CN112304876A - Cotton color degree detection device and detection method based on machine vision - Google Patents
Cotton color degree detection device and detection method based on machine vision Download PDFInfo
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- 229920000742 Cotton Polymers 0.000 title claims abstract description 155
- 238000001514 detection method Methods 0.000 title claims abstract description 64
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- 230000001502 supplementing effect Effects 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 10
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- 238000003384 imaging method Methods 0.000 claims description 3
- 239000002932 luster Substances 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 abstract description 2
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- 239000013589 supplement Substances 0.000 description 6
- 239000004753 textile Substances 0.000 description 5
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- 238000003825 pressing Methods 0.000 description 3
- 238000002310 reflectometry Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
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- 235000016761 Piper aduncum Nutrition 0.000 description 1
- 235000017804 Piper guineense Nutrition 0.000 description 1
- 244000203593 Piper nigrum Species 0.000 description 1
- 235000008184 Piper nigrum Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009960 carding Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000000356 contaminant Substances 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
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- 239000000835 fiber Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
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- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
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- 238000011179 visual inspection Methods 0.000 description 1
- 229910052724 xenon Inorganic materials 0.000 description 1
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Abstract
The invention discloses a cotton color degree detection device and method based on machine vision, which comprises a pneumatic device arranged at the top of a cotton sample and a light-transmitting glass plate positioned at the bottom of the cotton sample, wherein a CCD (charge coupled device) camera is arranged at the bottom of the light-transmitting glass plate, the CCD camera and the light-transmitting glass plate are provided with a light supplementing light source, the CCD camera is connected with a data acquisition card, the data acquisition card is connected with a computer, and the computer is also connected with the pneumatic device. According to the detection method, pressure is applied to the cotton sample through the pneumatic device, the cotton sample is shot through the CCD camera under the condition of a light supplementing light source, the shot image is transmitted into the data acquisition card, digital image processing is performed on the obtained cotton sample image through the computer, all image characteristics of the cotton sample are obtained, and color data of cotton are processed through a machine learning K mean value algorithm, so that the detection precision of the color of the cotton is improved.
Description
Technical Field
The invention belongs to the technical field of machine vision, and particularly relates to a cotton color degree detection device based on machine vision, and a detection method for detecting the cotton color degree by using the device.
Background
Cotton is an essential material in human production and life, more people seek fashion along with the increasing improvement of the life quality of people in China in recent years, the quality requirement on clothes is higher and higher, the demand is higher and higher, so that the demand of clothing manufacturers on textiles such as clothes is increased gradually, the demand of China on cotton textile industry is highlighted, the high attention of central government departments is aroused, and a plurality of policy and regulations related to cotton quality detection and control are issued in succession in the field of cotton textile. As the cotton is affected by factors such as land, rain, worm damage, fertilizer and the like in the growing process, even if the color of the cotton in the same producing area is different, when large-area cotton is planted, the workload of selecting the cotton with different color degrees by adopting a visual inspection method is large, and the rapid real-time detection of the color degree detection of the cotton is still a difficult problem in the cotton textile industry worldwide. Although some foreign companies have produced mature cotton color detection systems at present, due to the high price, the cotton color detection systems cannot be widely popularized and used in China.
Machine vision is a modern detection technology which uses a CCD camera to replace the traditional human eye for detection, and the CCD camera is used for carrying out image acquisition on a detected object, converting image information into a digital signal and extracting characteristics from the digital signal, thereby realizing the detection of the state of the detected object. Machine vision techniques are now widely used in many areas and play an increasingly important role therein.
Disclosure of Invention
The invention aims to provide a cotton color degree detection device based on machine vision, which can accurately and efficiently detect the color grade of cotton.
The invention also aims to provide a detection method for detecting the cotton color based on machine vision.
The invention adopts a first technical scheme that the cotton color degree detection device based on machine vision comprises a pneumatic device arranged at the top of a cotton sample and a light-transmitting glass plate positioned at the bottom of the cotton sample, wherein a CCD (charge coupled device) camera is arranged at the bottom of the light-transmitting glass plate, the CCD camera and the light-transmitting glass plate are provided with a light supplementing light source, the light supplementing light source is arranged in a manner of inclining by 45 degrees in the vertical direction, the CCD camera is connected with a data acquisition card, the data acquisition card is connected with a computer, and the computer is connected with the pneumatic device.
The first technical solution adopted by the present invention is further characterized in that,
the pixel of the CCD camera is 500W, and the frame rate of the CCD camera is 14 fps.
The supplementary lighting light source is a D65 light source with the color temperature of 6500K.
