CN102494642A - Washing action strength index determination method of domestic washing machine based on machine vision - Google Patents

Washing action strength index determination method of domestic washing machine based on machine vision Download PDF

Info

Publication number
CN102494642A
CN102494642A CN2011104071892A CN201110407189A CN102494642A CN 102494642 A CN102494642 A CN 102494642A CN 2011104071892 A CN2011104071892 A CN 2011104071892A CN 201110407189 A CN201110407189 A CN 201110407189A CN 102494642 A CN102494642 A CN 102494642A
Authority
CN
China
Prior art keywords
washing
light source
sample
image
external member
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.)
Pending
Application number
CN2011104071892A
Other languages
Chinese (zh)
Inventor
刘建立
王蕾
高卫东
王鸿博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangnan University
Original Assignee
Jiangnan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangnan University filed Critical Jiangnan University
Priority to CN2011104071892A priority Critical patent/CN102494642A/en
Publication of CN102494642A publication Critical patent/CN102494642A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Control Of Washing Machine And Dryer (AREA)

Abstract

The invention relates to a washing action strength index determination method of a domestic washing machine based on machine vision, which achieves accurate and objective evaluation on washing action strength in a washing process of fabrics. The washing action strength index determination method of the domestic washing machine based on machine vision can be achieved through a hardware part and a software part in cooperation mode, the hardware part can achieve high-accurate acquisition of images of worn cloth samples, and the software part can achieve acquisition, storage and clipping of the images, division of the images and calculation of determination parameters of the washing action strength index. In the method, the worn cloth before and after being washed is photographed, areas of the worn cloth in the images of the worn cloth samples before and after being washed are calculated, and rate of area change, namely the washing action strength index is calculated, so that abrasion to the fabrics caused by washing can be evaluated. The method solves the problems that the worn cloth after being washed is irregular in shape, the manual method for determining dimension of the worn cloth causes errors, and the area cannot be calculated accurately.

