CN108318355A - A kind of leather and fur products folding quality intelligent test method based on comparative analysis - Google Patents

A kind of leather and fur products folding quality intelligent test method based on comparative analysis Download PDF

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Publication number
CN108318355A
CN108318355A CN201711495440.9A CN201711495440A CN108318355A CN 108318355 A CN108318355 A CN 108318355A CN 201711495440 A CN201711495440 A CN 201711495440A CN 108318355 A CN108318355 A CN 108318355A
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China
Prior art keywords
leather
fur products
flexion
test sample
test
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CN201711495440.9A
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Chinese (zh)
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岳彩瑞
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Guangde Great Jin Machinery Co Ltd
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Guangde Great Jin Machinery Co Ltd
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Priority to CN201711495440.9A priority Critical patent/CN108318355A/en
Publication of CN108318355A publication Critical patent/CN108318355A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/32Investigating strength properties of solid materials by application of mechanical stress by applying repeated or pulsating forces
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0001Type of application of the stress
    • G01N2203/0005Repeated or cyclic
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/022Environment of the test
    • G01N2203/0222Temperature
    • G01N2203/0226High temperature; Heating means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/022Environment of the test
    • G01N2203/0222Temperature
    • G01N2203/0228Low temperature; Cooling means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/0641Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
    • G01N2203/0647Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection

Abstract

The invention discloses a kind of leather and fur products folding quality intelligent test method based on comparative analysis, includes the following steps:S1, the leather and fur products to be detected of same type is divided into n test sample;S2, n test sample is delivered to respectively in the mutually different n test cell of temperature and is subdued;S3, respectively flexion number reach T1、T2、T3……TmWhen acquisition n test sample image information and analysis, and output analysis result.Leather and fur products to be detected is put into the detection space of different temperatures and is subdued by the present invention, to verify the folding resistance of leather at different temperatures;And the flexion of a variety of different flexion numbers is carried out to leather and fur products to be detected, to judge whether leather and fur products is able to take the numerous flexions of number;To obtain virtual condition of the leather and fur products to be detected under low temperature, high temperature, low flexion number, high flexion number, and the superiority-inferiority of leather quality to be detected is analyzed by above-mentioned different conditions, improves the monitoring to leather quality safety.

