CN103176420A - Physical yarn woven-pattern digital modeling device and method - Google Patents
Physical yarn woven-pattern digital modeling device and method Download PDFInfo
- Publication number
- CN103176420A CN103176420A CN2013100982763A CN201310098276A CN103176420A CN 103176420 A CN103176420 A CN 103176420A CN 2013100982763 A CN2013100982763 A CN 2013100982763A CN 201310098276 A CN201310098276 A CN 201310098276A CN 103176420 A CN103176420 A CN 103176420A
- Authority
- CN
- China
- Prior art keywords
- yarn
- modeling
- image
- matrix
- weave pattern
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Treatment Of Fiber Materials (AREA)
Abstract
The invention relates to a physical yarn woven-pattern digital modeling device and a physical yarn woven-pattern digital modeling method. The device comprises a box body, a yarn clamping device, a coiling driving control device, a light source and an imaging system. By using the digital modeling method, various woven structure charts are represented by using basic matrixes, a woven structure database is pre-established, and in the process of modeling, through carrying out row and line expansion on a selected basic matrix, the size of a required woven matrix is obtained; an elliptic cylindrical yarn model is constructed, and the yarn color information is managed in index table form; based on the corresponding relation between the physical sizes of yarns and the image sizes thereof, through taking the selected woven matrix, the warp and weft arrangement sequence of yarns and the weaving spacing as constraints, a physical yarn model image is divided into modeling interwoven points, and the corresponding relation between the modeling interwoven points and the elements of the woven matrix is determined; and according to the information, a yarn woven-pattern three-dimensional model diagram is constructed. According to the invention, the reconstruction of a physical yarn woven-pattern images can be realized quickly.
Description
Technical field
The present invention relates to the digital intelligent textile technology field, particularly relate to a kind of digital modeling apparatus and method of yarn weave pattern in kind.
Background technology
Yarn weave pattern direct relation outward appearance visual sense and the performance of fabric and clothes, plays a part very important in weaving is produced.The appearance that the feature of yarn such as fineness, color, filoplume degree and bar evenness and the difference in the braiding process are arranged, combination directly affects fabric.Adopt the method for yarn modeling in kind can reflect truly the weave effect of yarn.According to specifying fabric pilotaxitic texture, the information such as yarn arrays order and warp, weft threads spacing, the image information that directly adopts yarn in kind to obtain is carried out modeling, the energy real simulation goes out the outward appearance weave pattern of fabric, thoroughly evaluating yarn qualities, guidance system fabrication technique, prediction appearance of fabrics effect etc. there is extremely important meaning, it can help the designer to design, revise the test weaving number of times of textile design, minimizing fabric product simultaneously, shortens the production cycle, reduces production costs.
The weave pattern modeling just becomes the key problem of a Fabric Design from the textile industry large-scale production; Detect and the automatic fabric weaving style modeling round yarn appearance quality, home and abroad weaving colleague proposes many methods, as setting up the reticulate texture model for fabric, the effects on surface details is carried out flexible Geometric Modeling and is generated on this basis the analog image etc. of appearance of fabrics.Appearance of fabrics analogy method based on vision also proposes in addition, the method is knitted from the line of industrial standard and is obtained fabric tissue information pattern file, and set up the crossing model of detailed light and fabric, and simulate the complex textile pattern, generate the nearly sight and the analog image of seeing far away of fabric.The another kind of method of cloth modeling emulation is to set up the three-dimensional model of fabric, as representing yarn with various cylinders, set up basic optical illumination model, utilize the Illumination template that drafting is accelerated, the bonded fabric organizational information consists of the three-dimensional artificial result of appearance of fabrics.The defective of above method is all to adopt the general image of yarn or standard picture is processed and modeling, can't be for the yarn in kind of appointment, extract its barment tag, as actual yarn color and in features such as the thickness deformation of diverse location and fine hair, reach and specify putting in order of braiding structure and yarn, the weave pattern model of setting up rapidly.
Along with the development of computer technology and image analysis technology, directly utilize machine vision and and digital image processing techniques, can directly obtain the appearance images information of yarn in kind.The present invention proposes based on machine vision and computer image processing technology, designed track planning of dual robots visual pattern information acquisition device, realization is obtained the yarn appearance plane picture to same yarn from two different angles, extracting the yam surface characteristic parameter merges, obtain the characteristic parameter that represents the yarn digitization modeling, comprise the appearance informations such as yarn cross section ovality and irregularity, color, build yarn fabric intertwined point three-dimensional model, realize yarn weave pattern in kind modeling.Method proposed by the invention can reflect the actual visual effect of yarn to specifying braiding structure to weave, more exactly for providing scientific basis to yarn property evaluation and quality analysis.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of digital modeling apparatus and method of yarn weave pattern in kind, can reflect more exactly the actual visual effect of yarn to specifying braiding structure to weave, for providing scientific basis to yarn property evaluation and quality analysis.
