording the average gray value as gray, and calculating the compensation value d = gray-gray0；
The suspicious threshold interval is specifically set as: [ mul)0-k+d,mul0+k+d]；
Wherein k is a constant and is set according to the use requirement.
Further, in the step of judging the oil stain area, the judgment threshold interval is specifically set as: [ -j + d, j + d ];
wherein j is a constant and is set according to the use requirement.
Further, after the step of judging the oil stain area, the method further comprises the following steps of:
parameter checking: and comparing the oil stain area judged in the step of judging the oil stain area with the real oil stain area on the surface of the glass fiber to be detected, adjusting the values of k and j according to the difference condition, then re-executing the steps of screening the suspicious area and judging the oil stain area until the judged oil stain area is the same as the real oil stain area on the surface of the glass fiber to be detected, and finishing the verification.
The invention also provides a device for detecting the oil stain on the surface of the glass fiber, which comprises:
the photographing module is used for photographing an image of the glass fiber sample piece with oil stains on the surface and an image of the surface of the glass fiber to be measured;
the template image acquisition module is used for carrying out gray processing on the image of the glass fiber sample piece with oil stains on the surface to obtain a template image;
the template area selecting module is used for selecting an area with the length and the width of 3 pixels as a template area in an oil stain area on the gray level image; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
The device comprises an image acquisition module to be detected, a processing module and a display module, wherein the image acquisition module is used for carrying out gray processing on an image on the surface of a glass fiber to be detected to obtain an image to be detected;
the suspicious region screening module is used for traversing all regions with the length and the width of 3 pixels in the image to be detected, and recording the sum of gray values of all pixel points in each region as mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, recording a corresponding area as a suspicious area;
the oil stain area judgment module is used for subtracting the gray value of each pixel point in the suspicious area from the gray value of each pixel point in the template area and then adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
The invention also provides a storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the method for detecting the oil stain on the surface of the glass fiber is realized.
The present invention also provides an electronic device, comprising: the oil stain detection method comprises a processor and a memory, wherein computer readable instructions are stored on the memory, and when the computer readable instructions are executed by the processor, the oil stain detection method for the glass fiber surface is realized.
Through the technical scheme of the invention, the following technical effects can be realized:
according to the method for detecting the oil stain on the surface of the glass fiber, the real oil stain is used as a template through the steps of obtaining a template image and selecting a template area, and then the area in the image of the surface of the glass fiber to be detected is screened twice by using the template area through two steps of screening a suspicious area and judging the oil stain area, so that the detection accuracy of the oil stain on the surface of the glass fiber can be effectively improved; the provided glass fiber surface oil stain detection device, storage medium and electronic equipment can replace manual work to detect, and then improve detection efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for detecting oil stains on a glass fiber surface according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for detecting oil contamination on the surface of a glass fiber in the embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like are based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
A method for detecting oil stains on the surface of glass fiber comprises the following steps as shown in figure 1:
acquiring a template image: shooting an image of a glass fiber sample piece with greasy dirt on the surface, and carrying out gray processing on the image to obtain a template image;
selecting a template area: selecting a region with the length and the width of 3 pixels from an oil stain region on the template image as a template region; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
Acquiring an image to be detected: shooting an image of the surface of the glass fiber to be detected, and carrying out gray processing on the image to obtain an image to be detected;
screening suspicious regions: traversing all areas with the length and the width of 3 pixels in the image to be detected, and recording the sum of gray values of all pixel points in each area as mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, recording a corresponding area as a suspicious area;
judging an oil stain area: subtracting the gray value of each pixel point in the suspicious region from the gray value of each corresponding pixel point in the template region, for example, subtracting the gray value of the pixel point in the 1 st row and the 1 st column in the suspicious region from the pixel value of the pixel point in the 1 st row and the 1 st column in the template region to obtain a difference value, calculating the gray value difference values between the pixel points at all corresponding positions, and then adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
The template image acquisition and the template area selection are only executed once, and then the image to be detected, the suspicious area screening and the greasy dirt area judgment are repeatedly acquired, so that the greasy dirt detection can be gradually carried out on the whole glass fiber surface.