Description

A kind of leather and fur products folding quality intelligent test method based on comparative analysis
Technical field
The present invention relates to leather folding quality technical field of measurement and test more particularly to a kind of leather and fur products based on comparative analysis Folding quality intelligent test method.
Background technology
Leather is firm, the durable substance of one kind made by working process of the Animal Skin by a series of physical with chemistry, It is deep by people because having good thermal stability, heat resistance and cold resistance, gas permeability and hydrofuge and preferable colorability Favor.Leather has the position that do not replace in daily life, and clothes, daily necessities made of it obtain people Permanent utilization.With the raising of scientific and technological level, leather-making technology is continued to develop, and new material is succeeded in developing in succession.With society The progress and expanding economy of meeting, people’s lives water are afraid of higher and higher so that leather and fur products demand is more and more past.Economical complete Under the background of nodularization, regulation of the various countries in relation to leather continues to introduce new, and consumers are also increasingly absorbed in the quality peace of leather Full problem.Folding quality is one of important foundation index of leather products quality.Leather is during wearing, in room temperature low temperature Under the conditions of, if without good folding quality, will cracked (splitting slurry or broken face) and other issues, and then influence leather Service life, therefore need to test the folding quality of leather.
Invention content
Technical problems based on background technology, the present invention propose a kind of leather and fur products folding based on comparative analysis Performance intelligent test method.
Leather and fur products folding quality intelligent test method proposed by the present invention based on comparative analysis, includes the following steps:
S1, the leather and fur products to be detected of same type is divided into n test sample;
S2, n test sample is delivered to respectively in the mutually different n test cell of temperature and is subdued;
S3, respectively flexion number reach T1、T2、T3……TmWhen acquisition n test sample image information and analysis, And output analysis result.
Preferably, in step S2, the humidity all same in the n test cell.
Preferably, in step S2, the temperature in the n test cell increases successively.
Preferably, in step S2, by n test sample be delivered to respectively in the mutually different n test cell of temperature into When row flexion, the flexion mode and flexion dynamics all same of n test cell.
Preferably, step S3 is specifically included:
S31, respectively flexion number reach T1、T2、T3……TmWhen acquire n test sample image information, and according to N test sample of above-mentioned image information acquisition subdues the folding line depth under number at m, is denoted as
S32, acquisition flexion number reach TiWhen j-th of test cell in test sample folding line depth Dij, and by DijWith Default folding line depth D0It is compared, works as Dij<D0When, by DijIt is included in information aggregate;
The number N of S33, statistical information set interior element, and by N and preset value N0It is compared:
Work as N<aN0When, export leather and fur products to be detected result off quality;
Work as aN0≤N≤bN0When, export the superior in quality result of leather and fur products to be detected;
Work as N>bN0When, export the quality equal result of leather and fur products to be detected;
Wherein, 1≤i≤m, 1≤j≤n, a, b are preset value, and 0<a<1, b>1.
Preferably, step S31 is specifically included:
It obtains flexion number and reaches TpWhen q-th of test cell in test sample image information, and to above-mentioned image believe Breath carries out gray proces and obtains gray level image;
Above-mentioned gray level image is divided into x region, and obtains the gray value in x region respectively and calculates x region Gray value summation, and using above-mentioned gray value summation as folding line depth, be denoted as Dpq
Wherein, 1≤p≤m, 1≤q≤n.
Preferably, step S31 further includes:
Reach T obtaining flexion numberpWhen q-th of test cell in test sample image information after, feature based carries Take technology to judge in above-mentioned image information with the presence or absence of crackle, split slurry, broken face, if in above-mentioned image information there are crackle and/or Slurry and/or broken face are split, judgement flexion number reaches TpWhen q-th of test cell in test sample folding line depth be Dmax
Wherein, DmaxFor preset value and Dmax>>D0
Leather and fur products folding quality intelligent test method proposed by the present invention based on comparative analysis, to skin in terms of two The folding quality of leather goods is detected, with comprehensively to the quality of production of leather and fur products, whether qualification judges, raising pair The stringent monitoring of its quality of production.The first aspect is:Leather and fur products to be detected is put into the detection space of different temperatures It is subdued, to verify the folding resistance of leather at different temperatures;The second aspect is:Leather and fur products to be detected is carried out more The flexions of the different flexion numbers of kind, to judge whether leather and fur products is able to take the numerous flexions of number;It is surveyed by above two Method for testing obtains virtual condition of the leather and fur products to be detected under low temperature, high temperature, low flexion number, high flexion number, and passes through Above-mentioned different conditions analyze the superiority-inferiority of leather quality to be detected, improve the monitoring to leather quality safety.
Description of the drawings
Fig. 1 is a kind of step schematic diagram of the leather and fur products folding quality intelligent test method based on comparative analysis.
Specific implementation mode
As shown in FIG. 1, FIG. 1 is a kind of leather and fur products folding quality intelligence tests based on comparative analysis proposed by the present invention Method.
Referring to Fig.1, the leather and fur products folding quality intelligent test method proposed by the present invention based on comparative analysis, including with Lower step:
S1, the leather and fur products to be detected of same type is divided into n test sample;
S2, n test sample is delivered to respectively in the mutually different n test cell of temperature and is subdued;