The technical solution adopted for the present invention to solve the technical problems is: the digital modeling device that a kind of yarn weave pattern in kind is provided, comprise casing, be provided with yarn imaging chamber in described casing, be installed with yarn in yarn imaging chamber, yarn one end is connected with the yarn driver, and the other end is connected with coiling apparatus; Described yarn imaging chamber is provided with one group of back light that is connected with light source controller; Described yarn imaging chamber's upper side and trailing flank are equipped with the CCD imaging system, and two CCD imaging systems are mutually vertical, are used for gathering described yarn two sides image; Described yarn driver is connected with computing machine respectively with light source controller; The mode of mathematical modeling of utilizing described computing machine constructs yarn in kind to specifying braiding structure weave pattern 3-D view.
Described computing machine is used for building in advance the yarn architecture types of database, and stores with the fundamental matrix that Was Used forms, and expands by the fundamental matrix of selecting is carried out row, column during modeling, obtains the braiding matrix of the required scale of modeling; Computing machine is that oval sequence image fits to the modeling yarn curve shape by xsect, and obtain distance between two edges of yarn plane picture with orthogonal two CCD imaging systems, major axis and minor axis as the yarn cross section ellipse, by the corresponding relation of yarn in kind with the picture size that collects, the yarn that match is formed is divided into elliptical cylinder-shape braiding intertwined point one by one; Described computing machine extracts the color of modeling yarn from the figure warp thread picture, build a color index table, and the index value of its table is the numbering of yarn, and three territories of its correspondence represent respectively R, G, the B value of this yarn color; Computing machine joins the image of weave pattern with the eider down information of intertwined point, finally constructs yarn in kind to specifying braiding structure weave pattern 3-D view.
Described casing and yarn imaging chamber are enclosed construction.
Described yarn driver be used for controlling yarn in kind with certain speed by yarn imaging chamber, so that the CCD imaging system can its image of segmentation continuous acquisition.
Described CCD imaging system is furnished with the standard calibrating template that resolution is 10um.
Described back light is white light LEDs.
The technical solution adopted for the present invention to solve the technical problems is: a kind of method of the yarn weave pattern in kind based on digital modeling is provided, comprises the following steps:
(1) set between the length and width and warp thread of automatic fabric weaving style, the braiding distance between weft threads, and all modeling yarns are numbered;
(2) adopt model building device to carry calibrating template, two CCD imaging systems are demarcated, the physical size of the corresponding detected object of computed image pixel institute, the shooting speed of setting yarn movement speed and CCD;
(3) will be arranged on respectively on above-mentioned device for all yarns of modeling and detect, when yarn passes through image space by certain speed, two CCD imaging systems gather yarn two sides image continuously from two vertical direction, and are stored in computing machine;
(4) to the continuous two sides image of the same numbering yarn that obtains, splice respectively processing, then carry out filtering and process, eliminate the light reflecting background of introducing in imaging process;
(5) to same numbering yarn, get the average of color as the color of this yarn modeling; To all yarns, be numbered index value with it, color R, G, B are contents in table, set up a yarn color concordance list;
(6) adopt the sub-pixel positioning method, detect respectively two edges of same numbering yarn two sides image, and take pixel as step pitch, along the length of yarn direction, calculate the spacing of same position two edges, fit to oval yarn at major axis and the minor axis of each position xsect as yarn, calculate simultaneously yarn feather number;
(7) all yarns are carried out the three-dimensional match of elliptical cylinder-shape, and according to the setting parameter of automatic fabric weaving style and the corresponding relation of figure warp thread picture and yarn physical size, the oval yarn of match is divided into continuous weaving intertwined point one by one;
(8) select weaving textile basic structure matrix, and according to the size of need established model, this matrix is carried out the row, column expansion obtain weaving matrix, take warp, the latitude of braiding matrix and yarn put in order and spacing as constraint, determine the corresponding relation between each yarns interwoven point and braiding matrix element, and all intertwined point 3-D views are arranged according to the braiding structure matrix;
(9) to the modeling yarn of difference numbering, extract its color from the color index table, be used for warp corresponding to model, latitude intertwined point and carry out additive process and photo-irradiation treatment; Simultaneously, with the eider down information of intertwined point, join the image of weave pattern, finally construct yarn in kind to specifying braiding structure weave pattern 3-D view.
Beneficial effect
Owing to having adopted above-mentioned technical scheme, the present invention compared with prior art has following advantage and good effect:
The present invention is based on Vision Builder for Automated Inspection and image processing techniques, centered by computing machine, yarn dynamic image acquisition, processing and weave pattern modeling are concentrated on one; Adopt the body structure of sealing as the image acquisition platform, shield extraneous light disturbance, adopt the back light of one group of LED white to consist of illuminator in the inside of casing simultaneously, to eliminate the illumination shade; By installing two groups of image forming devices that model is consistent with parameter additional, to obtain two different side images of yarn same position; As human-computer interaction interface, realize detection and the modeling of yarn weave pattern and the result demonstration of yarn Modelling feature parameter by computing machine.
