CN101322589A - Non-contact type human body measuring method for clothing design - Google Patents
Non-contact type human body measuring method for clothing design Download PDFInfo
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- CN101322589A CN101322589A CNA2008100231710A CN200810023171A CN101322589A CN 101322589 A CN101322589 A CN 101322589A CN A2008100231710 A CNA2008100231710 A CN A2008100231710A CN 200810023171 A CN200810023171 A CN 200810023171A CN 101322589 A CN101322589 A CN 101322589A
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Abstract
The invention relates to a human body measurement method, in particular to the non-contact human body measurement method for clothing design which belongs to the technical field of clothing design. The digital images of the front surface and the side surface of the human body are firstly obtained; the extraction of the image edges are carried out by adopting the color segmentation, the best threshold segmentation, the hole filling, the opening operation and the pixel communication image processing method, thereby obtaining the image edges of the front surface and the side surface of the human body; the human body measurement feature points and the lines are determined, the corresponding height and width measurement data of the human body for the clothing design are obtained by calculation; a mathematical model is established by applying the width and the thickness data of the human body to obtain the related circumference data, and the human body circumference measurement data for the clothing design is obtained by BP neural network simulation and regression prediction treatment. The method has simple device, convenient operation and low measurement cost, thereby being capable of meeting the requirements on the design and the production of the clothing industry and having broad popularization and application prospects.
Description
Technical field
The present invention relates to a kind of human body measurement method, particularly a kind of non-contact type human body measuring method that is used for dress designing belongs to the dress designing technical field.
Background technology
Anthropological measuring has caused researcher's concern as an element task.People study human body instrument with contacts and non-contact measurement instrument, have obtained serial achievement.
The contact anthropological measuring is that the special measuring instrument of utilization carries out contact type measurement to human body.Instrument commonly used has anthropometer and flexible tope etc.Use these measuring instruments to carry out anthropological measuring, have shortcomings such as Measuring Time is long, workload is big, the data of disposable measurement are few.Chinese patent " New Rotary buman body type measurement mechanism " discloses a kind of New Rotary buman body type measurement mechanism in (CN2751602), and this device mainly is made of jointly base, top and the bottom ball, middle and upper part rotating disk with holes, hollow vertical scale, horizontal staff.Chinese patent " a kind of measuring method of multifunction buman body type and measurement mechanism thereof " (CN1623459), gauge point and mark line on measured human body surface mark, utilize New Rotary buman body type measurement mechanism can measure human body height dimension, length dimension, human body breastheight point with respect on the angle of preceding center line plane, each cross section of human body between human body and clothes with respect to the pore volume of gravity axis, width and the gauge and the breastheight dot spacing equidimension of human body.Chinese patent " a kind of body-shape factors new method and measurement mechanism thereof that quantizes buman body type " is to determine and marker characteristic point and characteristic curve at body surface according to the associated bone position of human body (CN1613398), utilize New Rotary buman body type measurement mechanism to read characteristic point coordinates, calculate the value of the relative form factor of human body sagittal plane, different value according to the relative form factor of human body sagittal plane, contrast male sex body-shape factors discrimination standard can be differentiated different male sex's builds, thereby satisfies the digitlization requirement of somatotype and identification.
In recent years, computer vision graphics and geometric newest research results also are applied in the non-contact type human body measuring.Chinese patent " ultrasonic body measurement mechanism " (CN2069714) and " ultrasonic body instrument for measuring height " (CN88211628) in, noncontact height measurement mechanism is disclosed, utilize ultrasonic technology to measure the height of human body.Chinese patent " human body three-dimensional structure data automatic measuring system " provides a kind of human body three-dimensional structure data automatic measuring system in (CN1084374), this system is by ccd video camera and infrared imagery technique, in conjunction with optical filtering technique the human body image picked-up is preserved, utilize computer image processing technology that the human body true profile profile in the human body image is extracted, then several human body true profile profiles are carried out comprehensive computing, draw the three-dimensional data of the reflection human body stereo architectural feature that needs.Chinese patent " a kind of human body dimension measurement device " (CN2339973), position axisymmetricly, both sides at test desk is provided with video camera and projecting apparatus, video camera is installed on the The Cloud Terrace of tripod, projecting apparatus is lifted on the tripod lower end, video camera is provided with black screen behind, and the image card input in the output of video camera and the computer is electrically connected.Projecting apparatus is provided with a mobile grating, this grating is driven by screw drive mechanism by stepper motor, have a controller to be connected with computer by interface