To avoid the interference of other environmental factors in n test cell, in present embodiment, in the n test cell Humidity all same, weaken influence of the moisture to test process in environment, ensure the precision and validity of test result.
For convenience of being smoothed out for subsequent process steps, the temperature in the n test cell increases successively, passes through setting Multiple and different temperature ranges is conducive to comprehensively examine the folding quality of leather and fur products to be detected at different temperatures It surveys, whether excellent results can be kept with determination leather and fur products to be detected comprehensively under different use environments.
To avoid external operation environment from impacting test result, n test sample is delivered to temperature mutually not respectively When being subdued in identical n test cell, the flexion mode and flexion dynamics all same of n test cell only will flexions Number is as variable, preferably to test the folding quality of leather and fur products to be detected.
S3, respectively flexion number reach T1、T2、T3……TmWhen acquisition n test sample image information and analysis, And output analysis result.
In present embodiment, step S3 is specifically included:
S31, respectively flexion number reach T1、T2、T3……TmWhen acquire n test sample image information, and according to N test sample of above-mentioned image information acquisition subdues the folding line depth under number at m, is denoted as
With obtain each flexion number and each at a temperature of skin to be detected The folding line depth of leather goods, to judge folding of the leather and fur products to be detected under different temperatures environment and different flexion numbers Performance;
S32, acquisition flexion number reach TiWhen j-th of test cell in test sample folding line depth Dij, and by DijWith Default folding line depth D0It is compared, passes through the size between the practical folding line depth and default folding line depth of contrast test sample Whether the folding resistance to know test sample is good;Work as Dij<D0When, show that subduing number reaches TiWhen j-th of test cell in The folding line depth of test sample is shallower, i.e. the folding quality of the test sample is preferable, at this time by DijIt is included in information aggregate;
The number N of S33, statistical information set interior element, and by N and preset value N0It is compared, to calculate folding line depth The number of shallower test sample is to get the preferable number of folding quality for going out test sample:
Work as N<aN0When, show in n × m testing result, the preferable number of folding quality of test sample is seldom, at this time Export leather and fur products to be detected result off quality;
Work as aN0≤N≤bN0When, show in n × m testing result, the preferable number of folding quality of test sample is just Within the scope of often, the superior in quality result of leather and fur products to be detected is exported at this time;
Work as N>bN0When, show in n × m testing result, there are many preferable number of folding quality of test sample, i.e., should The folding quality of the leather and fur products to be detected of type very well, exports to be detected at this time under different temperatures and different flexion numbers The quality equal result of leather and fur products;
It, can be directly and precisely to leather and fur products to be detected in different temperatures and different flexions time by the above method Folding quality under several is detected and judges, to the quality of leather and fur products comprehensively, targetedly monitor, meets user To the high request of leather and fur products quality;
Wherein, 1≤i≤m, 1≤j≤n, a, b are preset value, and 0<a<1, b>1.
To improve the accuracy of the folding line depth judgement to test sample, step S31 is specifically included:
It obtains flexion number and reaches TpWhen q-th of test cell in test sample image information, and to above-mentioned image believe Breath carries out gray proces and obtains gray level image;Gray proces are carried out to image information to be conducive to judge folding line based on its gray value Area and folding line weight, facilitate the judgement and analysis of the folding quality in subsequent step to test sample;
Above-mentioned gray level image is divided into x region, and obtains the gray value in x region respectively and calculates x region Gray value summation, and using above-mentioned gray value summation as folding line depth, be denoted as Dpq;By the figure for counting each test sample As the gray value summation of information, be conducive to the folding line area and folding line degree of each test sample of global analysis, to be point The folding line depth for analysing each test sample provides accurate and direct analysis foundation;
Wherein, 1≤p≤m, 1≤q≤n.
Further, it is the accuracy for improving to the folding line depth analysis of test sample, step S31 further includes:
Reach T obtaining flexion numberpWhen q-th of test cell in test sample image information after, feature based carries Take technology to judge in above-mentioned image information with the presence or absence of crackle, split slurry, broken face, if in above-mentioned image information there are crackle and/or Slurry and/or broken face are split, judgement flexion number reaches TpWhen q-th of test cell in test sample folding line depth be Dmax
Wherein, DmaxFor preset value and Dmax>>D0
The leather and fur products folding quality intelligent test method based on comparative analysis that present embodiment proposes, in terms of two The folding quality of leather and fur products is detected, with comprehensively whether qualification judges to the quality of production of leather and fur products, is carried Stringent monitoring of the height to its quality of production.The first aspect is:The detection that leather and fur products to be detected is put into different temperatures is empty It is interior to be subdued, to verify the folding resistance of leather at different temperatures;The second aspect is:To leather and fur products to be detected into The flexion of a variety of different flexion numbers of row, to judge whether leather and fur products is able to take the numerous flexions of number;Pass through above-mentioned two Kind test method obtains virtual condition of the leather and fur products to be detected under low temperature, high temperature, low flexion number, high flexion number, and The superiority-inferiority of leather quality to be detected is analyzed by above-mentioned different conditions, improves the monitoring to leather quality safety.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.