The modeling method that adopts in the present invention is by controlling driving arrangement, make the modeling yarn at the uniform velocity pass through image space, two CCD dynamic acquisition yarn segmented image, dynamic acquisition figure warp thread picture in kind, and pass through image processing techniques, by the braiding structure of appointment and the modeling parameters of setting, realize fast yarn weave pattern digitization modeling in kind, have the characteristics such as easy to operate, real-time, that modeling is true to nature.
Description of drawings
Fig. 1 is device schematic diagram of the present invention;
Fig. 2 is yarn architecture digitized representations intention in the present invention;
Fig. 3 is by basic braiding structure digitizing exploded view in the present invention;
Fig. 4 is that in embodiment, yarn model consists of schematic diagram;
Fig. 5 is yarn modeling process flow diagram in embodiment.
Embodiment
Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiment only to be used for explanation the present invention and be not used in and limit the scope of the invention.Should be understood that in addition those skilled in the art can make various changes or modifications the present invention after the content of having read the present invention's instruction, these equivalent form of values fall within the application's appended claims limited range equally.
Embodiments of the present invention relate to a kind of digital modeling device of yarn weave pattern in kind, as shown in Figure 1, comprise casing 1, be provided with yarn imaging chamber 7 in described casing 1, be installed with yarn in yarn imaging chamber 7, yarn one end is connected with the yarn driver, and the other end is connected with coiling apparatus 8; Described yarn imaging chamber 7 is provided with one group of back light 5 that is connected with light source controller 6; It is mutually vertical that described yarn imaging chamber's 7 upper sides and trailing flank are equipped with 2, two CCD imaging systems of CCD imaging system 2, is used for gathering described yarn two sides image; Described yarn driver 4 is connected with computing machine 10 respectively with light source controller 6; The mode of mathematical modeling of utilizing described computing machine 10 constructs yarn in kind to specifying braiding structure weave pattern 3-D view, and described computing machine 10 is connected with display screen 9, and display screen 9 is used for the weave pattern image of yarn.
Described casing 1 and yarn imaging chamber 7 are enclosed construction, adopt the body structure of sealing as the image acquisition platform, shield extraneous light disturbance.Described CCD imaging system 2 is furnished with the standard calibrating template that resolution is 10um, so that imaging system is demarcated, accurately determines the proportionate relationship of yarn physical size and its image.Described back light 5 is white light LEDs, so can eliminate the illumination shade.Described yarn driver 4 be used for controlling yarn in kind with certain speed by yarn imaging chamber 7, so that the CCD imaging system can its image of segmentation continuous acquisition.
Whole device is take desk-top computer as core, adopt Windows operating system, mainly comprise peripheral interface circuit, liquid crystal display, LED white backlight light source, two models and the identical digital CCD of performance, optical lens and Yarn clamper and motion driving control device etc.In order to reduce in testing process, the yarn image information is accurately obtained in the impact of veiling glare on imaging system, adopt the closed enclosure body structure, shield extraneous light disturbance, the one group of LED white backlight light source formation illuminator of inside employing in yarn sensing chamber is to eliminate the illumination shade; Simultaneously by installing two orthogonal digital CCDs and corresponding optical imaging system additional, to obtain the figure warp thread picture of two mutually vertical visual directions.
When computing machine adopts the automatic fabric weaving style digitization modeling, with the digitizing of yarn fabric braiding structure, each intertwined point on the braiding structure grid represents warp, latitude woven areas, and use respectively " 1 " and " 0 " expression, wherein " 1 " representative is through the intertwined point (warp is upper, parallel under), " 0 " represents that (parallel is upper for the latitude intertwined point, warp under), thereby realize representing the weaving textile structure with (1,0) character matrix.In modeling, with various braiding structure building databases, and adopt (1 of maximum irrelevant group, 0) fundamental matrix represents that weaving textile basic structure stores, during modeling, by selecting fundamental matrix and it being carried out row, column expand, obtain the size of the required matrix of modeling.The modeling yarn curve shape is that oval sequence image match forms by xsect, and obtains the distance between two edges of yarn plane picture with mutually vertical CCD, as major axis and the minor axis of yarn cross section ellipse.By the corresponding relation of yarn in kind and its picture size, the yarn that match is formed is divided into elliptical cylinder-shape braiding intertwined point one by one.Extract the color of modeling yarn from the figure warp thread picture, build a color index table, the index value of its table is the numbering of yarn, and three territories of its correspondence represent respectively R, G, the B value of this yarn color.
In implementation process of the present invention, can adopt following equipment:
(1) computer system: Lenovo Qitian M7300:CPU adopts Intel Duo i3550, double-core/four threads, frequency 3.2GHz L2 cache 2 * 256KB, three grades of buffer memory 4MB; Board chip set IntelH57, the mainboard memory size is 2GB; Type of memory is DDR31333; Hard-disk capacity 500GB, rotating speed 7200 turns, SATAII; The video card type is solely aobvious AMDRadeonHD4350, video memory capacity 512MB, and display sizes is 17 inches.