The pneumatic device pressure was 50N.
The second technical scheme adopted by the invention is as follows: a cotton color degree detection method based on machine vision adopts the detection device and comprises the following steps:
the method comprises the following steps that 1, a cotton sample is pressed onto a light-transmitting glass plate through a pneumatic device, a CCD camera is turned on to ensure that a camera lens shoots the center of the cotton sample, and the position irradiated by a light supplementing light source is adjusted to enable reflected light of the light supplementing light source on the light-transmitting glass plate not to affect imaging of the CCD camera;
step 2, shooting a cotton sample to be detected by a CCD camera, converting image information of the cotton sample shot by the CCD camera into an electric signal, transmitting the electric signal to a computer through a data acquisition card, processing the electric signal in the computer and identifying the chromatic value of the image;
and 3, performing digital image processing and cotton color grade identification on the cotton sample image to be detected by the computer, and finally displaying the identification result on the computer software interface.
The second technical solution adopted by the present invention is further characterized in that,
the digital image processing process in the step 3 sequentially comprises the following steps: gaussian filtering, median filtering and image cropping.
And 3, identifying the cotton color grade by using a K-mean data-based clustering device.
The invention has the beneficial effects that: according to the cotton color degree detection device based on machine vision, a cotton sample to be detected is placed on the light-transmitting glass plate, the pneumatic device is arranged on the upper portion of the cotton sample, the cotton sample is compressed during detection, and the influence on a cotton color detection result caused by cotton fluffy gaps is reduced. The CCD camera and the light supplementing light source are located on the other side of the glass plate, the light supplementing light source is placed at 45 degrees of the glass cover plate, the influence of the light source on the quality of images collected by the CCD camera is reduced, the images of cotton samples are continuously collected by using a data collection card and are transmitted to a computer, when the color of the cotton samples is detected by computer software, the final result of the color detection of the cotton is inaccurate due to gaps, impurities and the like among cotton, so that all characteristic information of the cotton samples is detected, the errors caused by the impurities and the gaps are reduced, the color values of most of cotton are detected, the final color value of the cotton samples is obtained, the final color value is converted into Rd (reflectivity) and + b (yellowness) values of the international universal detection cotton color, and the color grade of the cotton is finally obtained; the invention can accurately and efficiently detect the color of the cotton to be detected by a visual detection technology; and the device has reasonable design, simple structure and easy realization.
The cotton color detection method based on machine vision can accurately and efficiently detect the cotton color.
Drawings
FIG. 1 is a schematic structural diagram of a cotton color detection device based on machine vision according to the present invention;
FIG. 2 is an original image of a cotton sample obtained by a cotton color detection method based on machine vision according to the present invention;
FIG. 3 is a Gaussian filtered cotton sample picture of a machine vision based cotton color detection method of the present invention;
FIG. 4 is a cotton sample picture with sufficient median filtering for a cotton color detection method based on machine vision according to the present invention;
FIG. 5 is a cut picture of a cotton color detection method based on machine vision.
In the figure, 1, a CCD camera, 2, a light supplementing light source, 3, a data acquisition card, 4, a light-transmitting glass plate, 5, a computer and 6, a pneumatic device.
Detailed Description
The invention is described in detail below with reference to the accompanying drawings and the detailed description
The invention relates to a cotton color degree detection device based on machine vision, which comprises a pneumatic device 6 and a light-transmitting glass plate 4, wherein the pneumatic device 6 is respectively arranged at the top of a cotton sample, the light-transmitting glass plate 4 is arranged at the bottom of the cotton sample, the influence of shadow generated by cotton fluffiness on a detection result is reduced by applying pressure to cotton on the light-transmitting glass plate 4 by adopting the pneumatic device 6, a CCD camera 1 is arranged at the bottom of the light-transmitting glass plate 4, a light supplement light source 2 is arranged between the CCD camera 1 and the light supplement glass plate 4, the light supplement light source is a D65 light source, the color temperature is 6500K, the light supplement light source 2 is vertically arranged at 45 degrees relative to the CCD camera 1, and the purpose of adopting a D65 light source is to simulate sunlight so as to ensure that the. The light supplementing light source 2 supplies power independently, the CCD camera 1 obtains a light-transmitting glass plate 4 irradiated by the 45-degree light supplementing light source 2, the CCD camera 1 is connected with a data acquisition card 3, the data acquisition card 3 is connected with a computer 5, after the CCD camera 1 shoots cotton sample images, the images are stored in the data acquisition card 3 in a digital signal mode, then the images are transmitted to the computer 5, and the performance of the data acquisition card 3 needs to meet the requirement of completely acquiring voltage signals generated by the CCD camera 1.