Description

Washing machine cleaning function intensity index assay method based on machine vision
Technical field
The present invention relates to a kind of washing machine cleaning function intensity index method based on machine vision; Adopt this method can accurately calculate " AS/NZS 2040.1:2005 Performance of household electrical appliances-Clothes washing machines Part 1:Methods for measuring performance; Energy and water consumption " in the area of erose fabric abrasion cloth after the washing of appendix G regulation, and then calculate the cleaning function intensity index.The method that this invention proposes is more objective, accurate than the manual measurement method that washing machine manufacturer generally adopts, and can effectively reduce test error.
Background technology
Washing machine cleaning function intensity index is to test through a kind of accelerated wear test to measure the method for evaluating performance of washing machine to the cleanup action intensity of fabric, and its evaluation index cleaning function intensity index can reflect the abrasion condition of washing process to fabric.Therefore, washing machine cleaning function intensity index is washing machine manufacturer requisite test index to washing machine performance evaluation the time.Existing method of testing be calculate the wearing and tearing cloth sample after wipe out on damaged limit according to the method for appendix G regulation in " AS/NZS2040.1:2005 Performance of household electrical appliances-Clothes washing machines Part 1:Methods for measuring performance, energy and water consumption " area relatively the minimizing ratio of its initial area as the cleaning function intensity index.Wherein, wearing and tearing initial specimen length of cloth and width are 10 centimetres all, are the squares of a rule.And after the washing, the sample edge comes off, and specimen shape may become irregular after pruning.Therefore, irregularly shaped sample planimeter is counted as to calculating the difficult problem of cleaning function intensity index.The method of machine vision is adopted in this invention, can accurately calculate the area that washs back wearing and tearing cloth sample through image segmentation, avoids the error of manual measurement.
Summary of the invention
The present invention relates to a kind of washing machine cleaning function intensity index assay method, realize the meticulous objective evaluation of cleaning function intensity in the fabric washing process based on machine vision.Washing machine cleaning function intensity index assay method based on machine vision will be realized through hardware components and software section cooperation; Hardware components should realize the wearing and tearing high precision of cloth Sample Image is obtained; Software section can real world images obtain, preservation, cutting, and image cut apart the calculating with the cleaning function intensity index.In the method, taken pictures in wearing and tearing cloth washing front and back respectively, the size of cloth area of wearing and tearing in the wearing and tearing cloth Sample Image before and after the calculating washing, and then calculate area change rate, promptly the cleaning function intensity index washs serious wear property as parameter evaluation.This method has overcome under wearing and tearing cloth out-of-shape situation after the washing, adopts the accurately difficult problem of reference area of sum of errors that manual method brings wearing and tearing cloth sample measurement size.
Hardware components should realize the wearing and tearing high precision of cloth Sample Image is obtained, it mainly by industrial video external member (1), light source (2), data transmission wires (3), main frame (4), display (5), light source controller (6) and sample place, industrial video external member and light source install the sample bench (7) of usefulness.
Industrial video external member (1) is made up of face battle array colorful CCD camera, data line and capture card, is the Primary Component that wearing and tearing cloth image is gathered.Wherein, area array CCD resolution is 2048 * 2048 pixels.
Light source (2) and light source controller (6) are used, when satisfying the collection of wearing and tearing cloth Sample Image, and the specimen surface brightness requirement.Light source controller (6) can be regulated the brightness of light source.Wherein, light source (2) should be the LED strip source, uses in pairs, and light source length is 60 centimetres, and LED row number is 6 rows in the single source.
Software section is a kind of computer program; Can be used with hardware components, obtain Sample Image, calculate the size of wearing and tearing cloth area in the washing front and back wearing and tearing cloth Sample Image; Calculate area change rate, promptly the cleaning function intensity index is as parameter evaluation cleaning function intensity.In software section; Washing wearing and tearing cloth image analytic function can be realized through programming development environment; For example the programming of MATLAB, Microsoft Visual C++, Microsoft Visual Basic and Delphi realizes, also can carry out secondary development through the digital imaging processing software of special use and realize.
This summary of the invention not only can be used for the cleaning function intensity index of washing machine to be measured, and the cleaning function intensity index that can be applied to the similar applications electric washer is simultaneously measured.Therefore; The present invention does not limit the scope with embodiment; To those skilled in the art; As long as various variations appended claim limit and the spirit of the present invention confirmed in, these variations are conspicuous, all utilize innovation and creation that the present invention conceives all at the row of protection.
Description of drawings
Schematically provided the main example of technology implementation mode of the present invention in the accompanying drawings, wherein,
Fig. 1, washing back wearing and tearing cloth Sample Image;
Fig. 2, washing back wearing and tearing cloth sample is cut apart the back image;
Fig. 3, hardware mechanism partly form synoptic diagram;
Fig. 4, software section major function synoptic diagram.
Embodiment
According to " AS/NZS 2040.1:2005 Performance of household electrical appliances-Clothes washing machines Part1:Methods for measuring performance; Energy and water consumption " require to confirm washing test condition and material specification requirement in the appendix A, B, C, formulate the experimental test scheme.Wherein, every wearing and tearing cloth all adopts NI Vision Builder for Automated Inspection shown in Figure 3 to take pictures before washing.Dry naturally wearing and tearing cloth sample washing back, and adopt flatiron pressing back to adopt NI Vision Builder for Automated Inspection shown in Figure 3 to take pictures.Suppose that the preceding wearing and tearing of washing cloth is ideal model, initial specimen length and width are 10 centimetres all, are squares, and its area is 10000 square millimeters.To wearing and tearing cloth sample collection image before washing, and cut apart.Suppose that the area of the sample grey scale pixel value is 1, non-area of the sample grey scale pixel value is 0.After then can computed segmentation in the image pixel value be 1 pixel number as the washing of wearing and tearing cloth before area A 0Suppose washing back sample, as shown in Figure 2 after cutting apart, comprising numerical value after the computed segmentation in the image in the area of the sample and be 1 number of pixels is A 1, then washing back wearing and tearing cloth sample area can be used A 1Expression.Then cleaning function intensity index η can be expressed as formula (1)
η = A 0 - A 1 A 0 - - - ( 1 )
In formula (1), η is big more before and after the same sample washing, explains that the sample wearing and tearing are serious more.
In NI Vision Builder for Automated Inspection shown in Figure 3, camera is through after demarcating, and when straight length was 1 centimetre, its length direction comprised 72 pixels, is 1 centimetre and 72 pixel equivalences at the physical size engineer's scale promptly.According to 1 centimetre and 72 pixel equivalences, can be by comprising the washing front and back wearing and tearing cloth sample real area A that the pixel number is tried to achieve in the wearing and tearing cloth sample 0And A 1, can calculate sample real area and cleaning function intensity index η.
According to " AS/NZS 2040.1:2005 Performance of household electrical appliances-Clothes washing machines Part1:Methods for measuring performance; Energy and water consumption " require to confirm washing test condition and material specification requirement in the appendix A, B, C, formulate the experimental test scheme.In testing scheme; Select the family expenses roller washing machine; Its maximum washing capacity is 8KG; Washing mode is for expressing 30 minutes, and loadtype is referring to " AS/NZS 2040.1:2005 Performance of household electrical appliances-Clothes washing machines Part 1:Methods for measuring performance, energy and water consumption " appendix C requirement.When selecting load weight to be 4KG, washing wearing and tearing cloth coupon number is 15, and it is numbered referring to table 1.Wearing and tearing cloth specification is: " thorn of イ Application デ イ ア Application Network ロ ス COSMO 1100 cotton 100% color no.11 width 91.4cm length 30m ゆ ぅ cloth ".Concrete washing parameter is: wash temperature is 30 ℃, washs 1 time, and rinsing 3 times is dewatered 1 time, and dehydrating speed is 800rpm, and total wash time is 34min.Adopt NI Vision Builder for Automated Inspection shown in Figure 3,, and cut apart, calculate sample and wash preceding area wearing and tearing cloth sample collection image before washing.Equally, calculate washing back sample area, and calculate cleaning function intensity index η according to formula (1), as shown in table 1.
Table 1 washing machine expresses 3 Wear Test Data of 30 rinsings
Figure BSA00000632140200031