(2) digital CCD: the CCD model is HV1303UM, major parameter: resolution is the CMOSCCD of 1280*1024; Optical dimensions is 1/1.8 〞; The highest 1,300,000 pixels; The highest horizontal resolution is 1280; The digital-to-analog conversion precision is 10bit; The high s/n ratio of 45dB (AGCOFF); Can control (AGC) by open/close automatic gain, the digital gain multiple is: * 2, * 1, * 0.5, * 0.25; For the light source of 550nm, its sensitivity is: 2.1V/Lux-s; Can be from the black-to-white level weighing apparatus correcting mode of motion tracking (ATW)/manually setting; Can accept two kinds of power supply supplies of 24VAC and 12VDC.
(3) camera lens: model is ComputarH0514-MP, 1/2 " specification; C interface; 5(mm) focal length; Aperture (F): 1.4-16C; Visual angle (level): 65.5 °; Recently object image distance is from (m): 0.1; Before effective aperture
27.8, after
14.8; The pre-filter screw thread
43.0 * 0.75; Physical dimension (diameter * dark mm): 44.5 * 45.5.
(4) light source model: bar shaped white light source YBL-86-29, electric parameter 24v/8.6w, light intensity is controlled, physical dimension 86mm * 29mm * 18mm, the LED row is 5, the band diffusion disk.When environment temperature is 25 ° of C, surpass 30000 hours (damping capacity as 50% time) take the 50% continuous reliably working of white light source brightness, and can extend the serviceable life of light source when using frequent flashing control.
(5) the controller model is UIM241040171; Power supply voltage 12V～40VDC; Output motor electric current: the every phase of peak value 4A/8A (actual current is set by user instruction, and is adjustable in real time); Type of drive: perseverance flows PWM mutually; Control excitation mode: synchronizing, half step, 4 segmentations, 16 segmentations; Physical dimension: 42.3mm * 42.3mm * 13.5mm; Weight: 0.1kg.
(6) stepper motor model FL57STH76-2804-01; Fuselage is long: 7.6cm+0.2cm; Motor axial length: 2.0cm; Fuselage size: 5.6*5.6cm; Rated voltage 2.3v; Rated current 2.8A; Resistance 0.83 Europe.
The invention still further relates to a kind of yarn weave pattern fast digital modeling method, it is characterized in that modeling mainly is comprised of following ten steps:
Step 1: set between the length and width and warp thread of automatic fabric weaving style, the braiding distance between weft threads, and all modeling yarns are numbered.
Step 2: adopt to carry calibrating template two Digital CCD Imaging systems are carried out system compensation and demarcation, calculate the imaging system image pixel the physical size of corresponding detected object; Set the shooting speed of yarn movement speed and CCD.By geometry correction, the physical size image pixel corresponding with it that can make whole surveyed area diverse location detect target keeps the proportionate relationship of strict conformance.
Step 3: will install on model building device respectively for all yarns of modeling and detect.To each one thread, by certain speed during by image space, two high precision CCD imaging systems are from two vertical direction when it, gather continuously yarn two sides image, and are stored in computing machine products for further and process.
Step 4: the two sides image to the same numbering yarn that obtains in step 3, splice respectively processing, consist of the complete yarn plane picture that the different visual directions of same yarn two width obtain.Process by filtering, eliminate the light reflecting background of introducing in imaging process.And by image processing techniques, two plane pictures are fitted to the yarn of oval column.
Consider that imaging circumstances and internal circuit produce the reason of noise, often there is the noise of stochastic distribution in the figure warp thread picture of picked-up, and namely Gaussian noise, in order to detect exactly the image lateral edge of yarn, need to carry out denoising to the image that gathers.The present invention adopts the method for filtering, removes picture noise.Because frequency domain filtering is to remove noise by the high frequency composition that filters image, it also can lose image when removing noise textural characteristics information makes image blur, is unfavorable for the extraction of textural characteristics.In addition, frequency domain transform operation amount is larger, is difficult to realize real-time.The present invention adopts improved average and median filtering algorithm to carry out pre-service to image in implementation process, removes the noise of figure warp thread picture.
The linear filtering shortcoming be to fall the low noise while also fuzzy the edge of whole image, particularly image and the grain details of image, therefore directly use mean filter to be unfavorable for the reservation of high frequency texture signal.The mean filter operation is successively the pixel value of operation neighborhood of pixel points to be got average and made image blurring, keep the value of original pixel point if having ready conditions, namely only have when near the value of pixel, the territory average is greater than a certain threshold value, just get neighboring mean value and be the value of this point, otherwise the value of this point remains unchanged.This disposal route can make the figure warp thread picture not fuzzy, can remove noise again simultaneously.