By the steps of obtaining a template image and selecting a template area, the color information of the real oil stain is used as a template, so that the detection accuracy of the method is improved; the glass fiber is white, the oil stain is dark generally, and therefore after the oil stain is converted into a gray image, areas which are close to the oil stain color of the template area in the image to be detected can be screened out through the step of screening suspicious areas, then the oil stain areas are judged, the influence of impurities is filtered, and the detection accuracy of the oil stain on the surface of the glass fiber can be effectively improved.
Specifically, the image to be detected not only contains glass fibers and oil stains, but also possibly contains black impurities and noise points, the sizes of the impurities and the noise points usually only occupy 1-2 pixel points, and the gray value is very low, so that the oil stains can be judged, and therefore, by setting the template area with the length and the width of 3 pixels for judgment, the influence of the impurities and the noise points can be better removed in the subsequent steps; in the step of determining the oil stain area, the difference between each pixel point corresponding to the image area to be determined and the template area is calculated and summed, if there are impurities and noise points in the image area to be determined, the value of the determination value jud will change greatly, for example, the normal gray scale value of the template area is about 100, the gray scale value of the oil stain area in the image area to be determined is about 100, the gray scale values of the non-oil stain areas are all close to 255, and the gray scale values of the impurities and the noise points are generally 0-20, so that after the difference is determined, the numerical difference between different areas will be large, and the real oil stain area can be screened out by setting the determination threshold interval.
In the steps of obtaining the template picture and obtaining the image to be detected, the graying treatment comprises the following specific steps:
acquiring R, G, B color component values of each pixel point on the color image, calculating corresponding gray values, and replacing RGB information of the corresponding pixel points with gray value information to form a gray image;
the calculation formula of the gray value g of the pixel point is as follows: g =0.15 × R +0.43 × G +0.21 × B.
Specifically, the conventional calculation formula of the Gray value is Gray = R0.299 + G0.587 + B0.114, but the oil stain area on the Gray image to be measured formed by using the conventional formula is not obvious, so that the weight of the blue B component is increased, the weights of the red R component and the green G component are reduced, the difference between the oil stain and the glass fiber on the image to be measured formed by the formula is larger, and the screening of the subsequent steps is facilitated.
In the step of selecting the template area, a plurality of areas with the length and the width of 3 pixels are selected in the oil stain area on the gray scale image, the gray scale values of the pixel points at the corresponding positions in all the areas are averaged, the template area is formed by using the average value calculated by the corresponding positions, for example, the average value of the gray scale values of the pixel points at the 1 st row and the 1 st column in each area is recorded as the gray scale value of the pixel points at the 1 st row and the 1 st column in the template area, so that the specificity of the template area is reduced, and the phenomenon that the accuracy of judging the oil stain area is influenced by the area selected on the template image is avoided.
In the step of screening suspicious regions, the specific setting step of the suspicious threshold interval is as follows:
calculating the average gray value of all pixel points of the template image and recording as gray0Calculating the average gray value of all pixel points of the image to be detected and recording the average gray value as gray, and calculating the compensation value d = gray-gray0；
The suspicious threshold interval is specifically set as: [ mul)0-k+d,mul0+k+d]；
Wherein k is a constant and is set according to the use requirement.
In the step of judging the oil stain area, the judgment threshold interval is specifically set as: [ -j + d, j + d ];
wherein j is a constant and is set according to the use requirement.
Specifically, when an image of the surface of the glass fiber to be detected is shot each time, light on the surface of the glass fiber inevitably changes, for example, shadows fall on the surface of the glass fiber or other light irradiates the surface of the glass fiber, so that gray values of each obtained image to be detected are different to a certain extent, and the images are not suitable for screening and judging by using a fixed suspicious threshold interval and a judgment threshold interval, so that a compensation value d is led out, specific numerical values of the suspicious threshold interval and the judgment threshold interval can change according to the gray condition of each image to be detected, and the accuracy of oil stain detection can be improved.