Claims (7)

1. the washing machine cleaning function intensity index assay method based on machine vision will be realized through hardware components and software section cooperation; Hardware components should realize the wearing and tearing high precision of cloth Sample Image is obtained, it mainly by industrial video external member (1), light source (2), data transmission wires (3), main frame (4), display (5), light source controller (6) and sample place, industrial video external member and light source install the sample bench (7) of usefulness.Software section can real world images obtain, preservation, cutting, and image cut apart the calculating with the cleaning function intensity index.
2. according to claim 1, industrial video external member (1) should comprise face battle array colorful CCD camera, data line and capture card at least.Wherein, area array CCD resolution is not less than 2048 * 2048 pixels.
3. according to claim 1, light source (2) and light source controller (3) are used, in the time of should satisfying the collection of washing wearing and tearing cloth Sample Image, and the specimen surface brightness requirement.Light source controller (6) should be regulated the brightness of light source.Wherein, light source (2) should be the LED strip source, uses in pairs, and light source length is not less than 50 centimetres, and LED is no less than 4 rows in the single source.
4. according to claim 1; Main frame (4) should be furnished with industrial video external member IMAQ card slot or interface; At least can image pick-up card be connected with computer motherboard through a kind of mode in VGA interface, DVI interface, USB interface, 1394 interfaces or PCI slot, PCI-E slot, ISA slot, the AGP slot, realize the collection and the demonstration of image.
5. according to claim 1 and claim 4, industrial video external member (1) and main frame (4) should interconnect through data transmission wires (3) with display (5), and wherein, display (5) should be color monitor, can show the RGB coloured image.
6. according to claim 1 and claim 5, in hardware system, have two single data transfer wires (2) at least, can realize respectively that image is from industrial video external member (1) to main frame (4) with the transmission of image information from main frame (4) to display (5).
7. according to claim 1, hardware components should comprise sample bench (7), and it can be used for mounting industrial video external member (1) and light source (2), and the washing wearing and tearing cloth sample that need take pictures of placement.Wherein, the sample bench of placing the sample part be square, and size is 3 times of small sample area not.
CN2011104071892A 2011-12-09 2011-12-09 Washing action strength index determination method of domestic washing machine based on machine vision Pending CN102494642A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011104071892A CN102494642A (en) 2011-12-09 2011-12-09 Washing action strength index determination method of domestic washing machine based on machine vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011104071892A CN102494642A (en) 2011-12-09 2011-12-09 Washing action strength index determination method of domestic washing machine based on machine vision

