CN113596278A - System, method, medium and equipment for digitalized rapid scanning of fabric - Google Patents
System, method, medium and equipment for digitalized rapid scanning of fabric Download PDFInfo
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- CN113596278A CN113596278A CN202110884876.7A CN202110884876A CN113596278A CN 113596278 A CN113596278 A CN 113596278A CN 202110884876 A CN202110884876 A CN 202110884876A CN 113596278 A CN113596278 A CN 113596278A
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- 239000004744 fabric Substances 0.000 title claims abstract description 239
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- 230000000694 effects Effects 0.000 claims abstract description 18
- 238000012937 correction Methods 0.000 claims abstract description 17
- 230000001915 proofreading effect Effects 0.000 claims abstract description 17
- 238000009877 rendering Methods 0.000 claims description 21
- 238000005286 illumination Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000013135 deep learning Methods 0.000 claims description 11
- 239000003086 colorant Substances 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00976—Arrangements for regulating environment, e.g. removing static electricity
- H04N1/00997—Light control, e.g. shielding from ambient light or preventing light leakage
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/04—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa
Abstract
The invention discloses a fabric digitalized rapid scanning system, a method, a medium and equipment, wherein the fabric digitalized rapid scanning system comprises a fabric digitalized scanning module, a fabric digitalized scanning control module, a fabric digitalized scanning data processing module and a fabric digitalized scanning effect correcting and correcting module; the invention can overcome the problems of low scanning efficiency, high scanning cost and inaccurate fabric scanning result of the existing fabric scanning equipment, greatly improves the fabric scanning efficiency, reduces the cost, and simultaneously, the fabric proofreading and effect correction system can ensure the accuracy of the fabric digitalized mapping and realize the large-scale scanning of the fabric.
Description
Technical Field
The invention relates to the technical field of material scanning and digitization, in particular to a system, a method, a medium and equipment for digitizing and rapidly scanning a fabric.
Background
In the traditional industries, such as shoes, bags, clothes and the like, the digitalization degree is not high, the research, development, evaluation, production and manufacturing processes are usually carried out on line, the research and development period is long, the modification difficulty is high, and the method becomes a pain point for industrial development. Digital design and production are important ways for solving industry pain points, but a large amount of digital fabrics are needed, and digital scanning of the fabrics becomes a main way for obtaining the digital fabrics. The existing fabric scanning equipment obtains a fabric digitalized mapping by using a traditional mathematical modeling method, the calculation complexity is high, and the large-scale digitalized scanning is difficult to perform due to too long scanning time; some methods adopt a deep learning method for calculation, but lack standard fabric scanning specifications, and the obtained attribute map has low quality and large deviation from the actual effect of the fabric; in addition, the existing fabric scanning equipment has extremely high production and manufacturing cost and is difficult to be put into an actual production link.
Therefore, the invention provides a rapid fabric digitization scanning system, which uses a deep learning-based method to perform rapid fabric scanning, and simultaneously uses a standard fabric effect correction and correction system to ensure the accuracy of the digitized fabric, overcomes the problems of low scanning efficiency, low scanning quality and high price of the current market fabric digitization equipment, and provides possibility for large-scale popularization of fabric digitization.
Disclosure of Invention
The first purpose of the present invention is to solve the defects in the prior art, and provide a fabric digitization fast scanning system, wherein a fabric digitization scanning control module controls a fabric digitization scanning module to shoot different illumination images of the fabric to be detected, a fabric digitization scanning data processing module generates a fabric digitization mapping, and the fabric digitization scanning data processing module finally outputs an accurate fabric digitization mapping through a fabric digitization scanning effect correction and correction module, so that the fabric scanning efficiency is greatly improved, and the cost is reduced.
The second purpose of the invention is to provide a fabric digitalized fast scanning method.
It is a third object of the invention to provide a non-transitory computer readable medium.
It is a fourth object of the invention to provide a computing device.
The first purpose of the invention is realized by the following technical scheme: a fabric digitizing fast scan system comprising:
the fabric digitalized scanning module is used for acquiring a fabric image to be detected and uploading the fabric image to the fabric digitalized scanning data processing module for data processing so as to generate a fabric digitalized mapping;
the fabric digitalized scanning control module is used for controlling the on and off of a light source of the fabric digitalized scanning module and the shooting of a camera so as to complete the acquisition and uploading of fabric images;
the fabric digitalized scanning data processing module is used for calculating and processing the fabric images uploaded by the fabric digitalized scanning module based on a deep learning method so as to output a digitalized mapping of the fabric to be detected;
and the fabric digitalized scanning effect correcting and correcting module is used for correcting and correcting the digitalized mapping output by the fabric digitalized scanning data processing module so as to ensure the accuracy of an output result.