The computer 5 is also connected with a pneumatic device 6 for controlling the operation of the pneumatic device 6, the pressure of the pneumatic device is 50N, in order to prevent the transparent glass plate 4 from being damaged due to the pressure, the cost of the detection device is increased, and the gap generated by the fluffy cotton is also reduced.
The pixel of the CCD camera 1 is 500W, the frame rate of the CCD camera is 14fps, the resolution of the CCD camera 1 is 2592(H) × 1944(V), the frame rate is 14fps, the resolution adopts 500W pixels, the purpose is to acquire more details of cotton sample images, and more sub-images can be cut off from the images, so that the detection accuracy is improved. The frame rate is 14fps, so that the detection time of the system can be ensured to be stable, and the image quality of cotton can be improved, and the detection precision can be improved. The arrangement positions of the CCD camera 1 and the light supplementing light source 2 are required to ensure that the CCD camera can clearly shoot the color characteristics of the cotton sample, and the specific arrangement positions need to be properly selected according to different areas of the cotton sample.
The invention relates to a cotton color detection device based on machine vision, which has the following specific working principle: the software for processing the cotton sample image by the computer 5 is color detection software written by Visual Studio2015+ OpenCV3.1.0, the software needs to realize color detection on each cotton sample image in small blocks, and color information of different small blocks is processed by a K-means algorithm to obtain a final result by detecting the color degree of the small cotton images in the same sample. The arrangement positions of the CCD camera 1 and the light supplement lamp 2 are required to ensure that the CCD camera can clearly shoot color characteristics of cotton samples, meanwhile, the shot images are subjected to Gaussian filtering, median filtering and image cutting to obtain a plurality of processed small cotton sample images, the small cotton sample images are clustered through a K mean algorithm, and finally, a clustering result is displayed on a software interface to prompt a user of the cotton color grade.
A cotton color degree detection method based on machine vision depends on the cotton color degree detection device based on machine vision, and is implemented according to the following method:
step 1, pressing cotton onto a light-transmitting glass plate 4 by using a pneumatic device 4 to reduce gaps in the cotton; the method comprises the steps that a CCD camera 1 is turned on to ensure that a camera lens shoots the central part of a cotton sample, a light source is placed at the 45-degree position of the lower part of the cotton sample, and the position of the light source is adjusted to enable the light source to have no influence on the quality of an image shot by the CCD camera when the cotton sample is irradiated by the light source;
step 2, the CCD camera 1 shoots a cotton sample to be detected, as shown in FIG. 2, the cotton sample is an original image of the cotton sample obtained by the cotton color detection method based on machine vision, the CCD camera 1 converts image information of the cotton sample into an electric signal and transmits the electric signal to the computer 5 through the data acquisition card 3, and the computer 5 processes the electric signal through software and identifies the chromatic value of the image;
and 3, performing digital image processing and cotton color grade identification on the image of the cotton sample to be detected by the computer 5, and finally displaying the identification result on a software interface of the computer 5.
The digital image processing process in the step 3 sequentially comprises the following steps: gaussian filtering, median filtering and image clipping.
The image cropping is to divide the cotton sample image into small rectangles with equal size, and detect the color of the cotton in the small rectangles respectively.
In the step 3, the color identification of the small cotton sample is realized by clustering based on a K-means algorithm, the color information in all small rectangles is processed into a unique value through a K-means algorithm, and the value is used as the final color grade of the cotton sample; and converting the finally obtained cotton color value into international Rd (reflectivity) and + b (yellowness) values, marking the coordinate of the final value on a cotton color grade coordinate graph, and identifying the cotton color grade.
Fig. 3 is a cotton sample picture after gaussian filtering of a cotton color degree detection method based on machine vision according to the present invention, and it can be known from fig. 3 that: the edges of impurities are blurred, a good environment is provided for the next median filtering, and the detail part in the original image is reserved; fig. 4 is a cotton sample picture with enough median filtering in the cotton color degree detection method based on machine vision, and it can be known from fig. 4 that: noise similar to salt and pepper noise is reduced after the sample picture is subjected to median filtering, and details of the original image are well reserved; FIG. 5 is a cut picture of a cotton color detection method based on machine vision, which aims to obtain the characteristic information of the whole cotton sample and process the color information data of each cut cotton image by a K-means algorithm. And the influence of sensitive values generated by some cut images with impurities can be reduced.
