CN108303046A - A kind of detection method of woven fabric garment bottom sewing corrugation flatness - Google Patents
A kind of detection method of woven fabric garment bottom sewing corrugation flatness Download PDFInfo
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- CN108303046A CN108303046A CN201810113139.5A CN201810113139A CN108303046A CN 108303046 A CN108303046 A CN 108303046A CN 201810113139 A CN201810113139 A CN 201810113139A CN 108303046 A CN108303046 A CN 108303046A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30124—Fabrics; Textile; Paper
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
The invention discloses the detection methods that a kind of woven fabric garment bottom crimping sews corrugation flatness, the method is that the detection of bottom appearance sewing flatness is carried out for the sample of standard or homemade sample, the detection data of the sample of standard is stored in standard database and is called, the parameter of counterpart carries out analysis comparison in the detection data and standard database of homemade sample, obtains the grade of the corrugation flatness of homemade sample；The method is to be all made of computer to image to the sample of homemade sample or standard, and three-dimensional data processing solves characterization parameter, finally obtains woven fabric garment bottom crimping sewing corrugation flatness parameter；The detection data of the sample of standard is saved in spare in standard database；The flatness of the self-control sample is exported compared with homemade sample woven fabric corresponding with java standard library.The methodological science of the present invention is reasonable, simple and practicable, and intelligence degree is high, and precision is high, efficient, can be substantially reduced labor intensity and cost.
Description
Technical field
The present invention relates to clothes detections, more particularly to a kind of detection sewing corrugation flatness to the woven fabric garment bottom
Method.
Background technology
With the improvement of living standards, consumer increasingly payes attention to the presentation quality of clothes, clothes production enterprise is to ready-made clothes
Quality control also improves therewith.Wherein, fabric sewing corrugation degree not only directly affects ready-made clothes quality, has an effect on the production of clothes
Efficiency.Clothes production enterprise is flat referring especially to the washed rear seam appearance of standard GB/T/T13771-2009 evaluation fabrics at present
The test method of whole degree, under defined lighting condition, to sample and seam flat appearance degree standard sample photograph or three-dimensional standard sample
Plate carries out range estimation comparison, evaluates the seam flat appearance degree series of sample.Standard sample shines or 5 grades of expressions of three-dimensional standard jig connect
It is best to stitch flat appearance degree, 1 grade indicates that seam flat appearance degree is worst, is shone between standard sample or the centre of model 1 and 2 is 1.5,
One shares 9 values of series.Its shortcoming：It is often easily passed through by observer using the appearance ratings value of this subjective evaluation method
The influence of the factors such as degree, observing environment is tested, causes the flat appearance degree rank deficient of output accurate, while observer's labor intensity
It is not only big, but also the easy accuracy for influencing evaluation result that works long hours.
Invention content
The purpose of the present invention overcomes the shortcomings of the prior art, and using computer assisted method, passes through image and three
The processing such as dimension scanning provide a kind of detection method of woven fabric garment bottom sewing corrugation flatness.