Same, because the operation of median filtering algorithm is with certain sequence of operation, choose in its filter window the value through intermediate pixel after sequence, and do not have positive connection with the value of original pixel point.If in image, some characteristic dimension is less, after sequence there be not in the middle of pixel comes this object, and after filtering, this object will be corroded and even disappears so.So adopt and first to set a threshold value, the difference of only having the value of this point and neighborhood intermediate value is during greater than predefined threshold value, the intermediate value of just getting neighborhood, otherwise just keep the value of this point.Process like this, if certain pixel is noise, the intermediate value of it and neighborhood will differ larger, just can remove it.If image information object, also has the point of object itself in neighborhood, so the pixel value of the intermediate value of neighborhood and this point just can not differ too large, as long as suitable threshold value is set, just can keep the value of this point, thereby keep the particularly feather information of yarn of more image detail feature.
Step 5: to same numbering figure warp thread picture, extract the color value (R, G, B) of two sides yarn plane picture, and get its average as the color of this yarn modeling; To participating in all yarns of modeling, be numbered index value with it, color R, G, B are contents in table, set up a yarn color concordance list and store.
Step 6: the yarn two sides plane picture that obtains according to step 4, adopt the sub-pixel positioning method, detect respectively two edges of same numbering yarn two plane pictures.And take pixel as the step pitch method along the length of yarn direction, calculate the spacing of same position two edges, fit to elliptic cylindrical at major axis and the minor axis of each position xsect as yarn, realize the oval column match of yarn, as shown in Figure 4.Calculate simultaneously yarn feather number.
Step 7: yarn is carried out oval three-dimensional cylindrical body match, and according to the setting parameter of automatic fabric weaving style and the corresponding relation of figure warp thread picture and yarn physical size, the oval yarn of match is divided into continuous weaving intertwined point one by one.
Step 8: select weaving textile basic structure matrix, and according to modeling size, fundamental matrix is carried out row, column expand, obtain modeling braiding structure matrix size.Take warp, the latitude of braiding matrix and yarn put in order and spacing as constraint, determine each yarns interwoven point and weave corresponding relation between matrix element, and all intertwined point 3-D views are arranged according to the braiding structure matrix.
The intertwined point that can regard as by size is different with color one by one due to the weave pattern image of yarn fabric forms by the braiding structure arrangement.The key that realizes yarn weave pattern digitization modeling in kind is to determine the shape of each intertwined point, color and arrangement mode and feather feature.The shape of intertwined point adopts elliptic cylindrical to represent, color is determined by the color of position yarn, and arrangement mode can be determined by the braiding structure of appointment.The prerequisite of weave pattern modeling is to build a network model.After network model consisted of, all yarns were considered to be along horizontal or vertical direction craspedodrome striped.The intertwined point type of yarn depends on weft yarn and warp thread relative position when interweaving.If warp thread up, this interlacing point is through the intertwined point, otherwise is the latitude intertwined point.In the present invention, the braiding structure that represents fabric due to the matrix that is consisted of by 0 and 1 liang of element by.As shown in Figure 2, wherein, the left side be the actual weave pattern of fabric, the right be the corresponding matrix of weave pattern.In fact, fabric establishment pattern is made of elementary organization's cycling element (complete organization) repeated arrangement, thereby makes textile image show certain textural characteristics.Each basic cycling element has identical structure in textile image.Consisting of the institutional framework of the basic cycling element of fabric, is the basic constraint of automatic fabric weaving style.If convert the intertwined point type map of weaving textile structure to consist of by 0,1 weave matrix, the irrelevant Vector Groups of the maximum of the row and column vector of its matrix is exactly the basic cycling element of fabric.The irrelevant group of the vector maximum number of wherein going is the weft yarn period, and the maximum irrelevant group number of column vector is the warp thread period.So, in modeling, can represent braiding structure with fundamental matrix, and the system that pre-deposits is selected for modeling person, in modeling process, to selecting fundamental matrix, extend along warp, latitude direction respectively, just can obtain braiding matrix and the braiding structure of the required size of modeling, as shown in Figure 3.According to the parameter that modeling sets, can determine the yarn intertwined point that is partitioned into and the corresponding relation that weaves matrix element, and according to this corresponding relation, the intertwined point that generates be arranged.
Step 9: the modeling yarn to difference numbering, extract its color from the color index table, be used for warp corresponding to model, latitude intertwined point and carry out additive process; Simultaneously, with the eider down information of intertwined point, join the image of weave pattern, finally construct yarn in kind to specifying braiding structure weave pattern 3-D view.
In carrying out yarn weave pattern modeling process, warp thread and the weft yarn colouring information in the weave pattern model can be made of two one dimension matrixes and a yarn color concordance list.The palette of the similar bitmap of color index table.If the number of modeling yarn is N, every one thread institute reference numeral is 0,1,2, N-1, by color code, just can find actual color value in the color map table.So on warp, latitude direction, yarn color is arranged available two one dimension matrix representations, in matrix, element is the numbering of yarn.So with yarn number arrange can be simple and clear the arrangement regulation that represents yarn, and determine easily the color of intertwined point.So in modeling process, warp, the latitude diverse location of selecting different yarns to be placed in weave pattern carry out modeling, in fact be exactly to have set up two color matrixes, the entry of a matrix element has represented the numbering of yarn, and just can determine the color of the color of yarn and intertwined point corresponding to this yarn according to the color index table of setting up.Each grid is carried out color filling method is: when being shown as through the intertwined point, concrete color value is with corresponding through line color; When being shown as the latitude intertwined point, concrete color value is corresponding with the parallel color; The fine hair information of intertwined point can be filled to process figure warp thread picture corresponding intertwined point fine hair average number.The flow process of whole modeling as shown in Figure 5.