Further, the integration of the digitalized scanning module of the fabric has a hemispherical darkroom, an LED light source, a camera, a drawer and a dough light source, wherein:
the inner surface of the hemispherical darkroom is provided with a black light absorption material for isolating external illumination;
the LED light sources are uniformly arranged on the surface of the hemispherical darkroom and used for providing multidirectional illumination for the fabric to be detected;
the camera is arranged at the top end of the hemispherical darkroom and used for shooting an image of the fabric to be detected from top to bottom, and is in communication connection with the fabric digitalized scanning data processing module, and the shot image of the fabric to be detected is uploaded to the fabric digitalized scanning data processing module by the camera;
the drawer is arranged at the bottom of the hemispherical darkroom and used for carrying fabric to be tested, and the fabric carrying position of the drawer adopts a semitransparent design, so that a surface light source arranged at the bottom of the drawer is allowed to illuminate from the back of the fabric;
the surface light source is arranged at the bottom of the drawer, the irradiation area of the surface light source is larger than the visual field range of the camera, and the surface light source is in communication connection with the fabric digital scanning control module and can change the color of the surface light source illuminating from the back of the fabric.
Further, the fabric digitalized scanning control module specifically executes the following operations:
s101, firstly controlling to light a surface light source, simultaneously controlling a camera to shoot images, then switching the colors of the multiple surface light sources, and then controlling the camera to shoot images to obtain transmission images of the surface light sources with different corresponding colors and illuminating from the bottom of a drawer;
s102, placing the fabric to be detected in the field of view of the drawer camera, controlling the LED light sources to be sequentially lightened, and simultaneously controlling the camera to shoot images to obtain an image set of the fabric to be detected under different LED light source illuminations;
s103, controlling to close all the LED light sources, lighting a surface light source at the bottom of the drawer and shooting images, then switching the color of the surface light source at the bottom of the drawer, and then controlling the camera to shoot the images to obtain transmission images of the fabric to be detected with different colors;
and S104, uploading all the images obtained in the steps from S101 to S103 to a fabric digitalized scanning data processing module for processing and calculation.
Further, the fabric digitalized scanning data processing module specifically executes the following operations:
s201, performing white balance correction on an image set of the fabric to be detected under different LED light source illumination;
s202, calculating the average brightness of the image set subjected to white balance in the step S201, comparing the average brightness with a preset standard brightness, and performing brightness correction on the image set;
s203, calculating the fabric digitalized mapping, taking the fabric digitalized mapping and the corresponding camera-shot image thereof as training samples, and training a deep learning network; when the fabric to be tested is scanned, the image set after white balance correction and brightness correction in the step S202 is used as the input of the deep learning network, so as to generate a digital map of the fabric to be tested;
and S204, taking the transmission image of the fabric to be detected as a foreground image, taking the transmission image of the area light source with different colors, which is illuminated from the bottom of the drawer, as a background image, and obtaining the transparency map of the fabric to be detected by using a matting algorithm.
Further, the fabric digital scanning effect proofreading and correcting module is integrated with a fabric proofreading image acquisition module, a 3D rendering engine, a fabric attribute map editing module and a fabric four-side continuous editing module, wherein:
the fabric proofreading image acquisition module is used for shooting the fabric placed in a standard lamp box with stable illumination and correcting the shot fabric image under the lamp box environment to obtain a standard fabric proofreading image;
the 3D rendering engine is used for simulating the internal environment of the standard lamp box and the digital mapping of the input fabric and rendering the measurement effect of the digital mapping;
the fabric attribute mapping editing module is used for finely tuning each digital mapping of the fabric, and simultaneously uploading the fine tuning result to a 3D rendering engine in real time for rendering until the 3D rendering result is consistent with the fabric proofreading image;
the fabric four-side continuous editing module is used for cutting and edge processing the digital chartlet of the fabric, so that seamless splicing and seamless 3D rendering result can be realized by the digital chartlet of the fabric.
The second purpose of the invention is realized by the following technical scheme: when the steps in the method are executed, a processor calls the fabric digitalized scanning module, the fabric digitalized scanning control module, the fabric digitalized scanning data processing module and the fabric digitalized scanning effect correcting and correcting module in the fabric digitalized fast scanning system so as to realize the corresponding functions in each module.
The third purpose of the invention is realized by the following technical scheme: a non-transitory computer readable medium having stored thereon instructions which, when executed by a processor, perform the steps of the fabric digitizing fast scan method according to the above.