Claims (7)

1. a kind of leather and fur products folding quality intelligent test method based on comparative analysis, which is characterized in that include the following steps:
S1, the leather and fur products to be detected of same type is divided into n test sample;
S2, n test sample is delivered to respectively in the mutually different n test cell of temperature and is subdued;
S3, respectively flexion number reach T1、T2、T3……TmWhen acquisition n test sample image information and analysis, and output Analysis result.
2. the leather and fur products folding quality intelligent test method according to claim 1 based on comparative analysis, feature exist In, in step S2, the humidity all same in the n test cell.
3. the leather and fur products folding quality intelligent test method according to claim 1 based on comparative analysis, feature exist In in step S2, the temperature in the n test cell increases successively.
4. the leather and fur products folding quality intelligent test method according to claim 1 based on comparative analysis, feature exist In in step S2, n test sample being delivered to respectively when being subdued in the mutually different n test cell of temperature, n The flexion mode and flexion dynamics all same of test cell.
5. the leather and fur products folding quality intelligent test method according to claim 1 based on comparative analysis, feature exist In step S3 is specifically included:
S31, respectively flexion number reach T1、T2、T3……TmWhen acquire the image information of n test sample, and according to above-mentioned N test sample of image information acquisition subdues the folding line depth under number at m, is denoted as
S32, acquisition flexion number reach TiWhen j-th of test cell in test sample folding line depth Dij, and by DijWith it is default Folding line depth D0It is compared, works as Dij<D0When, by DijIt is included in information aggregate;
The number N of S33, statistical information set interior element, and by N and preset value N0It is compared:
Work as N<aN0When, export leather and fur products to be detected result off quality;
Work as aN0≤N≤bN0When, export the superior in quality result of leather and fur products to be detected;
Work as N>bN0When, export the quality equal result of leather and fur products to be detected;
Wherein, 1≤i≤m, 1≤j≤n, a, b are preset value, and 0<a<1, b>1.
6. the leather and fur products folding quality intelligent test method according to claim 5 based on comparative analysis, feature exist In step S31 is specifically included:
It obtains flexion number and reaches TpWhen q-th of test cell in test sample image information, and to above-mentioned image information carry out Gray proces obtain gray level image;
Above-mentioned gray level image is divided into x region, and obtains the gray value in x region respectively and calculates the ash in x region Angle value summation, and using above-mentioned gray value summation as folding line depth, it is denoted as Dpq
Wherein, 1≤p≤m, 1≤q≤n.
7. the leather and fur products folding quality intelligent test method according to claim 1 based on comparative analysis, feature exist In step S31 further includes:
Reach T obtaining flexion numberpWhen q-th of test cell in test sample image information after, feature based extractive technique Judge in above-mentioned image information with the presence or absence of crackle, split slurry, broken face, if in above-mentioned image information there are crackle and/or split slurry and/ Or broken face, judgement flexion number reach TpWhen q-th of test cell in test sample folding line depth be Dmax
Wherein, DmaxFor preset value and Dmax>>D0
CN201711495440.9A 2017-12-31 2017-12-31 A kind of leather and fur products folding quality intelligent test method based on comparative analysis Pending CN108318355A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114778339A (en) * 2022-04-11 2022-07-22 江苏鼎盛检测中心有限公司 Big data-based high-low temperature endurance test analysis method capable of reducing errors

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101063659A (en) * 2006-04-26 2007-10-31 陈岳林 System for detecting paper flaw of paper sheet
CN102236897A (en) * 2011-05-09 2011-11-09 哈尔滨工业大学 Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function
CN102735689A (en) * 2012-06-20 2012-10-17 太仓博天网络科技有限公司 Paper defect detection system based on image pattern recognition
CN104331978A (en) * 2014-11-19 2015-02-04 广州广电运通金融电子股份有限公司 Recognition device and method for fold of paper currency

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101063659A (en) * 2006-04-26 2007-10-31 陈岳林 System for detecting paper flaw of paper sheet
CN102236897A (en) * 2011-05-09 2011-11-09 哈尔滨工业大学 Method for detecting old and new as well as deformity of paper currency by sorting machine based on paper currency degeneration energy function
CN102735689A (en) * 2012-06-20 2012-10-17 太仓博天网络科技有限公司 Paper defect detection system based on image pattern recognition
CN104331978A (en) * 2014-11-19 2015-02-04 广州广电运通金融电子股份有限公司 Recognition device and method for fold of paper currency

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
岳洪伟: "羽毛杆微小折痕检测技术研究", 《万方学位论文》 *
辛登科: "图像检测技术在皮革缺陷检测排样系统的应用研究", 《皮革科学与工程》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114778339A (en) * 2022-04-11 2022-07-22 江苏鼎盛检测中心有限公司 Big data-based high-low temperature endurance test analysis method capable of reducing errors
CN114778339B (en) * 2022-04-11 2022-11-25 江苏鼎盛检测中心有限公司 High-low temperature endurance test analysis method capable of reducing errors based on big data

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