Step 10: the weave pattern image that is shown yarn by liquid crystal display.
The production of textile enterprise has at present presented the development trend of short run, many kinds, and textile enterprise needs a kind of modeling of yarn weave pattern in kind fast and accurately, to realize the visual effect of rapid evaluation yarn weave pattern.The intelligent rapid modeling that develops into the yarn weave pattern of computer vision system and image processing techniques provides new method, and it not only can realize extracting the yarn characteristic parameter automatically, more can according to user's requirement, realize the rapid modeling of weave pattern.The present invention adopts the track planning of dual robots vision system, directly obtains yarn two sides surface image and analyzes and process, and extracts yarn Modelling feature parameter, as requested the weave pattern model of Rapid Establishment yarn.Apparatus and method proposed by the invention, help yarn fabric to carry out rapid Design, assessment yarn weave pattern visual effect realizes to China's weaving and garment enterprise that the detection of automatic, intelligent rapid response design manufacturing system and yarn qualities and appraisement system and world standard integrate with and is significant.
Claims (7)
1. the digital modeling device of a yarn weave pattern in kind, comprise casing (1), it is characterized in that, be provided with yarn imaging chamber (7) in described casing (1), yarn imaging chamber is installed with yarn in (7), yarn one end is connected with yarn driver (4), and the other end is connected with coiling apparatus (8); Described yarn imaging chamber (7) is provided with one group of back light (5) that is connected with light source controller (6); Described yarn imaging chamber's (7) upper side and trailing flank are equipped with CCD imaging system (2), and two CCD imaging systems are mutually vertical, are used for gathering described yarn two sides image; Described yarn driver (4) is connected with computing machine (10) respectively with light source controller (6); The mode of mathematical modeling of utilizing described computing machine (10) constructs yarn in kind to specifying braiding structure weave pattern 3-D view.
2. the digital modeling device of yarn weave pattern in kind according to claim 1, it is characterized in that, described computing machine (10) is used for building the yarn architecture types of database, and store with the fundamental matrix that Was Used forms, expand by the fundamental matrix of selecting is carried out row, column during modeling, obtain the braiding matrix of the required scale of modeling; Computing machine is that oval sequence image fits to the modeling yarn curve shape by xsect, and obtain distance between two edges of yarn plane picture with orthogonal two CCD imaging systems, major axis and minor axis as the yarn cross section ellipse, by the corresponding relation of yarn in kind with the picture size that collects, the yarn that match is formed is divided into elliptical cylinder-shape braiding intertwined point one by one; Described computing machine extracts the color of modeling yarn from the figure warp thread picture, build a color index table, and the index value of its table is the numbering of yarn, and three territories of its correspondence represent respectively R, G, the B value of this yarn color; Computing machine joins the image of weave pattern with the eider down information of intertwined point, finally constructs yarn in kind to specifying braiding structure weave pattern 3-D view.
3. the digital modeling device of yarn weave pattern in kind according to claim 1, is characterized in that, described casing (1) and yarn imaging chamber (7) are enclosed construction.
4. the digital modeling device of yarn weave pattern in kind according to claim 1, it is characterized in that, described yarn driver (4) is used for controlling yarn in kind and passes through yarn imaging chamber (7) with certain speed, so that CCD imaging system (2) can its image of segmentation continuous acquisition.
5. the digital modeling device of yarn weave pattern in kind according to claim 1, is characterized in that, described CCD imaging system (2) is furnished with the standard calibrating template that resolution is 10um.
6. the digital modeling device of yarn weave pattern in kind according to claim 1, is characterized in that, described back light (5) is white light LEDs.