module, this controller is made up of projection light source circuit, pulse display module, stepper motor driver module, power module.Chinese patent " a kind of measurement against human body analytical method " (CN1596827) in, use the body configuration on the digital camera shooting Metering measuring table, and rotate special angle picture shot input computer by Metering measuring table carrying people, in the computer measurement analysis software, extract appearance profile, automatically the calibration measurements datum line is done manual adjustment according to concrete instrumentation object; Remove the assorted point that influences measurement result in the profile diagram, supply necessary outline line and boost line, last calibration measurements characteristic point according to corresponding characteristic point, is measured data such as human body height, width, thickness, angle, degree of enclosing.Chinese patent " a kind of human body dimension measurement method " (CN1262085) in, a kind of measurement mechanism is provided, the test desk of a level is set in it, on this test desk, set reference planes perpendicular to this test desk, and in the field range of these reference planes, set up a marking plate, with reference planes is the symmetrical centre plane, symmetric position in its two sides is provided with video camera and projecting apparatus, the place is provided with black screen in background, tested person's body is positioned at the reference planes place, the video camera of reference planes one side and the front of the tested human body of projector alignment, the back side of the video camera of reference planes opposite side and the tested human body of projector alignment, projecting apparatus uses the white light line source, a sinusoidal glass raster is housed on it, this grating is provided with start mark, the white light line sees through sinusoidal glass raster and forms structured light, projecting apparatus projects the tested person surface with this structured light and forms the deformed grating map, sinusoidal glass raster can be done equidistant stepping perpendicular to optical axis and move three phase places in a pitch, return initial phase then, in the process that grating moves, make the front and back of tested human body respectively produce four amplitude variation shape grating maps, take in the computer continuously this eight width of cloth map synchronously with video camera, computer special-purpose software by establishment, deformed grating map to tested human body is carried out preliminary treatment, rim detection, image processing and phase calculation, the three-dimensional coordinate data of acquisition tested person surface each point.In sum, for existing non-contact type human body measuring technology, more complicated all at aspects such as obtaining of the obtaining of image, processing and measurement data especially is applied to the non-contact type human body measuring of dress designing, is difficult to obtain promote.
Summary of the invention
In order to overcome the deficiency that prior art exists, the object of the present invention is to provide that a kind of equipment is simple, easy to operate, to measure cost low, be applicable to the non-contact type human body measuring method of dress designing.
To achieve the above object of the invention, the technical solution adopted in the present invention is realized by following steps:
(1) obtains the digital picture of the human body front or the back side, side;
(2) above-mentioned digital picture is adopted coloredly cut apart, optimal threshold is cut apart, hole filling, opening operation and connectivity of pixels image processing method carry out the extraction of image border, obtains human body front and side image edge;
(3) on above-mentioned human body image edge, determine anthropological measuring feature Points And lines respectively, calculate corresponding human body height that is used for dress designing and width measure data;
(4) the human body thickness data that obtains of human body width data that obtains with human body direct picture edge and relevant position, human body side image edge is set up Mathematical Modeling, obtain respectively as calculated human body relevant enclose degrees of data;
(5) the above-mentioned degrees of data of enclosing is handled through emulation of BP neutral net and regression forecasting, obtained being used for the human body girth meaurement data of dress designing.
Described anthropological measuring characteristic curve is height line (1), the wide line of waist (2), hip breadth line (3), the wide line of abdomen (4), neck breadth line (5), the wide line of neck root (6), shoulder breadth line (7), chest breadth line (8), wrist breadth line (9), brachium (10), the thick line of waist (11), hip depth line (12), abdominal depth line (13), chest depth line (14), neck depth line (15) and the thick line of neck root (16).
Describedly be used for the human body height of dress designing and height, shoulder breadth, cervical vertebra point that the width measure data comprise human body are high, waist is high, abdomen is high, stern is high and brachium.The described human body girth meaurement data that are used for dress designing comprise neck circumference, neck rhizosphere, chest measurement, waistline, abdominal circumference and the hip circumference of human body.
Compared with prior art, advantage of the present invention is:
The digital picture that the present invention obtains human body does not need expensive digital device and specific conditions, and is easy to operate, to measure cost low; The extraction of measurement data is convenient in the smooth and sealing in the image border that obtains after digital picture operated; Utilization BP neutral net is carried out the data processing, and measurement data approaches the human body actual size more, can satisfy apparel industry design and the requirement of producing, and therefore, this technology has very broad application prospects.