The fourth purpose of the invention is realized by the following technical scheme: a computing device comprises a processor and a memory for storing programs executable by the processor, and when the processor executes the programs stored in the memory, the fabric digitalization fast scanning method is realized.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention can overcome the problems of low scanning efficiency, high scanning cost and inaccurate fabric scanning result of the existing fabric scanning equipment, greatly improves the fabric scanning efficiency, reduces the cost, and simultaneously, the fabric proofreading and effect correction system can ensure the accuracy of the fabric digitalized mapping and realize the large-scale scanning of the fabric.
Drawings
Fig. 1 is a schematic structural diagram of a fabric digitizing scanning module.
FIG. 2 is a flow chart of an implementation of the fabric digitizer scan control module.
Fig. 3 is a flow chart of an implementation of the fabric digital scan data processing module.
Detailed Description
The present invention will be further described with reference to the following specific examples.
Example 1
Referring to fig. 1 to 3, the fabric digitizing fast scanning system provided for this embodiment includes:
the fabric digitalized scanning module is used for acquiring a fabric image to be detected and uploading the fabric image to the fabric digitalized scanning data processing module for data processing so as to generate a fabric digitalized mapping;
the fabric digitalized scanning control module is used for controlling the on and off of a light source of the fabric digitalized scanning module and the shooting of a camera so as to complete the acquisition and uploading of fabric images;
the fabric digitalized scanning data processing module is used for calculating and processing the fabric images uploaded by the fabric digitalized scanning module based on a deep learning method so as to output a digitalized mapping of the fabric to be detected;
and the fabric digitalized scanning effect correcting and correcting module is used for correcting and correcting the digitalized mapping output by the fabric digitalized scanning data processing module so as to ensure the accuracy of an output result.
Wherein, the integration of the digital scanning module of surface material has hemisphere darkroom 1, LED light source 2, camera 3, drawer 4 and surface light source 5, wherein:
the inner surface of the hemispherical darkroom 1 is provided with a black light absorption material for isolating external illumination, the radius of the hemispherical darkroom 1 is 225mm, the hemispherical top of the hemispherical darkroom is provided with a mounting position for mounting a camera, and the side surface of the hemispherical darkroom is uniformly provided with 24 hollowed-out small holes for mounting an LED light source;
the LED light sources 2 are 24 white LED light sources which are arranged at the hollow small holes of the hemispherical darkroom 1 and have standard 6500K color temperature and are used for providing multidirectional illumination for the fabric to be detected;
the camera 3 is a high-resolution industrial camera, is arranged at an installation position of the hemispherical darkroom 1 and is used for shooting an image of the fabric to be detected from top to bottom, the working distance of the camera is 225mm, meanwhile, the camera 3 is in communication connection with the fabric digitalized scanning data processing module, and the camera 3 uploads the shot image of the fabric to be detected to the fabric digitalized scanning data processing module;
the drawer 4 is arranged at the bottom of the hemispherical darkroom 1 and used for carrying fabric to be tested, the fabric to be tested can be placed when the drawer 4 is pulled open, the fabric to be tested can be fed into the visual field range of the camera 3 when the drawer 4 is closed, and the fabric carrying position of the drawer adopts a semitransparent design, so that a surface light source arranged at the bottom of the drawer is allowed to illuminate from the back of the fabric;
the area light source 5 is arranged at the bottom of the drawer and consists of a square LED array, a diffuse reflection plate is mounted on the surface of the area light source and used for guaranteeing the uniformity of a light source, meanwhile, the irradiation area of the area light source is larger than the visual field range of a camera, the area light source is in communication connection with the fabric digital scanning control module and can change the color of the area light source illuminating from the back of the fabric, and the area light source can emit red light and blue light.
The fabric digitalized scanning control module specifically executes the following operations:
s101, firstly controlling the lighting surface light sources to emit blue light, simultaneously controlling the camera to shoot images, then switching the surface light sources to emit red light, and then controlling the camera to shoot images to respectively obtain transmission images of the two color surface light sources illuminating from the bottom of the drawer;
s102, placing the fabric to be detected in the field of view of the drawer camera, controlling 24 LED light sources to be sequentially lightened, and simultaneously controlling the camera to shoot images to obtain an image set of the fabric to be detected under the illumination of 24 different LED light sources;
s103, controlling to close all the LED light sources, lighting a surface light source at the bottom of the drawer, controlling the surface light source to emit blue light, then shooting an image, switching the surface light source at the bottom of the drawer to emit red light, and then shooting the image to respectively obtain the transmission images of the fabrics to be detected in the two colors;
and S104, uploading all the images obtained in the steps from S101 to S103 to a fabric digitalized scanning data processing module for processing and calculation.