7. the digital modeling method of a yarn weave pattern in kind, is characterized in that, comprises the following steps:
(1) set between the length and width and warp thread of automatic fabric weaving style, the braiding distance between weft threads, and all modeling yarns are numbered;
(2) adopt model building device to carry calibrating template, two CCD imaging systems are demarcated, the physical size of the corresponding detected object of computed image pixel institute, the shooting speed of setting yarn movement speed and CCD;
(3) will be arranged on respectively on device claimed in claim 1 for all yarns of modeling and detect, when yarn passes through image space by certain speed, two CCD imaging systems gather yarn two sides image continuously from two vertical direction, and are stored in computing machine;
(4) to the continuous two sides image of the same numbering yarn that obtains, splice respectively processing, then carry out filtering and process, eliminate the light reflecting background of introducing in imaging process;
(5) to same numbering yarn, get the average of color as the color of this yarn modeling; To participating in all yarns of modeling, be numbered index value with it, color R, G, B are contents in table, set up a yarn color concordance list;
(6) adopt the sub-pixel positioning method, detect respectively two edges of same numbering yarn two sides image, and take pixel as step pitch, along the length of yarn direction, calculate the spacing of same position two edges, fit to oval yarn at major axis and the minor axis of each position xsect as yarn, calculate simultaneously yarn feather number;
(7) all yarns are carried out the three-dimensional match of elliptical cylinder-shape, and according to the setting parameter of automatic fabric weaving style and the corresponding relation of figure warp thread picture and yarn physical size, the oval yarn of match is divided into continuous weaving intertwined point one by one;
(8) select weaving textile basic structure matrix, and according to the size of need established model, this matrix is carried out the row, column expansion obtain weaving matrix, take warp, the latitude of braiding matrix and yarn put in order and spacing as constraint, determine the corresponding relation between each yarns interwoven point and braiding matrix element, and all intertwined point 3-D views are arranged according to the braiding structure matrix;
(9) to the modeling yarn of difference numbering, extract its color from the color index table, be used for warp corresponding to model, latitude intertwined point and carry out additive process and photo-irradiation treatment; Simultaneously, with the eider down information of intertwined point, join the image of weave pattern, finally construct yarn in kind to specifying braiding structure weave pattern 3-D view.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310098276.3A CN103176420B (en) | 2013-03-26 | 2013-03-26 | Physical yarn woven-pattern digital modeling device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310098276.3A CN103176420B (en) | 2013-03-26 | 2013-03-26 | Physical yarn woven-pattern digital modeling device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103176420A true CN103176420A (en) | 2013-06-26 |
| CN103176420B CN103176420B (en) | 2015-06-03 |
Family
ID=48636375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310098276.3A Expired - Fee Related CN103176420B (en) | 2013-03-26 | 2013-03-26 | Physical yarn woven-pattern digital modeling device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103176420B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103759662A (en) * | 2013-12-31 | 2014-04-30 | 东华大学 | Dynamic textile yarn diameter rapid-measuring device and method |
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN106570288A (en) * | 2016-11-09 | 2017-04-19 | 中国科学院深圳先进技术研究院 | Modeling method and apparatus for braiding structure |
| CN108977951A (en) * | 2018-07-26 | 2018-12-11 | 南通大学 | Suitable for various spinning equipments, the technique automatic design method of any processing flow |
| CN109632813A (en) * | 2019-01-18 | 2019-04-16 | 福建伟易泰智能科技有限公司 | The detection of heald harness eye and processing method and processing device |
| CN109800532A (en) * | 2019-01-31 | 2019-05-24 | 西安工程大学 | A kind of three-dimensional simulation method of plain fabric |
| CN110502657A (en) * | 2019-08-09 | 2019-11-26 | 广东溢达纺织有限公司 | Woven label weft yarn color determines method, apparatus, computer equipment and storage medium |
| CN112131724A (en) * | 2020-09-09 | 2020-12-25 | 江南大学 | Three-dimensional design simulation system and method for knitted product |
| CN113106586A (en) * | 2021-04-16 | 2021-07-13 | 鲁泰纺织股份有限公司 | Production method of pure cotton flexible yarn |
| CN113547772A (en) * | 2021-06-08 | 2021-10-26 | 南京玻璃纤维研究设计院有限公司 | Preparation method of fan blade with mixed structure |
| CN116664452A (en) * | 2023-07-28 | 2023-08-29 | 吉林省星博医疗器械有限公司 | Multi-scale enhancement method and system for multi-channel fluorescent image |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9984261B2 (en) | 2016-10-04 | 2018-05-29 | Ebay Inc. | Warp and weft encoding of garment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1844550A (en) * | 2006-01-26 | 2006-10-11 | 香港理工大学 | Textile and yarn analysis system based on two-side scanning technology |
| CN101650832A (en) * | 2008-08-04 | 2010-02-17 | 香港纺织及成衣研发中心 | Image analysis method of knitting pattern |
| CN102523366A (en) * | 2011-12-13 | 2012-06-27 | 上海工程技术大学 | Automatic fabric weaving style analyzing system and method |
| CN202433309U (en) * | 2011-12-08 | 2012-09-12 | 常州中港纺织智能科技有限公司 | Real-time yarn appearance digitized analytic system |
-
2013