Description of drawings
Fig. 1 is the flow chart of embodiment of the invention non-contact type human body measuring;
Fig. 2 is the schematic diagram of characteristic curve on the embodiment of the invention human body direct picture edge;
Fig. 3 is the schematic diagram of characteristic curve on the embodiment of the invention human body side image edge;
Among the figure, characteristic curve is respectively: 1, height line; 2, the wide line of waist; 3, hip breadth line; 4, the wide line of abdomen; 5, neck breadth line; 6, the wide line of neck root; 7, shoulder breadth line; 8, chest breadth line; 9, wrist breadth line; 10, brachium; 11, the thick line of waist; 12, hip depth line; 13, abdominal depth line; 14, chest depth line; 15, neck depth line; 16, the thick line of neck root.
The specific embodiment
Below in conjunction with drawings and Examples technical scheme of the present invention is further described:
Embodiment 1:
Referring to accompanying drawing 1, it is the flow chart of present embodiment non-contact type human body measuring.The key step that realizes technical solution of the present invention is: determining of relative dimensions and determining of anthropological measuring size on the extraction of the obtaining of human digit image, image border, the image border.
1, the human digit image obtains
In the present embodiment, the digital picture of utilization digital camera shooting human body front, side.
Digital camera is fixed on the The Cloud Terrace of tripod, the fixed distance of tripod and measured object (can guarantee the measure error minimum), the color of background adopts dark, in the natural daylight condition, the digital picture of the front of shooting human body or the back side, side.Obtaining of native system digital picture is simple more than other devices, does not need expensive digital device.
2, the extraction at body digital image edge
Image processing techniques such as the integrated use colour is cut apart, optimal threshold is cut apart, hole filling, opening operation and connectivity of pixels extract the human body image edge.
For the digital picture of light background, the colour that uses C-mean cluster method to carry out the RGB image is cut apart.Because human body complexion is similar to background color, hole appears in colored cutting procedure, utilize that hole is filled, the opening operation scheduling algorithm carries out the hole filling, level and smooth contours of objects has disconnected narrow connection, has removed tiny ledge.Utilizing connectivity of pixels that image is treated to follow-up study lays the foundation.The image border that obtains after using above algorithm that digital picture is operated all is smooth and sealing, for the digital picture of dark-background utilization optimal threshold cut apart, image processing techniques such as hole filling, opening operation and connectivity of pixels operate, the image border that obtains also has identical effect
3, the determining of relative dimensions on the human body image edge
According to the statistics of anthropometric data in the prior art as can be known, there are certain proportionate relationship in the many height dimensions and the height that are used for dress designing, this characteristic rule in conjunction with human body, on the human body image edge that extracts, the ratio that relevant height accounts for height is distributed in a certain scope, comprises that promptly the relevant height of extreme value and the ratio of height can represent with the interval.In between the proportional band, it is 1 pixel that method such as utilization extremum method etc. detects first two-value representation by middle mind-set both sides, thereby determines characteristic point, by the relation between the characteristic point, determine relevant Points And lines, calculate corresponding anthropological measuring size again.
Referring to accompanying drawing 2 and accompanying drawing 3, they are respectively the schematic diagrames of characteristic curve definite on the positive and side image edge of present embodiment human body.Among Fig. 1, data such as height line 1, the wide line 2 of waist, hip breadth line 3, the wide line 4 of abdomen, neck breadth line 5, the wide line 6 of neck root, shoulder breadth line 7, chest breadth line 8, wrist breadth line 9 and brachium 10 can directly be obtained on image; In Fig. 2, data such as the thick line 11 of waist, hip depth line 12, abdominal depth line 13, chest depth line 14, neck depth line 15 and the thick line 16 of neck root can directly be obtained on image.
In the present embodiment, adopt following method to determine relevant measurement size respectively:
(1) human body height determines
Utilize region description to obtain the extreme point of body digital image, determine the height of human body according to the characteristic rule of extreme point.
(2) waistline height, waistline place width and thickness determines
Waistline is defined as the thinnest position, human body middle part, according to the statistics of a large amount of anthropometric datas in early stage, calculates the proportionate relationship of waistline height and height.The ratio that the waistline height accounts for height is distributed in the definite scope, in this interval range, lines by line scan, and be exactly the wide pixel value of waist with the minimum of a value of the absolute value of left pixel place columns in the delegation and right pixel place columns difference.Left and right sides pixel characteristic of correspondence line is the wide line of waist, and the wide line of waist be expert at is the waistline height of human body with the spacing that human body edge bottom left point is expert at.The absolute value of left pixel place columns and right pixel place columns difference is the thick pixel value of waist on this row in the human body side image.By obtaining the size that waist is wide, waist is thick after the numerical value conversion.
Adopt said method, can determine neck breadth, neck depth, the size of related parts of human body such as the neck root is wide, the neck root is thick, cervical vertebra point is high, abdomen is wide, abdominal depth, abdomen height, hip breadth, hip depth, stern height.