In the mode, the cotton color degree detection device and the cotton color degree detection method based on the machine vision are characterized in that the CCD camera 1, the light supplementing light source 2 and the light-transmitting glass plate 4 are arranged above a cotton sample, the cotton sample is placed on the light-transmitting glass plate 4, the pneumatic device 6 is used for applying pressure to the cotton sample, and the light source angle is adjusted to be 45 degrees and irradiates the light-transmitting glass plate 4. The positions of the light supplement light source 2 and the CCD camera 1 are adjusted, and the light source is prevented from interfering with the image shot by the CCD camera 1. When the cotton sample image is obtained, the cotton color grade is influenced by impurities in the cotton, so that the cotton color is detected by adopting the idea of obtaining the whole color information of the cotton sample and clustering. The computer 5 collects the color information of the small cotton sample, obtains the final cotton color information through a K mean value algorithm, and converts the final result into an international universal cotton detection grade index to obtain the color information of the cotton.
At present, the main detection means for detecting the color and luster degree of cotton in the cotton textile industry are as follows: HVI (high volume instrument), spectrophotometer; the HVI (high volume instrument) uses a photodiode to absorb filtered light from an illuminated sample and two filters to absorb the wavelengths of light reflected from cotton to obtain the Rd (reflectance) and + b (yellowness) of the cotton sample by indicating the percent reflectance Rd and yellowness of the cotton sample brightness corresponding to the b value on the Nickerson-Hunter scale. However, this method may have different values for the two HVI systems when applied, and may have two levels of conflict when the cotton level is at the boundary point in the Nickerson-Hunter plot. The HVIs are only matched correctly to 50% -70% due to boundary problems. The imaging colorimeter xenon flash illuminates the sample, which may increase the difficulty of repeated measurements compared to other steady illuminations (e.g., incandescent lamps). The Isotester used a digital color scanning technique to determine the color of cotton samples. Image-based color data is derived from a large digital color image of a sample. Measuring up to 28 square inches in area. In addition to large area measurements, another advantage of the Isotester is the elimination of the effect of impurities in the cotton on the color results. But the cost price is high, and the method cannot be suitable for most small and medium-sized enterprises. FQT/FibroLab. The technology utilizes FQT/fiber laboratory to be a multifunctional cotton detection system. In fact, it can also act as a simulator for some spinning processes. The sample was fed into a self-cleaning micro carding unit integrated with FQT to produce a transparent web for the removal of impurities and contaminants. Then placed in a 10 x 10 cm square with a fast glass and a color detection camera for color detection. But the detection area is small, and large-area real-time and rapid detection cannot be realized. DigiEye. The technique makes use of the capture of images by a calibrated digital camera; color measurements of the object image were then performed by DigiEye software. The value of the color parameter derived from the image is derived under a specific light source, samples of five small squares are randomly selected from the image, and the cotton color degree of the image is detected. But the sample selection is less, which is not enough to ensure the detection grade of the whole cotton block. The idea of the invention is to process all color characteristic information of cotton through machine vision, and integrate all color characteristic information of cotton by adopting a machine learning algorithm so as to achieve the effect of stable detection result. The invention realizes the effects of rapidness, convenience and stability on the method. This patent realizes simple structure on the device, and it is fast to detect, advantages such as testing result is stable.
Claims (7)
1. The utility model provides a cotton color and luster degree detection device based on machine vision, its characterized in that, is including setting up pneumatic means (6) at cotton sample top and printing opacity glass board (4) that are located cotton sample bottom, the bottom of printing opacity glass board (4) sets up CCD camera (1), CCD camera (1) sets up light filling light source (2) with printing opacity glass board (4), and light filling light source (2) are 45 settings of vertical direction slope, data acquisition card (3) are connected to CCD camera (1), and computer (5) are connected in data acquisition card (3), and pneumatic means (6) are connected in computer (5).
2. The cotton color degree detection device based on machine vision according to claim 1, characterized in that the pixel of the CCD camera (1) is 500W, and the frame number of the CCD camera (1) is 14 fps.
3. The cotton color degree detection device based on machine vision according to claim 1, characterized in that the supplementary lighting source (2) is a D65 light source with a color temperature of 6500K.
4. The cotton color degree detection device based on machine vision according to claim 1, characterized in that the pressure of the pneumatic device (6) is 50N.