After the step of judging the oil stain area, the method also comprises the following steps:
parameter checking: and comparing the oil stain area judged in the step of judging the oil stain area with the real oil stain area on the surface of the glass fiber to be detected, adjusting the values of k and j according to the difference condition, then re-executing the steps of screening the suspicious area and judging the oil stain area until the judged oil stain area is the same as the real oil stain area on the surface of the glass fiber to be detected, and finishing the verification. This step is applicable to the condition of carrying out greasy dirt detection for the first time.
Specifically, since k and j are artificially set values, the reliability of k and j needs to be verified, when oil contamination detection is performed for the first time, k and j can be adjusted to optimal parameters through a parameter verification step, and the subsequent oil contamination detection can be performed while maintaining the values of k and j.
The invention also provides a device for detecting oil stain on the surface of the glass fiber, as shown in fig. 2, comprising:
the photographing module is used for photographing an image of the glass fiber sample piece with oil stains on the surface and an image of the surface of the glass fiber to be measured;
the template image acquisition module is used for carrying out gray processing on the image of the glass fiber sample piece with oil stains on the surface to obtain a template image;
the template area selecting module is used for selecting an area with the length and the width of 3 pixels as a template area in an oil stain area on the gray level image; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
The device comprises an image acquisition module to be detected, a processing module and a display module, wherein the image acquisition module is used for carrying out gray processing on an image on the surface of a glass fiber to be detected to obtain an image to be detected;
the suspicious region screening module is used for traversing all regions with the length and the width of 3 pixels in the image to be detected, and recording the sum of gray values of all pixel points in each region as mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, recording a corresponding area as a suspicious area;
the oil stain area judgment module is used for subtracting the gray value of each pixel point in the suspicious area from the gray value of each pixel point in the template area and then adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
The invention also provides a storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the method for detecting the oil stain on the glass fiber surface is realized.
The present invention also provides an electronic device comprising: the oil stain detection method comprises a processor and a memory, wherein computer readable instructions are stored on the memory, and when being executed by the processor, the computer readable instructions realize the oil stain detection method for the glass fiber surface.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The method for detecting the oil stain on the surface of the glass fiber is characterized by comprising the following steps:
acquiring a template image: shooting an image of a glass fiber sample piece with greasy dirt on the surface, and carrying out gray processing on the image to obtain a template image;
selecting a template area: selecting a region with the length and the width of 3 pixels from an oil stain region on the template image as a template region; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
Acquiring an image to be detected: shooting an image of the surface of the glass fiber to be detected, and carrying out gray processing on the image to obtain an image to be detected;
screening suspicious regions: traversing all areas with the length and the width of 3 pixels in the image to be detected, and recording the sum of gray values of all pixel points in each area as mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, marking the corresponding area as suspiciousAn area;
judging an oil stain area: subtracting the gray value of each pixel point in the suspicious region from the gray value of each corresponding pixel point in the template region, and adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
2. The method for detecting the oil stain on the surface of the glass fiber according to claim 1, wherein in the steps of obtaining the template picture and obtaining the image to be detected, the specific steps of graying treatment comprise:
acquiring R, G, B color component values of each pixel point on the color image, calculating corresponding gray values, and replacing RGB information of the corresponding pixel points with gray value information to form a gray image;
the calculation formula of the gray value g of the pixel point is as follows: g =0.15 × R +0.43 × G +0.21 × B.
3. The method for detecting the oil stain on the surface of the glass fiber according to claim 1, wherein in the step of selecting the template area, a plurality of areas with the length and the width of 3 pixels are selected from the oil stain area on the gray scale image, the gray scale values of the pixel points at the corresponding positions in all the areas are averaged, and the template area is formed by using the average value calculated at each corresponding position.