Publications (1)

Publication Number Publication Date
CN102494642A true CN102494642A (en) 2012-06-13

Family

ID=46186486

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011104071892A Pending CN102494642A (en) 2011-12-09 2011-12-09 Washing action strength index determination method of domestic washing machine based on machine vision

Country Status (1)

Country Link
CN (1) CN102494642A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106767484A (en) * 2017-02-13 2017-05-31 北京和众视野科技有限公司 Fabric size rate of change automatic testing method, apparatus and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106767484A (en) * 2017-02-13 2017-05-31 北京和众视野科技有限公司 Fabric size rate of change automatic testing method, apparatus and system

Similar Documents

Publication Publication Date Title
CN103196917B (en) Based on online roll bending material surface blemish detection system and the detection method thereof of CCD line-scan digital camera
CN109879005A (en) Device for detecting belt tearing and method
CN101979751B (en) Method for detecting dimensional stability of fabric based on image analysis
CN102523366B (en) Automatic fabric weaving style analyzing system and method
CN103018250B (en) Image detection system for seamlines of fabric in calendering process
CN106979948B (en) Handheld portable fabric density detection system
CN102998253A (en) Dynamic measurement and characterization method of fabric wrinkle recovery angle
CN102288607A (en) Woven fabric count detector based on digital microscope
CN102819765B (en) A kind of milk somatic cell method of counting based on computer vision
CN103456021A (en) Piece goods blemish detecting method based on morphological analysis
CN103471974B (en) A kind of image method measures the method for fabric theoretic porosity
CN202024878U (en) Device for testing scraping ability of windshield wiper
CN202548896U (en) System for measuring steel packaging parameters
CN203643345U (en) Fabric crease resistance testing device for simulating practical dressing
CN102494642A (en) Washing action strength index determination method of domestic washing machine based on machine vision
CN102539349A (en) Soaping-resistance color fastness evaluation method of circular screen printed textiles on basis of image analysis
CN102564972A (en) Evaluation method for soaping resistance color fastness of yarn-dyed fabrics based on machine vision
CN102495063A (en) Method for evaluating washing wear of fabric on basis of machine vision
CN102004076B (en) Method and system for detecting foreign fiber in ginned cotton
CN102519747A (en) Machine vision-based method for measuring washing effect strength index of agitator washing machine
CN102519746A (en) Machine vision-based determining method for washing action strength index of pulsator washing machine
CN102494915A (en) Method for measuring washing action intensity index of electric washing machine based on machine vision
CN102494916A (en) Method for measuring washing action intensity index of roller-type washing machine based on machine vision
CN105578179A (en) System and method for detecting display frame rate of DMD (Digital Micro-mirror Device)
CN103020622A (en) Binaryzation method for images in linear array optical rainfall and snowfall measuring system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20120613