The fabric digitalized scanning data processing module specifically executes the following operations:
s201, performing white balance correction on an image set of the fabric to be detected under different LED light source illumination to reduce the influence of camera chromatic aberration;
s202, calculating the average brightness of the image set subjected to white balance in the step S201, comparing the average brightness with the standard brightness, and correcting the brightness of the image set, so that the image brightness change caused by the inconsistent LED light source intensity is reduced; the standard brightness is preset before the digital scanning of the fabric, and all images are normalized to the standard brightness, so that the phenomenon of inconsistent image brightness caused by a camera, a light source factor and the like is avoided, and the scanning stability is ensured;
s203, calculating the fabric digitalized mapping, taking the fabric digitalized mapping and the corresponding camera-shot image thereof as training samples, and training a deep learning network; when the fabric to be tested is scanned, the image set after white balance correction and brightness correction in the step S202 is used as the input of the deep learning network, so as to generate a digital map of the fabric to be tested;
and S204, taking the transmission image of the fabric to be detected as a foreground image, taking the transmission image of the area light source with different colors, which is illuminated from the bottom of the drawer, as a background image, and obtaining the transparency map of the fabric to be detected by using a matting algorithm.
The fabric digital scanning effect proofreading and correcting module is integrated with a fabric proofreading image acquisition module, a 3D rendering engine, a fabric attribute mapping editing module and a fabric four-side continuous editing module, wherein:
the fabric proofreading image acquisition module is used for shooting the fabric placed in a standard lamp box with stable illumination and correcting the shot fabric image under the lamp box environment to obtain a standard fabric proofreading image;
the 3D rendering engine is used for simulating the internal environment of the standard lamp box and the digital mapping of the input fabric and rendering the measurement effect of the digital mapping;
the fabric attribute mapping editing module is used for finely tuning each digital mapping of the fabric, and simultaneously uploading the fine tuning result to a 3D rendering engine in real time for rendering until the 3D rendering result is consistent with the fabric proofreading image;
the fabric four-side continuous editing module is used for cutting and edge processing the digital chartlet of the fabric, so that seamless splicing and seamless 3D rendering result can be realized by the digital chartlet of the fabric.
Example 2
When the steps in the method are executed, a processor calls the fabric digitalized scanning module, the fabric digitalized scanning control module, the fabric digitalized scanning data processing module and the fabric digitalized scanning effect correcting and correcting module in the fabric digitalized fast scanning system in the embodiment 1 to realize the corresponding functions in each module.
Example 3
The present embodiment discloses a non-transitory computer readable medium storing instructions which, when executed by a processor, perform the steps of the fabric digitizing fast scan method according to embodiment 2.
The non-transitory computer readable medium in this embodiment may be a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), a usb disk, a removable hard disk, or other media.
Example 4
The embodiment discloses a computing device, which comprises a processor and a memory for storing a program executable by the processor, wherein when the processor executes the program stored in the memory, the method for digitizing and rapidly scanning the fabric according to the embodiment 2 is implemented.
The computing device in this embodiment may be a desktop computer, a notebook computer, a smart phone, a PDA handheld terminal, a tablet computer, a Programmable Logic Controller (PLC), or other terminal devices with a processor function.
The above-mentioned embodiments are merely preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, so that the changes in the shape and principle of the present invention should be covered within the protection scope of the present invention.
Claims (8)
1. A fabric digitizing fast scan system, comprising:
the fabric digitalized scanning module is used for acquiring a fabric image to be detected and uploading the fabric image to the fabric digitalized scanning data processing module for data processing so as to generate a fabric digitalized mapping;
the fabric digitalized scanning control module is used for controlling the on and off of a light source of the fabric digitalized scanning module and the shooting of a camera so as to complete the acquisition and uploading of fabric images;
the fabric digitalized scanning data processing module is used for calculating and processing the fabric images uploaded by the fabric digitalized scanning module based on a deep learning method so as to output a digitalized mapping of the fabric to be detected;
and the fabric digitalized scanning effect correcting and correcting module is used for correcting and correcting the digitalized mapping output by the fabric digitalized scanning data processing module so as to ensure the accuracy of an output result.