4. The method for detecting oil contamination on the surface of glass fiber according to claim 1, wherein in the step of screening the suspicious region, the specific setting step of the suspicious threshold interval comprises the following steps:
calculating the average gray value of all pixel points of the template image and recording as gray0Calculating the average gray value of all pixel points of the image to be detected and recording the average gray value as gray, and calculating the compensation value d = gray-gray0；
The suspicious threshold interval is specifically set as: [ mul)0-k+d,mul0+k+d]；
Wherein k is a constant and is set according to the use requirement.
5. The method for detecting the oil stain on the surface of the glass fiber according to claim 3, wherein in the step of judging the oil stain area, the judgment threshold interval is specifically set as follows: [ -j + d, j + d ];
wherein j is a constant and is set according to the use requirement.
6. The method for detecting greasy dirt on the surface of glass fiber according to claim 4, further comprising the following steps after the step of judging the greasy dirt area:
parameter checking: and comparing the oil stain area judged in the step of judging the oil stain area with the real oil stain area on the surface of the glass fiber to be detected, adjusting the values of k and j according to the difference condition, then re-executing the steps of screening the suspicious area and judging the oil stain area until the judged oil stain area is the same as the real oil stain area on the surface of the glass fiber to be detected, and finishing the verification.
7. The utility model provides a glass fiber surface greasy dirt detection device which comprises:
the photographing module is used for photographing an image of the glass fiber sample piece with oil stains on the surface and an image of the surface of the glass fiber to be measured;
the template image acquisition module is used for carrying out gray processing on the image of the glass fiber sample piece with oil stains on the surface to obtain a template image;
the template area selecting module is used for selecting an area with the length and the width of 3 pixels as a template area in an oil stain area on the gray level image; calculating the sum of gray values of all pixel points in the template area and recording the sum as mul0；
The device comprises an image acquisition module to be detected, a processing module and a display module, wherein the image acquisition module is used for carrying out gray processing on an image on the surface of a glass fiber to be detected to obtain an image to be detected;
the suspicious region screening module is used for traversing all regions with the length and the width of 3 pixels in the image to be detected, and recording the sum of gray values of all pixel points in each region as mul; according to mul0Setting a suspicious threshold interval, and if mul is in the suspicious threshold interval, recording a corresponding area as a suspicious area;
the oil stain area judgment module is used for subtracting the gray value of each pixel point in the suspicious area from the gray value of each pixel point in the template area and then adding all the difference values to obtain a judgment value jud; and setting a judgment threshold interval, and if jud is in the suspicious threshold interval, recording the corresponding area as an oil stain area.
8. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for detecting greasy dirt on glass fiber surface according to any one of claims 1 to 6.
9. An electronic device, comprising: a processor and a memory, wherein the memory stores computer readable instructions, and the computer readable instructions when executed by the processor realize the method for detecting the greasy dirt on the surface of the glass fiber according to any one of claims 1 to 6.
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| CN115015290A (en) * | 2022-05-19 | 2022-09-06 | 常州市新创智能科技有限公司 | Foreign matter detection method and device for glass fiber cloth cover |
| CN115100144A (en) * | 2022-06-23 | 2022-09-23 | 常州市新创智能科技有限公司 | Method and device for detecting scraps in glass fiber cloth production process |
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| JIN XIE ET AL.: ""Effective Texture Classi cation by Texton Encoding Induced Statistical Features"", 《PATTERN RECOGNITION》 * |
| 周继坤: ""玻纤布疵点识别和检测的研究"", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅰ辑》 * |
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| CN114677337A (en) * | 2022-03-11 | 2022-06-28 | 常州市新创智能科技有限公司 | Method and device for detecting oil stains on carbon fiber cloth surface |
| CN115015290A (en) * | 2022-05-19 | 2022-09-06 | 常州市新创智能科技有限公司 | Foreign matter detection method and device for glass fiber cloth cover |
| CN115100144A (en) * | 2022-06-23 | 2022-09-23 | 常州市新创智能科技有限公司 | Method and device for detecting scraps in glass fiber cloth production process |
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