5. The method for detecting the cotton color based on the machine vision according to any one of claims 1 to 4, characterized by comprising the following steps:
the method comprises the following steps that 1, a cotton sample is tightly pressed onto a light-transmitting glass plate (4) through a pneumatic device (4), a CCD camera (1) is turned on to ensure that a camera lens shoots the center of the cotton sample, and the position irradiated by a light supplementing light source (2) is adjusted to enable reflected light of the light supplementing light source (2) on the light-transmitting glass plate (4) not to affect imaging of the CCD camera (1);
step 2, shooting a cotton sample to be detected by the CCD camera (1), converting image information of the cotton sample shot by the CCD camera (1) into an electric signal, transmitting the electric signal to the computer (5) through the data acquisition card (3), processing the electric signal in the computer (5) and identifying the chromatic value of the image;
and 3, performing digital image processing and cotton color grade identification on the cotton sample image to be detected by the computer (5), and finally displaying the identification result on a software interface of the computer (5).
6. The cotton color and luster degree detection method based on machine vision as claimed in claim 5, wherein the digital image processing process in the step 3 comprises the following steps in sequence: gaussian filtering, median filtering and image cropping.
7. The cotton color degree detection method based on machine vision according to claim 6, characterized in that the cotton color grade recognition in the step 3 is color grade recognition realized by using a K-means data clustering device.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113546857A (en) * | 2021-07-27 | 2021-10-26 | 西安工程大学 | Cotton color sorting device |
| CN114460017A (en) * | 2021-12-24 | 2022-05-10 | 石河子大学 | Quick detecting system of unginned cotton quality |
| CN114720469A (en) * | 2022-04-13 | 2022-07-08 | 农业农村部南京农业机械化研究所 | Crop impurity detection analyzer based on image and impurity detection analysis method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103344337A (en) * | 2013-06-21 | 2013-10-09 | 杭州新叶光电工程技术有限公司 | Cotton color instrument with LED lighting source |
| CN103698341A (en) * | 2013-12-31 | 2014-04-02 | 中华全国供销合作总社郑州棉麻工程技术设计研究所 | System for detecting cotton rolling quality and method for detecting cotton rolling quality based on image |
| CN203534703U (en) * | 2013-10-14 | 2014-04-09 | 北京中棉机械成套设备有限公司 | Cotton color tester |
| JP2014102207A (en) * | 2012-11-21 | 2014-06-05 | Topcon Corp | Appearance inspection device, and appearance inspection method |
| CN206248214U (en) * | 2016-12-16 | 2017-06-13 | 陕西长岭软件开发有限公司 | A kind of device for detecting the two-sided color of cotton fiber and impurity simultaneously |
| CN109738436A (en) * | 2018-12-28 | 2019-05-10 | 安徽财经大学 | A kind of unginned cotton impurity quantifies rapid detection system and method |
| CN110646354A (en) * | 2019-08-28 | 2020-01-03 | 东华大学 | Color testing device and method for cotton fibers |
-
2020
- 2020-10-19 CN CN202011119764.4A patent/CN112304876A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014102207A (en) * | 2012-11-21 | 2014-06-05 | Topcon Corp | Appearance inspection device, and appearance inspection method |
| CN103344337A (en) * | 2013-06-21 | 2013-10-09 | 杭州新叶光电工程技术有限公司 | Cotton color instrument with LED lighting source |
| CN203534703U (en) * | 2013-10-14 | 2014-04-09 | 北京中棉机械成套设备有限公司 | Cotton color tester |
| CN103698341A (en) * | 2013-12-31 | 2014-04-02 | 中华全国供销合作总社郑州棉麻工程技术设计研究所 | System for detecting cotton rolling quality and method for detecting cotton rolling quality based on image |
| CN206248214U (en) * | 2016-12-16 | 2017-06-13 | 陕西长岭软件开发有限公司 | A kind of device for detecting the two-sided color of cotton fiber and impurity simultaneously |
| CN109738436A (en) * | 2018-12-28 | 2019-05-10 | 安徽财经大学 | A kind of unginned cotton impurity quantifies rapid detection system and method |
| CN110646354A (en) * | 2019-08-28 | 2020-01-03 | 东华大学 | Color testing device and method for cotton fibers |
Non-Patent Citations (1)
| Title |
|---|
| 王玲;姬长英;陈兵林;: "黑背景下收获前棉花图像色特征生成及其品级聚类分析", 棉花学报, no. 02, pages 119 - 123 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113546857A (en) * | 2021-07-27 | 2021-10-26 | 西安工程大学 | Cotton color sorting device |
| CN114460017A (en) * | 2021-12-24 | 2022-05-10 | 石河子大学 | Quick detecting system of unginned cotton quality |
| CN114720469A (en) * | 2022-04-13 | 2022-07-08 | 农业农村部南京农业机械化研究所 | Crop impurity detection analyzer based on image and impurity detection analysis method |
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Application publication date: 20210202 |