2. The fabric digitizing fast scanning system according to claim 1, wherein the fabric digitizing scanning module is integrated with a hemispherical darkroom, an LED light source, a camera, a drawer and a face light source, wherein:
the inner surface of the hemispherical darkroom is provided with a black light absorption material for isolating external illumination;
the LED light sources are uniformly arranged on the surface of the hemispherical darkroom and used for providing multidirectional illumination for the fabric to be detected;
the camera is arranged at the top end of the hemispherical darkroom and used for shooting an image of the fabric to be detected from top to bottom, and is in communication connection with the fabric digitalized scanning data processing module, and the shot image of the fabric to be detected is uploaded to the fabric digitalized scanning data processing module by the camera;
the drawer is arranged at the bottom of the hemispherical darkroom and used for carrying fabric to be tested, and the fabric carrying position of the drawer adopts a semitransparent design, so that a surface light source arranged at the bottom of the drawer is allowed to illuminate from the back of the fabric;
the surface light source is arranged at the bottom of the drawer, the irradiation area of the surface light source is larger than the visual field range of the camera, and the surface light source is in communication connection with the fabric digital scanning control module and can change the color of the surface light source illuminating from the back of the fabric.
3. The fabric digitizing fast scanning system according to claim 1, wherein the fabric digitizing scanning control module specifically performs the following operations:
s101, firstly controlling to light a surface light source, simultaneously controlling a camera to shoot images, then switching the colors of the multiple surface light sources, and then controlling the camera to shoot images to obtain transmission images of the surface light sources with different corresponding colors and illuminating from the bottom of a drawer;
s102, placing the fabric to be detected in the field of view of the drawer camera, controlling the LED light sources to be sequentially lightened, and simultaneously controlling the camera to shoot images to obtain an image set of the fabric to be detected under different LED light source illuminations;
s103, controlling to close all the LED light sources, lighting a surface light source at the bottom of the drawer and shooting images, then switching the color of the surface light source at the bottom of the drawer, and then controlling the camera to shoot the images to obtain transmission images of the fabric to be detected with different colors;
and S104, uploading all the images obtained in the steps from S101 to S103 to a fabric digitalized scanning data processing module for processing and calculation.
4. The fabric digitizing fast scanning system according to claim 1, wherein the fabric digitizing scanning data processing module specifically performs the following operations:
s201, performing white balance correction on an image set of the fabric to be detected under different LED light source illumination;
s202, calculating the average brightness of the image set subjected to white balance in the step S201, comparing the average brightness with a preset standard brightness, and performing brightness correction on the image set;
s203, calculating the fabric digitalized mapping, taking the fabric digitalized mapping and the corresponding camera-shot image thereof as training samples, and training a deep learning network; when the fabric to be tested is scanned, the image set after white balance correction and brightness correction in the step S202 is used as the input of the deep learning network, so as to generate a digital map of the fabric to be tested;
and S204, taking the transmission image of the fabric to be detected as a foreground image, taking the transmission image of the area light source with different colors, which is illuminated from the bottom of the drawer, as a background image, and obtaining the transparency map of the fabric to be detected by using a matting algorithm.
5. The fabric digitization fast scanning system according to claim 1, wherein the fabric digitization scanning effect proofreading and correcting module is integrated with a fabric proofreading image acquisition module, a 3D rendering engine, a fabric attribute map editing module, and a fabric four-side continuous editing module, wherein:
the fabric proofreading image acquisition module is used for shooting the fabric placed in a standard lamp box with stable illumination and correcting the shot fabric image under the lamp box environment to obtain a standard fabric proofreading image;
the 3D rendering engine is used for simulating the internal environment of the standard lamp box and the digital mapping of the input fabric and rendering the measurement effect of the digital mapping;
the fabric attribute mapping editing module is used for finely tuning each digital mapping of the fabric, and simultaneously uploading the fine tuning result to a 3D rendering engine in real time for rendering until the 3D rendering result is consistent with the fabric proofreading image;
the fabric four-side continuous editing module is used for cutting and edge processing the digital chartlet of the fabric, so that seamless splicing and seamless 3D rendering result can be realized by the digital chartlet of the fabric.
6. A fabric digitization fast scanning method is characterized in that when steps in the method are executed, a processor calls the fabric digitization scanning module, the fabric digitization scanning control module, the fabric digitization scanning data processing module and the fabric digitization scanning effect correcting and correcting module in the fabric digitization fast scanning system according to claims 1-5, so that corresponding functions in the modules are achieved.
7. A non-transitory computer readable medium storing instructions, wherein the instructions, when executed by a processor, perform the steps of the fabric digitizing fast scan method according to claim 6.
8. A computing device comprising a processor and a memory for storing a program executable by the processor, wherein the processor, when executing the program stored in the memory, implements the method for digitally fast scanning a fabric as recited in claim 6.
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| CN115024559A (en) * | 2022-05-30 | 2022-09-09 | 广东时谛智能科技有限公司 | Customized shoe body model design method and device based on user customized information |
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