The object of the invention is achieved by the following technical programs：
The method is that the detection of bottom appearance sewing flatness, the sample of standard are carried out for the sample of standard or homemade sample
The detection data of product is stored in standard database and is called, counterpart in the detection data and standard database of homemade sample
Parameter carry out analysis comparison, obtain the grade of the corrugation flatness of homemade sample；
It the described method comprises the following steps：
The first step：Sample selects
A kind of sample of standard is selected, which is the product for obtaining authoritative institution's evaluation, alternatively,
The cloth that a selected slip gauge is sized, the completion on specified sewing machine is defined certainly according to the technological requirement of regulation by sewer
After crimping sewing, homemade sample is formed；
Second step：Sample rests in standard chamber 24 hours；
Third walks：Input sample code
The Sample code is divided into the feature code of sample and two parts of class code of sample, and the two is not without successively suitable
Point of sequence；
4th step：Generate three-dimensional modeling data
401：3-D scanning is carried out to sample, computer is collected and preserves original 3 d scan data；
402：Original 3 d scan data is generated and preserves the three-dimensional modeling data of STL formats by computer；
5th step：Generate three-dimensional point data
501：Computer starting program transfers the three-dimensional modeling data of STL formats, manually selects the polygon of the non-crimping of sample,
Execute and switch to " polygon " for the operation of " point ", to obtain the crimping three dimensional point cloud of sample, ensure same sample just
Under conditions of initial point, crimping three dimensional point cloud equivalent width, it is removed the processing of the non-crimping noise of sample, is finally carried out
The encapsulation of crimping three dimensional point cloud generates the 3D solid form of bottom crimping and preserves；
502：Computer establishes the three-dimensional coordinate system of XYZ axis in 3D solid form, is original with the sewing initial point of sample
Point, using sewing thread direction as x-axis, using positioned at cloth central core and perpendicular to the direction of x-axis as y-axis, with both perpendicular to x, y-axis
Direction be z-axis；
503：To the x of 3D solid form in three-dimensional coordinate system, the gridding processing that y plane carries out i rows j row generates k
The area of quadrangle, each quadrangle is Sk；I, j are to divide corresponding x equally respectively, the quantity+1 of y overall lengths；With the intersection of i rows j row
Point is calculating point P（X, y）, read and each calculate point P in STL formatted files（X, y）Corresponding Z values form new txt formats
File simultaneously preserves；
504：Computer reads the file of txt formats, by all calculating point P（X, y）X, the data of y, z switch to xlsx formats
The three-dimensional point data of bottom crimping；
6th step：Solve characterization parameter
601：Computer configures different colors or ash to the three-dimensional point data of the bottom crimping of xlsx formats according to height z values
Degree generates the bottom crimping 3-D view with colored or gray scale；
602：Elevation H is solved, elevation H is the average value of all height Z, the average height of the whole bottom crimping of elevation H characterizations；
603：Gradient θ is solved, gradient θ is the excessively any calculating point P of bottom crimping curved surface（X, y）The tangent plane at place and XY horizontal planes
Angle characterizes the inclined degree of local crimping curved surface；
604：Solve surface roughness M, surface roughness M be sample projected area SB and sample practical curved surface accumulate SA it
Than that is,：M=SB/SA；
7th step：Whether " self-control sample " judges
When it is "No" to judge " self-control sample ", the characterization parameter that all input datas and detection solution obtain all is saved in mark
Spare in quasi- database, detection terminates；
When judge " self-control sample " as "Yes" when, into next step " characterization parameter compares "；
8th step：Characterization parameter compares
Detection is solved obtained characterization parameter to compare with the characterization parameter of counterpart in standard database, knot is compared in preservation
Fruit；
9th step：Flatness detection list exports
According to the comparison result that step " characterization parameter compares " preserves, selective output flatness detection list, flatness detection
Single type for designing evaluation index according to actual needs, the individual event grade evaluation that each index provides, finally provides comprehensive etc.
Grade evaluation.
The sample practical curved surface product SA computational methods be
SA=S1+S2+…+Sk。
The computational methods of the projected area SB of the sample are
SB=S1cosθ1+S2cosθ2+…+Skcosθk。
The Handyscan 3D series hand helds of Creaform Xingchuang Co. research and development are selected during the 3-D scanning certainly
Position three-dimensional laser scanner and its software.
The data of the standard database can also be inputted and preserved by " manually input " mode.
Compared with prior art, the present invention has the following advantages：It is scientific and reasonable, it is simple and practicable, labor can be substantially reduced
Fatigue resistance improves accuracy of detection and working efficiency.
Description of the drawings
Fig. 1 is the flow chart of an embodiment of the method for the present invention.
Specific implementation mode
In the following with reference to the drawings and specific embodiments, the present invention will be further explained.
The method is that the detection of bottom appearance sewing flatness, standard are carried out for the sample of standard or homemade sample
Sample detection data be stored in standard database be called, it is right in the detection data and standard database of homemade sample
It answers the parameter of object to carry out analysis comparison, obtains the grade of the corrugation flatness of homemade sample；
It the described method comprises the following steps：
The first step：Sample selects
A kind of sample of standard is selected, which is the product for obtaining authoritative institution's evaluation, alternatively,
The cloth that a selected slip gauge is sized, the completion on specified sewing machine is defined certainly according to the technological requirement of regulation by sewer
After crimping sewing, homemade sample is formed；
Second step：Sample rests in standard chamber 24 hours；
Third walks：Input sample code
The Sample code is divided into the feature code of sample and two parts of class code of sample, and the two is not without successively suitable
Point of sequence；
4th step：Generate three-dimensional modeling data
401：3-D scanning is carried out to sample, computer is collected and preserves original 3 d scan data；
402：Original 3 d scan data is generated and preserves the three-dimensional modeling data of STL formats by computer；
5th step：Generate three-dimensional point data
501：Computer starting program transfers the three-dimensional modeling data of STL formats, manually selects the polygon of the non-crimping of sample,
Execute and switch to " polygon " for the operation of " point ", to obtain the crimping three dimensional point cloud of sample, ensure same sample just
Under conditions of initial point, crimping three dimensional point cloud equivalent width, it is removed the processing of the non-crimping noise of sample, is finally carried out
The encapsulation of crimping three dimensional point cloud generates the 3D solid form of bottom crimping and preserves；
502：Computer establishes the three-dimensional coordinate system of XYZ axis in 3D solid form, is original with the sewing initial point of sample
Point, using sewing thread direction as x-axis, using positioned at cloth central core and perpendicular to the direction of x-axis as y-axis, with both perpendicular to x, y-axis
Direction be z-axis；
503：To the x of 3D solid form in three-dimensional coordinate system, the gridding processing that y plane carries out i rows j row generates k
The area of quadrangle, each quadrangle is Sk；I, j are to divide corresponding x equally respectively, the quantity+1 of y overall lengths；With the intersection of i rows j row
Point is calculating point P（X, y）, read and each calculate point P in STL formatted files（X, y）Corresponding Z values form new txt formats
File simultaneously preserves；
504：Computer reads the file of txt formats, by all calculating point P（X, y）X, the data of y, z switch to xlsx formats
The three-dimensional point data of bottom crimping；
6th step：Solve characterization parameter
601：Computer configures different colors or ash to the three-dimensional point data of the bottom crimping of xlsx formats according to height z values
Degree generates the bottom crimping 3-D view with colored or gray scale；
602：Elevation H is solved, elevation H is the average value of all height Z, the average height of the whole bottom crimping of elevation H characterizations；
603：Gradient θ is solved, gradient θ is the excessively any calculating point P of bottom crimping curved surface（X, y）The tangent plane at place and XY horizontal planes
Angle characterizes the inclined degree of local crimping curved surface；
604：Solve surface roughness M, surface roughness M be sample projected area SB and sample practical curved surface accumulate SA it
Than that is,：M=SB/SA；
7th step：Whether " self-control sample " judges
When it is "No" to judge " self-control sample ", the characterization parameter that all input datas and detection solution obtain all is saved in mark
Spare in quasi- database, detection terminates；
When judge " self-control sample " as "Yes" when, into next step " characterization parameter compares "；
8th step：Characterization parameter compares
Detection is solved obtained characterization parameter to compare with the characterization parameter of counterpart in standard database, knot is compared in preservation
Fruit；
9th step：Flatness detection list exports
According to the comparison result that step " characterization parameter compares " preserves, selective output flatness detection list, flatness detection
Single type for designing evaluation index according to actual needs, the individual event grade evaluation that each index provides, finally provides comprehensive etc.
Grade evaluation.
The sample practical curved surface product SA computational methods be
SA=S1+S2+…+Sk。
The computational methods of the projected area SB of the sample are
SB=S1cosθ1+S2cosθ2+…+Skcosθk。
The Handyscan 3D series hand helds of Creaform Xingchuang Co. research and development are selected during the 3-D scanning certainly
Position three-dimensional laser scanner and its software.
The data of the standard database can also be inputted and preserved by " manually input " mode.
Embodiment 1：
The method is that the detection of bottom appearance sewing flatness, the sample of standard are carried out for the sample of standard or homemade sample
The detection data of product is stored in standard database and is called, counterpart in the detection data and standard database of homemade sample
Parameter carry out analysis comparison, obtain the grade of the corrugation flatness of homemade sample；
It the described method comprises the following steps：
The first step：Sample selects
A kind of sample of standard is selected, which is the product for obtaining authoritative institution's evaluation, alternatively,
The cloth that a selected slip gauge is sized, the completion on specified sewing machine is defined certainly according to the technological requirement of regulation by sewer
After crimping sewing, homemade sample is formed；
Second step：Sample rests in standard chamber 24 hours；In the present embodiment, the indoor temperature of the standard is 18-22
DEG C, relative humidity 63-67%.In practical applications, different clothes and its raw material, standard is indoor to be warmly taken and relatively wet
Degree is distinguishing.
Third walks：Input sample code
The Sample code is divided into the feature code of sample and two parts of class code of sample, and the two is not without successively suitable
Point of sequence；In the present embodiment, such as Sample code 08121511-0, wherein first part 08121511 is the feature generation of sample
Yard, 08 in 08121511 is shirt, and 12 be cotton, and 15 be flanging type, and 11 be flanging size；Second part 0 is sample
Class code, wherein 0 indicates the sample of standard, 1 indicates homemade sample.
4th step：Generate three-dimensional modeling data
401：3-D scanning is carried out to sample, computer is collected and preserves original 3 d scan data；
402：Original 3 d scan data is generated and preserves the three-dimensional modeling data of STL formats by computer；
5th step：Generate three-dimensional point data
501：Computer starting program transfers the three-dimensional modeling data of STL formats, manually selects the polygon of the non-crimping of sample,
Execute and switch to " polygon " for the operation of " point ", to obtain the crimping three dimensional point cloud of sample, ensure same sample just
Under conditions of initial point, crimping three dimensional point cloud equivalent width, it is removed the processing of the non-crimping noise of sample, is finally carried out
The encapsulation of crimping three dimensional point cloud generates the 3D solid form of bottom crimping and preserves；
502：Computer establishes the three-dimensional coordinate system of XYZ axis in 3D solid form, is original with the sewing initial point of sample
Point, using sewing thread direction as x-axis, using positioned at cloth central core and perpendicular to the direction of x-axis as y-axis, with both perpendicular to x, y-axis
Direction be z-axis；
503：To the x of 3D solid form in three-dimensional coordinate system, the gridding processing that y plane carries out i rows j row generates k
The area of quadrangle, each quadrangle is Sk；I, j are to divide corresponding x equally respectively, the quantity+1 of y overall lengths；With the intersection of i rows j row
Point is calculating point P（X, y）, read and each calculate point P in STL formatted files（X, y）Corresponding Z values form new txt formats
File simultaneously preserves；
504：Computer reads the file of txt formats, by all calculating point P（X, y）X, the data of y, z switch to xlsx formats
The three-dimensional point data of bottom crimping；
6th step：Solve characterization parameter
601：Computer configures different colors or ash to the three-dimensional point data of the bottom crimping of xlsx formats according to height z values
Degree generates the bottom crimping 3-D view with colored or gray scale；
602：Elevation H is solved, elevation H is the average value of all height Z, the average height of the whole bottom crimping of elevation H characterizations；
603：Gradient θ is solved, gradient θ is the excessively any calculating point P of bottom crimping curved surface（X, y）The tangent plane at place and XY horizontal planes
Angle characterizes the inclined degree of local crimping curved surface；
604：Solve surface roughness M, surface roughness M be sample projected area SB and sample practical curved surface accumulate SA it
Than that is,：M=SB/SA；
7th step：Whether " self-control sample " judges
When it is "No" to judge " self-control sample ", the characterization parameter that all input datas and detection solution obtain all is saved in mark
Spare in quasi- database, detection terminates；
When judge " self-control sample " as "Yes" when, into next step " characterization parameter compares "；
8th step：Characterization parameter compares
Detection is solved obtained characterization parameter to compare with the characterization parameter of counterpart in standard database, knot is compared in preservation
Fruit；
9th step：Flatness detection list exports
According to the comparison result that step " characterization parameter compares " preserves, selective output flatness detection list, flatness detection
Single type for designing evaluation index according to actual needs, the individual event grade evaluation that each index provides, finally provides comprehensive etc.
Grade evaluation.
Embodiment 2：
It is substantially the same manner as Example 1, unlike：The sample practical curved surface product SA computational methods be
SA=S1+S2+…+Sk。
Embodiment 3,4:：
It is essentially identical with embodiment 1,2 respectively, unlike：The computational methods of the projected area SB of the sample are
SB=S1cosθ1+S2cosθ2+…+Skcosθk。
Embodiment 5,6,7,8：
It is essentially identical with embodiment 1,2,3,4 respectively, unlike：Select Creaform shapes wound public during the 3-D scanning
Take charge of the self-positioning three-dimensional laser scanner of Handyscan 3D series hand helds and its software of research and development.
Embodiment 9-16：
It is essentially identical with embodiment 1-8 respectively, unlike：The data of the standard database can also pass through " manually input "
Mode is inputted and is preserved.
Claims (9)
1. a kind of detection method of woven fabric garment bottom crimping sewing corrugation flatness, the method is the sample for standard
Or homemade sample carries out the detection of bottom appearance sewing flatness, the detection data of the sample of standard is stored in standard database
In be called, the parameter of counterpart carries out analysis comparison in the detection data and standard database of homemade sample, obtains self-control
Sample corrugation flatness grade；It is characterized in that：
It the described method comprises the following steps：
The first step：Sample selects
A kind of sample of standard is selected, which is the product for obtaining authoritative institution's evaluation, alternatively,
The cloth that a selected slip gauge is sized, the completion on specified sewing machine is defined certainly according to the technological requirement of regulation by sewer
After crimping sewing, homemade sample is formed；
Second step：Sample rests in standard chamber 24 hours；
Third walks：Input sample code
The Sample code is divided into the feature code of sample and two parts of class code of sample, and the two is not without successively suitable
Point of sequence；
4th step：Generate three-dimensional modeling data
401：3-D scanning is carried out to sample, computer is collected and preserves original 3 d scan data；
402：Original 3 d scan data is generated and preserves the three-dimensional modeling data of STL formats by computer；
5th step：Generate three-dimensional point data
501：Computer starting program transfers the three-dimensional modeling data of STL formats, manually selects the polygon of the non-crimping of sample,
Execute and switch to " polygon " for the operation of " point ", to obtain the crimping three dimensional point cloud of sample, ensure same sample just
Under conditions of initial point, crimping three dimensional point cloud equivalent width, it is removed the processing of the non-crimping noise of sample, is finally carried out
The encapsulation of crimping three dimensional point cloud generates the 3D solid form of bottom crimping and preserves；
502：Computer establishes the three-dimensional coordinate system of XYZ axis in 3D solid form, is original with the sewing initial point of sample
Point, using sewing thread direction as x-axis, using positioned at cloth central core and perpendicular to the direction of x-axis as y-axis, with both perpendicular to x, y-axis
Direction be z-axis；
503：To the x of 3D solid form in three-dimensional coordinate system, the gridding processing that y plane carries out i rows j row generates k
The area of quadrangle, each quadrangle is Sk；I, j are to divide corresponding x equally respectively, the quantity+1 of y overall lengths；With the intersection of i rows j row
Point is calculating point P（X, y）, read and each calculate point P in STL formatted files（X, y）Corresponding Z values form new txt formats
File simultaneously preserves；
504：Computer reads the file of txt formats, by all calculating point P（X, y）X, the data of y, z switch to xlsx formats
The three-dimensional point data of bottom crimping；
6th step：Solve characterization parameter
601：Computer configures different colors or ash to the three-dimensional point data of the bottom crimping of xlsx formats according to height z values
Degree generates the bottom crimping 3-D view with colored or gray scale；
602：Elevation H is solved, elevation H is the average value of all height Z, the average height of the whole bottom crimping of elevation H characterizations；
603：Gradient θ is solved, gradient θ is the excessively any calculating point P of bottom crimping curved surface（X, y）The tangent plane at place and XY horizontal planes
Angle characterizes the inclined degree of local crimping curved surface；
604：Solve surface roughness M, surface roughness M be sample projected area SB and sample practical curved surface accumulate SA it
Than that is,：M=SB/SA；
7th step：Whether " self-control sample " judges
When it is "No" to judge " self-control sample ", the characterization parameter that all input datas and detection solution obtain all is saved in mark
Spare in quasi- database, detection terminates；
When judge " self-control sample " as "Yes" when, into next step " characterization parameter compares "；
8th step：Characterization parameter compares
Detection is solved obtained characterization parameter to compare with the characterization parameter of counterpart in standard database, knot is compared in preservation
Fruit；
9th step：Flatness detection list exports
According to the comparison result that step " characterization parameter compares " preserves, selective output flatness detection list, flatness detection
Single type for designing evaluation index according to actual needs, the individual event grade evaluation that each index provides, finally provides comprehensive etc.
Grade evaluation.
2. method according to claim 1, it is characterised in that：The computational methods of the practical curved surface product SA of the sample are SA
=S1+S2+…+Sk。
3. method according to claim 1 or claim 2, it is characterised in that：The computational methods of the projected area SB of the sample be SB=
S1cosθ1+S2cosθ2+…+Skcosθk。
4. method according to claim 1 or claim 2, it is characterised in that：Creaform shapes wound is selected during the 3-D scanning
The self-positioning three-dimensional laser scanner of Handyscan 3D series hand helds and its software of company's research and development.
5. method according to claim 3, it is characterised in that：Creaform Xingchuang Co. is selected during the 3-D scanning
The self-positioning three-dimensional laser scanner of Handyscan 3D series hand helds and its software of research and development.
6. method according to claim 1 or claim 2, it is characterised in that：The data of the standard database can also be by " by hand
Input " mode is inputted and is preserved.
7. method according to claim 3, it is characterised in that：The data of the standard database can also be by " defeated by hand
Entering " mode inputs and preserves.
8. method according to claim 4, it is characterised in that：The data of the standard database can also be by " defeated by hand
Entering " mode inputs and preserves.
9. method according to claim 5, it is characterised in that：The data of the standard database can also be by " defeated by hand
Entering " mode inputs and preserves.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110906887A (en) * | 2019-11-08 | 2020-03-24 | 浙江理工大学 | Method for detecting flatness of clothing sewing |
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| JPH10121368A (en) * | 1996-10-15 | 1998-05-12 | Toyobo Co Ltd | Inspection apparatus for woven fabric |
| CN1971274A (en) * | 2006-12-08 | 2007-05-30 | 东华大学 | Method for assessing smoothness level of dress material based on point model |
| CN105243671A (en) * | 2015-10-27 | 2016-01-13 | 浙江理工大学 | Testing and evaluating method for flatness of clothing in wear |
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| CN110906887B (en) * | 2019-11-08 | 2021-03-19 | 浙江理工大学 | Method for detecting flatness of clothing sewing |
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Application publication date: 20180720 |