(3) determining of chest breadth and chest depth: according to the statistics of anthropometric data, obtain the proportionate relationship of the high and height of chest point, can be high according to human body chest point determine that with the mean value height ratio breastheight is expert at, the absolute value of left pixel place columns on this row and right pixel place columns difference is the pixel value of chest breadth.In the human body side image, the absolute value of left pixel place columns on the corresponding row and right pixel place columns difference is the pixel value of chest depth.
Adopt said method, determine the size of shoulder breadth.
(4) brachium determines
Employing is similar to definite method of waistline position, determines the position at wrist breadth line place.As shown in Figure 1, the row at wrist circumference place is P3, and the row at shoulder point place is P1, and P2 is the elbow point row between P1 and the P3.Calculate the distance between P1 and the P2, be approximately upperarm length, the distance between P2 and the P3 is approximately forearm length, they and for arm long.
4. determining of anthropological measuring size
On the human body edge image, can obtain height, shoulder breadth, cervical vertebra point is high, the waist height, the abdomen height, high and the brachium equidimension of stern, be directly used in dress designing, for the size that can not directly obtain from the image border, girth size as human body can not directly obtain on image, then on image, determine the wide of relevant position, behind the one-tenth-value thickness 1/10, obtain related data by setting up calculated with mathematical model, use the method for neutral net emulation and regression forecasting again, through determining the establishment function of BP neutral net, the hidden layer neuron number, the transfer function of hidden layer and output layer and training function, the training parameter of neutral net is set, obtains neck circumference respectively, the neck rhizosphere, chest measurement, waistline, the girth size of human body such as abdominal circumference and hip circumference.Use the BP neutral net that trains, make the performance error value minimum of network.The method of present embodiment utilization BP neutral net emulation and regression forecasting, non-cpntact measurement value and actual measured value are identical substantially, can satisfy apparel industry design and the requirement of producing, and have broad prospect for its application.
Claims (4)
1. a non-contact type human body measuring method that is used for dress designing is characterized in that it comprises the steps:
(1) obtains the digital picture of the human body front or the back side, side;
(2) above-mentioned digital picture is adopted coloredly cut apart, optimal threshold is cut apart, hole filling, opening operation and connectivity of pixels image processing method carry out the extraction of image border, obtains human body front and side image edge;
(3) on above-mentioned human body image edge, determine anthropological measuring feature Points And lines respectively, calculate corresponding human body height that is used for dress designing and width measure data;
(4) the human body thickness data that obtains of human body width data that obtains with human body direct picture edge and relevant position, human body side image edge is set up Mathematical Modeling, obtain respectively as calculated human body relevant enclose degrees of data;
(5) the above-mentioned degrees of data of enclosing is handled through emulation of BP neutral net and regression forecasting, obtained being used for the human body girth meaurement data of dress designing.
2. a kind of non-contact type human body measuring method that is used for dress designing according to claim 1 is characterized in that: described anthropological measuring characteristic curve is height line (1), the wide line of waist (2), hip breadth line (3), the wide line of abdomen (4), neck breadth line (5), the wide line of neck root (6), shoulder breadth line (7), chest breadth line (8), wrist breadth line (9), brachium (10), the thick line of waist (11), hip depth line (12), abdominal depth line (13), chest depth line (14), neck depth line (15) and the thick line of neck root (16).
3. a kind of non-contact type human body measuring method that is used for dress designing according to claim 1 is characterized in that: describedly be used for the human body height of dress designing and height, shoulder breadth, cervical vertebra point that the width measure data comprise human body are high, waist is high, abdomen is high, stern is high and brachium.
4. a kind of non-contact type human body measuring method that is used for dress designing according to claim 1 is characterized in that: the described human body girth meaurement data that are used for dress designing comprise neck circumference, neck rhizosphere, chest measurement, waistline, abdominal circumference and the hip circumference of human body.
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Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IT1258742B (en) * | 1992-01-08 | 1996-02-27 | Cad Modelling Srl | APPARATUS AND PROCEDURE FOR THE CREATION OF MODELINGS PARTICULARLY FOR THE CLOTHING INDUSTRY |
| CN1084374A (en) * | 1992-09-22 | 1994-03-30 | 东北工学院 | Human body three-dimensional structure data automatic measuring system |
| CN1133402C (en) * | 1999-02-03 | 2004-01-07 | 中国人民解放军总后勤部军需装备研究所 | Method for measuring sizes of human body |
-
2008
- 2008-07-16 CN CN2008100231710A patent/CN101322589B/en not_active Expired - Fee Related
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