- 2013-03-26 CN CN201310098276.3A patent/CN103176420B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1844550A (en) * | 2006-01-26 | 2006-10-11 | 香港理工大学 | Textile and yarn analysis system based on two-side scanning technology |
| CN101650832A (en) * | 2008-08-04 | 2010-02-17 | 香港纺织及成衣研发中心 | Image analysis method of knitting pattern |
| CN202433309U (en) * | 2011-12-08 | 2012-09-12 | 常州中港纺织智能科技有限公司 | Real-time yarn appearance digitized analytic system |
| CN102523366A (en) * | 2011-12-13 | 2012-06-27 | 上海工程技术大学 | Automatic fabric weaving style analyzing system and method |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103759662B (en) * | 2013-12-31 | 2017-06-06 | 东华大学 | A kind of textile yarn diameter dynamic rapid measurement device and method |
| CN103759662A (en) * | 2013-12-31 | 2014-04-30 | 东华大学 | Dynamic textile yarn diameter rapid-measuring device and method |
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN104392032B (en) * | 2014-11-13 | 2017-06-27 | 哈尔滨工业大学 | Thread material parameter identification method based on FInite Element |
| CN106570288B (en) * | 2016-11-09 | 2020-02-21 | 中国科学院深圳先进技术研究院 | Method and device for modeling braided structure |
| CN106570288A (en) * | 2016-11-09 | 2017-04-19 | 中国科学院深圳先进技术研究院 | Modeling method and apparatus for braiding structure |
| CN108977951A (en) * | 2018-07-26 | 2018-12-11 | 南通大学 | Suitable for various spinning equipments, the technique automatic design method of any processing flow |
| CN109632813A (en) * | 2019-01-18 | 2019-04-16 | 福建伟易泰智能科技有限公司 | The detection of heald harness eye and processing method and processing device |
| CN109800532A (en) * | 2019-01-31 | 2019-05-24 | 西安工程大学 | A kind of three-dimensional simulation method of plain fabric |
| CN110502657A (en) * | 2019-08-09 | 2019-11-26 | 广东溢达纺织有限公司 | Woven label weft yarn color determines method, apparatus, computer equipment and storage medium |
| CN110502657B (en) * | 2019-08-09 | 2021-10-01 | 广东溢达纺织有限公司 | Woven label weft color determination method and device, computer equipment and storage medium |
| CN112131724A (en) * | 2020-09-09 | 2020-12-25 | 江南大学 | Three-dimensional design simulation system and method for knitted product |
| CN113106586A (en) * | 2021-04-16 | 2021-07-13 | 鲁泰纺织股份有限公司 | Production method of pure cotton flexible yarn |
| CN113547772A (en) * | 2021-06-08 | 2021-10-26 | 南京玻璃纤维研究设计院有限公司 | Preparation method of fan blade with mixed structure |
| CN113547772B (en) * | 2021-06-08 | 2022-09-16 | 南京玻璃纤维研究设计院有限公司 | Preparation method of fan blade with mixed structure |
| CN116664452A (en) * | 2023-07-28 | 2023-08-29 | 吉林省星博医疗器械有限公司 | Multi-scale enhancement method and system for multi-channel fluorescent image |
| CN116664452B (en) * | 2023-07-28 | 2023-09-29 | 吉林省星博医疗器械有限公司 | Multi-scale enhancement method and system for multi-channel fluorescent image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103176420B (en) | 2015-06-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103176420B (en) | Physical yarn woven-pattern digital modeling device and method | |
| CN103759662B (en) | A kind of textile yarn diameter dynamic rapid measurement device and method | |
| CN102523366B (en) | Automatic fabric weaving style analyzing system and method | |
| CN104535004B (en) | A kind of yarn diameter detection method based on image procossing | |
| CN105806259B (en) | A kind of method for three-dimensional measurement based on the projection of two-value grating defocus | |
| CN104181686A (en) | Light field microscopical method based on FPM | |
| Zhang et al. | A review of fabric identification based on image analysis technology | |
| CN107273622B (en) | Digital yarn simulation method based on fiber | |
| CN103196917A (en) | CCD linear array camera-based online rolled sheet material surface flaw detection system and detection method thereof | |
| CN102970504A (en) | Image projecting device, image processing device, image projecting method, and computer-readable recording medium | |
| CN1844550A (en) | Textile and yarn analysis system based on two-side scanning technology | |
| CN110243831A (en) | Surface defect acquisition system, detection method of surface flaw, device and storage medium | |
| CN113724241B (en) | Broken filament detection method and device for carbon fiber warp-knitted fabric and storage medium | |
| CN106979952A (en) | A kind of algae detection and Statistics of Density devices and methods therefor based on machine vision technique | |
| CN110428463A (en) | The method that image automatically extracts center during aspherical optical element defocus blur is fixed | |
| CN109594319A (en) | A kind of pck count intelligent detection device and method | |
| CN100561258C (en) | Phase-shifted grating in a kind of three-dimension measuring system | |
| Zhang et al. | Density measurement of yarn dyed woven fabrics based on dual-side scanning and the FFT technique | |
| CN108986072A (en) | Moire fringes method for quantitatively evaluating and product design method, computer-readable medium and electronic equipment | |
| Lim et al. | Analysis of woven fabric structure using image analysis and artificial intelligence | |
| CN106875459A (en) | A kind of colored figured texture weave structure adaptive equalization methods based on image segmentation | |
| CN108733900B (en) | Method for appearance simulation and visual evaluation of bunchy yarn fabric | |
| CN206114545U (en) | Singly take photograph wide visual field of camera vision thread detection device | |
| CN109600531A (en) | Binocular vision scanning system and scan method | |
| Yuan et al. | An investigation of woven fabric density measurement using image analysis based on RTV-SFT |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150603 Termination date: 20180326 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |