CN107478534A - Stiffness test device - Google Patents
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- CN107478534A CN107478534A CN201710658694.1A CN201710658694A CN107478534A CN 107478534 A CN107478534 A CN 107478534A CN 201710658694 A CN201710658694 A CN 201710658694A CN 107478534 A CN107478534 A CN 107478534A
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- 238000004458 analytical method Methods 0.000 claims description 21
- 238000012549 training Methods 0.000 claims description 10
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- 239000004744 fabric Substances 0.000 claims description 7
- 238000003706 image smoothing Methods 0.000 claims description 4
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- 238000003709 image segmentation Methods 0.000 claims description 2
- 238000011897 real-time detection Methods 0.000 abstract 1
- 238000013461 design Methods 0.000 description 6
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
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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
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/64—Analysis of geometric attributes of convexity or concavity
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T2207/20—Special algorithmic details
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- G—PHYSICS
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- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30124—Fabrics; Textile; Paper
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Abstract
The present invention relates to a kind of sleeping rug stiffness test device, including test sleeping rug, quota heavy burden equipment, depression identification equipment and sinking degree detection device, the quota heavy burden equipment is placed on the test sleeping rug, for pushing down the test sleeping rug, the depression identification equipment is used for the sunk area for identifying that the quota heavy burden equipment is formed around the test sleeping rug, the sinking degree detection device is connected with the depression identification equipment, for determining the sinking degree of the test sleeping rug based on the sunk area.By means of the invention it is possible to it is automatically performed the real-time detection of sleeping rug stiffness.
Description
Technical field
The present invention relates to sleeping rug field, more particularly to a kind of sleeping rug stiffness test device.
Background technology
The heat build-up blanket that in December, 2014 emerges, new mode is brought to winter warming.From the point of view of from the appearance, heat build-up blanket
Only only more than common sleeping rug several buttons, but be exactly these simple buttons, substantially improve the use of blanket
Method, common blanket can only regard blanket to use, and heat build-up blanket integrates 40 kinds and wears method, becomes qualified
Wearable heat build-up blanket.
Heat build-up blanket be by way of preventing thermal radiation of body reach heat build-up insulation effect.Heat build-up blanket shares five layers
Fabric, wherein easily can textile fabric in the second layer and the 4th layer of use.When heat caused by human body is outwards lost in a manner of radiating
When, first layer easily can textile fabric can stop more than the 50% of this partial heat, the second layer easily can textile fabric can stop loss heat
50%, such Double layer locking temperature can effectively prevent the heat losses of body surface more than 75%.
As described above, the current developing direction of sleeping rug is still in the research and development to the thermal property of sleeping rug, and for sleeping rug
Otherwise quality testing is considerably less, and the overall performance for the sleeping rug that causes to dispatch from the factory is not high, for example, sleeping rug stiffness is the one of sleeping rug
Individual important quality key element, and do not have the detection technique scheme of effective sleeping rug stiffness in the prior art.
The content of the invention
In order to solve the above problems, the invention provides a kind of sleeping rug stiffness test device, is born a heavy burden using the quota
Equipment is placed on the test sleeping rug, described for identifying using depression identification equipment for pushing down the test sleeping rug
The sunk area that quota heavy burden equipment is formed around the test sleeping rug, uses sinking degree detection device with based on described recessed
Sunken region determines the sinking degree of the test sleeping rug, wherein it is particularly critical, use various pins in the identification equipment that is recessed
To the special image data processing equipment of sleeping rug, the accuracy of depression identification ensure that.
According to an aspect of the present invention, there is provided a kind of sleeping rug stiffness test device, described device include test sleeping rug,
Quota heavy burden equipment, depression identification equipment and sinking degree detection device, the quota heavy burden equipment are placed on the test
On sleeping rug, for pushing down the test sleeping rug, the depression identification equipment is used to identify the quota heavy burden equipment in the survey
The sunk area that is formed around examination sleeping rug, the sinking degree detection device are connected with the identification equipment that is recessed, for based on
The sunk area determines the sinking degree of the test sleeping rug.
More specifically, in the sleeping rug stiffness test device, in addition to：TF storage devices, for prestoring
State the actual rated weight of quota heavy burden equipment；Stiffness measuring apparatus, respectively with the sinking degree detection device and described
TF storage devices connect, and the reality for receiving the sinking degree for testing sleeping rug and the quota heavy burden equipment is specified heavy
Amount, and the actual rated weight of the sinking degree based on the test sleeping rug and the quota heavy burden equipment calculates the test and slept
The stiffness of blanket.
More specifically, in the sleeping rug stiffness test device, in addition to：Live display device, with the stiffness
Measuring apparatus connects, and tests the stiffness of sleeping rug described in simultaneously real-time display for receiving.
More specifically, in the sleeping rug stiffness test device, in addition to：Double-deck filter apparatus, including contour detecting
Sub- equipment, the sub- equipment of pattern analysis, the sub- equipment of the first filtering and the second sub- equipment of filtering；The contour detecting equipment, for connecing
Black level processing image is received, and judges the objective contour in the black level processing image；The pattern analysis equipment with it is described
Contour detecting equipment connects, and for receiving the objective contour in the black level processing image, and is handled based on the black level
Objective contour in image determines medium filtering template and filtering wavelet basis；The sub- equipment of first filtering and the pattern analysis
Equipment connects, for each contour pixel to forming the objective contour, based in pattern analysis equipment determination
Value filtering template determines different filtering strategies according to the pixel distribution in the medium filtering window centered on it, described to be based on
The medium filtering template that the pattern analysis equipment determines is true according to the pixel distribution in the medium filtering window centered on it
Fixed different filtering strategies include：When the object pixel quantity in medium filtering window is more than or equal to non-in medium filtering window
During object pixel quantity, pixel value of the average as the contour pixel of the pixel value of each object pixel is taken, when intermediate value is filtered
When object pixel quantity in ripple window is less than the non-targeted pixel quantity in medium filtering window, each non-targeted pixel is taken
Pixel value of the average of pixel value as the contour pixel, the sub- equipment of first filtering are additionally operable to black level processing
Each non-contour pixel of the objective contour is not belonging in image, based on the medium filtering template according to centered on it
Medium filtering window in all pixels pixel value pixel value of the average as the non-contour pixel, and described
The one sub- equipment of filtering is additionally operable to export the first filtering image.
More specifically, in the sleeping rug stiffness test device, in addition to：Spherical camera, for the test
Sleeping rug position carries out image data acquiring, to obtain on-site target image；Target simplifies equipment, for receiving on-site target
Image, on-site target image is divided into multiple fringe regions, a boundary curve is included in each fringe region, edge is bent
Line is made up of the black level pixel that multiple pixel values are 0, for each black level pixel in on-site target image, determines it
The fringe region at place, it is measured to the distance of boundary curve core-wire using as boundary curve distance, by boundary curve distance
Black level pixel more than or equal to pre-programmed curve distance replaces with white level pixel, by boundary curve distance be less than pre-programmed curve away from
From black level pixel be left black level pixel, wherein, boundary curve core-wire is corresponding edge curve upper curve radial direction side
The curve that upward each central point is formed, the on-site target image after each black level pixel is processed is additionally operable to as black
Level processing image output；Wherein, the TF storage devices also simplify equipment with target and are connected, for prestoring pre-programmed curve
Distance.
More specifically, in the sleeping rug stiffness test device, in addition to：
Strengthen equipment step by step, including target just knows unit, contrast processing unit, histogram equalization unit and image smoothing
Unit, the target just know unit and are used to receive the second filtering image, and described the is determined based on goal-selling gray threshold scope
Whether each pixel in two filtering images belongs to object pixel, by all object pixel groups in second filtering image
Into preliminary aim region, the contrast processing unit is just known unit with the target and is connected, for improving second filtering
In image the gray value grade of all pixels in preliminary region with obtain contrast improve image, the histogram equalization unit with
The contrast processing unit connection, image is improved for receiving the contrast, strengthens the contrast and improves in image
Highlights region, while the dark portion region in the contrast raising image is reduced, to obtain targets improvement image, described image is put down
Sliding unit is connected with the histogram equalization unit, and for receiving the targets improvement image, the targets improvement image is entered
Row picture smooth treatment strengthens image step by step to obtain；
Parameter training equipment, for being trained to the parameters of neutral net, export the parameter after each training；Figure
As splitting equipment, for carrying out target identification to strengthening image step by step to be partitioned into target subgraph from pending image；
Wherein, the depression identification equipment uses each training using the characteristics of image of the target subgraph as input
Parameter afterwards, target type corresponding with the target subgraph is exported, when the target type is sunk area, output is deposited
In sunk area signal, and using the target subgraph as sunk area image export, when the target type be human body it
During outer other types, non-sunk area signal is exported；The sub- equipment of second filtering respectively with the sub- equipment of the pattern analysis
Connect with the described first sub- equipment of filtering, for receiving first filtering image, determined based on the pattern analysis equipment
Filtering wavelet basis performs corresponding wavelet filtering processing to first filtering image to export the second filtering image.
More specifically, in the sleeping rug stiffness test device：The target just knows unit, contrast processing list
First, described histogram equalization unit and described image smooth unit are integrated on same surface-mounted integrated circuit.
More specifically, in the sleeping rug stiffness test device：The stiffness measuring apparatus, sinking degree inspection
Measurement equipment and the TF storage devices are all arranged on the cross bar near the test sleeping rug.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the block diagram of the sleeping rug stiffness test device according to embodiment of the present invention.
Reference：1 test sleeping rug；2 quota heavy burden equipment；3 depression identification equipments；4 sinking degree detection devices
Embodiment
The embodiment of the sleeping rug stiffness test device of the present invention is described in detail below with reference to accompanying drawings.
Heat build-up blanket is the main direction of development of current sleeping rug.Heat build-up blanket is not by hindering air flow warming to reach heat build-up
Effect, on the contrary, heat build-up blanket has good permeability, its which kind of wear method and all people can be allowed to feel comfortably cool, be dry and comfortable.
Meanwhile heat build-up blanket is safety and environmental protection, he use it is easy can textile fabric use on down jackets, 90% duck's down can be saved,
At all do not influence warming effect, the company Yi Kefang of design heat build-up blanket be exactly by using easily can woven material development it is cool in summer and warm in winter
Curtain occupies certain curtain market, can easily spin curtain in summer indoor temperature than outdoor low 6 DEG C, reduce air-conditioning and electric power
Use.
But except studying warming aspect, to other matter quantifier eliminations of sleeping rug, sleeping rug business men is not relevant for, especially
In terms of to sleeping rug stiffness test, sleeping rug business men just lacks corresponding embodiment for it.In order to overcome above-mentioned deficiency, the present invention
A kind of sleeping rug stiffness test device is built, specific embodiment is as follows.
Fig. 1 is the block diagram of sleeping rug stiffness test device according to embodiment of the present invention, described device
Including test sleeping rug, quota heavy burden equipment, depression identification equipment and sinking degree detection device.
Wherein, the quota heavy burden equipment is placed on the test sleeping rug, described for pushing down the test sleeping rug
Depression identification equipment is used for the sunk area for identifying that the quota heavy burden equipment is formed around the test sleeping rug, the depression
Degree detecting equipment is connected with the depression identification equipment, for determining the depression of the test sleeping rug based on the sunk area
Degree.
Then, continue that the concrete structure of the sleeping rug stiffness test device of the present invention is further detailed.
The test device can also include：
TF storage devices, for prestoring the actual rated weight of the quota heavy burden equipment；
Stiffness measuring apparatus, it is connected respectively with the sinking degree detection device and the TF storage devices, for connecing
The sinking degree of the test sleeping rug and the actual rated weight of the quota heavy burden equipment are received, and is based on the test sleeping rug
Sinking degree and the quota heavy burden equipment actual rated weight calculate it is described test sleeping rug stiffness.
The test device can also include：
Live display device, it is connected with the stiffness measuring apparatus, sleeping rug is tested described in simultaneously real-time display for receiving
Stiffness.
The test device can also include：
Double-deck filter apparatus, including the sub- equipment of contour detecting, the sub- equipment of pattern analysis, the sub- equipment of the first filtering and the second filter
Marble equipment；The contour detecting equipment, for receiving black level processing image, and judge in the black level processing image
Objective contour；The pattern analysis equipment is connected with the contour detecting equipment, for receiving in the black level processing image
Objective contour, and based on the black level handle image in objective contour determine medium filtering template and filtering wavelet basis；
The sub- equipment of first filtering is connected with the pattern analysis equipment, for each wire-frame image to forming the objective contour
Element, the medium filtering template based on pattern analysis equipment determination is according to the pixel in the medium filtering window centered on it
Distribution determines different filtering strategies, it is described based on the medium filtering template that the pattern analysis equipment determines according to using it in
Pixel distribution in the medium filtering window of the heart determines that different filtering strategies include：Object pixel in medium filtering window
When quantity is more than or equal to the non-targeted pixel quantity in medium filtering window, the average conduct of the pixel value of each object pixel is taken
The pixel value of the contour pixel, when the object pixel quantity in medium filtering window is less than non-targeted in medium filtering window
During pixel quantity, pixel value of the average as the contour pixel of the pixel value of each non-targeted pixel, first filter are taken
Marble equipment is additionally operable to handle the black level each the non-contour pixel for being not belonging to the objective contour in image, is based on
The medium filtering template is used as institute according to using the average of the pixel value of all pixels in the medium filtering window centered on it
The pixel value of non-contour pixel is stated, and the sub- equipment of first filtering is additionally operable to export the first filtering image.
The test device can also include：
Spherical camera, for carrying out image data acquiring to the test sleeping rug position, to obtain on-site target
Image；
Target simplifies equipment, for receiving on-site target image, on-site target image is divided into multiple fringe regions, often
Include a boundary curve in one fringe region, boundary curve is made up of the black level pixel that multiple pixel values are 0, for existing
Each black level pixel in the target image of field, determines the fringe region where it, measures it to boundary curve core-wire
Distance using as boundary curve distance, by boundary curve distance be more than or equal to pre-programmed curve distance black level pixel replace with it is white
Level pixel, the black level pixel that boundary curve distance is less than to pre-programmed curve distance are left black level pixel, wherein, edge
For curve core-wire by the corresponding edge curve upper curve curve that each central point forms in the radial direction, being additionally operable to will be each black
On-site target image after level pixel is processed is as black level processing image output；
Wherein, the TF storage devices also simplify equipment with target and are connected, for prestoring pre-programmed curve distance.
The test device can also include：
Strengthen equipment step by step, including target just knows unit, contrast processing unit, histogram equalization unit and image smoothing
Unit, the target just know unit and are used to receive the second filtering image, and described the is determined based on goal-selling gray threshold scope
Whether each pixel in two filtering images belongs to object pixel, by all object pixel groups in second filtering image
Into preliminary aim region, the contrast processing unit is just known unit with the target and is connected, for improving second filtering
In image the gray value grade of all pixels in preliminary region with obtain contrast improve image, the histogram equalization unit with
The contrast processing unit connection, image is improved for receiving the contrast, strengthens the contrast and improves in image
Highlights region, while the dark portion region in the contrast raising image is reduced, to obtain targets improvement image, described image is put down
Sliding unit is connected with the histogram equalization unit, and for receiving the targets improvement image, the targets improvement image is entered
Row picture smooth treatment strengthens image step by step to obtain；
Parameter training equipment, for being trained to the parameters of neutral net, export the parameter after each training；
Image segmentation apparatus, for carrying out target identification to strengthening image step by step to be partitioned into target from pending image
Subgraph；
Wherein, the depression identification equipment uses each training using the characteristics of image of the target subgraph as input
Parameter afterwards, target type corresponding with the target subgraph is exported, when the target type is sunk area, output is deposited
In sunk area signal, and using the target subgraph as sunk area image export, when the target type be human body it
During outer other types, non-sunk area signal is exported；
Wherein, equipment sub- with the pattern analysis and the sub- equipment of first filtering connect the sub- equipment of second filtering respectively
Connect, for receiving first filtering image, filtered based on the filtering wavelet basis that the pattern analysis equipment determines to described first
Ripple image performs corresponding wavelet filtering processing to export the second filtering image.
In the test device：
It is smooth that the target just knows unit, the contrast processing unit, the histogram equalization unit and described image
Unit is integrated on same surface-mounted integrated circuit.
In the test device：
The stiffness measuring apparatus, the sinking degree detection device and the TF storage devices are all arranged on described
Test on the cross bar near sleeping rug.
In addition, the target just knows unit, the contrast processing unit, the histogram equalization unit and described image
Smooth unit can be realized using the fpga chip of different model.
FPGA (Field-Programmable Gate Array), i.e. field programmable gate array, he be PAL,
The product further developed on the basis of the programming devices such as GAL, CPLD.He is as in application specific integrated circuit (ASIC) field
A kind of semi-custom circuit and occur, both solved the deficiency of custom circuit, overcome original programming device gate circuit again
The shortcomings that number is limited.
The circuit design completed with hardware description language (Verilog or VHDL), simple synthesis and cloth can be passed through
Office, is quickly burned onto on FPGA and is tested, and is the technology main flow of modern IC designs checking.These editable elements can be by
For realizing some basic logic gates (such as AND, OR, XOR, NOT) or more more complicated combination function such as
Decoder or mathematical equation.Inside most FPGA, also for example touched comprising memory cell in these editable elements
Send out device (Flip-flop) or other more complete block of memory.System designer can be as desired by editable company
Connect the logical block inside FPGA to connect, just look like that a breadboard has been placed in a chip.One dispatches from the factory
The logical block of finished product FPGA afterwards and connection can change according to designer, so FPGA can complete required logic work(
Energy.
Speed of the FPGA in general than ASIC (application specific integrated circuit) is slow, realizes same function than ASIC circuit face
Product is big.But they also have the advantages of many such as can quick finished product, can be modified to correct program in mistake and
Less expensive cost.Manufacturer may also can provide the FPGA of cheap still edit capability difference.Because these chips have poor
Editable ability, so these design exploitations be to be completed on common FPGA, design is then transferred to a class
It is similar on ASIC chip.Another method is with CPLD (Complex Programmable Logic Device, complexity
PLD).FPGA exploitation is very different relative to the exploitation of traditional PC, single-chip microcomputer.FPGA is with concurrent operation
Based on, realized with hardware description language；Compared to PC or single-chip microcomputer (either von Neumann structure or Harvard structure)
Order operation has very big difference.
Using the sleeping rug stiffness test device of the present invention, lack necessary quality detector for sleeping rug in the prior art
The technical problem of system, for the test of sleeping rug stiffness, build including quota heavy burden equipment, depression identification equipment and depression journey
The depression recognition mechanism of detection device is spent, sleeping rug stiffness is judged with the sinking degree recognized, wherein, know to improve depression
Other precision, introduce and simplify equipment including double-deck filter apparatus, target, strengthen equipment, parameter training equipment and image step by step
A variety of image-data processing apparatus of splitting equipment, and specific design includes target and just knows unit, contrast processing unit, straight
The enhancing equipment step by step of square figure balanced unit and image smoothing unit.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of sleeping rug stiffness test device, including test sleeping rug, quota heavy burden equipment, depression identification equipment and sinking degree
Detection device, the quota heavy burden equipment is placed on the test sleeping rug, for pushing down the test sleeping rug, the depression
Identification equipment is used for the sunk area for identifying that the quota heavy burden equipment is formed around the test sleeping rug, the sinking degree
Detection device is connected with the depression identification equipment, for determining the depression journey of the test sleeping rug based on the sunk area
Degree.
2. sleeping rug stiffness test device as claimed in claim 1, it is characterised in that also include：
TF storage devices, for prestoring the actual rated weight of the quota heavy burden equipment；
Stiffness measuring apparatus, it is connected respectively with the sinking degree detection device and the TF storage devices, for receiving
The sinking degree of test sleeping rug and the actual rated weight of the quota heavy burden equipment are stated, and based on the recessed of the test sleeping rug
The actual rated weight of the degree of falling into and the quota heavy burden equipment calculates the stiffness of the test sleeping rug.
3. sleeping rug stiffness test device as claimed in claim 2, it is characterised in that also include：
Live display device, it is connected with the stiffness measuring apparatus, the hard of sleeping rug is tested described in simultaneously real-time display for receiving
Deflection.
4. sleeping rug stiffness test device as claimed in claim 3, it is characterised in that also include：
Double-deck filter apparatus, including the sub- equipment of contour detecting, the sub- equipment of pattern analysis, the sub- equipment of the first filtering and the second filtering
Equipment；The contour detecting equipment, for receiving black level processing image, and judge the target in the black level processing image
Profile；The pattern analysis equipment is connected with the contour detecting equipment, for receiving the mesh in the black level processing image
Profile is marked, and medium filtering template and filtering wavelet basis are determined based on the objective contour that the black level is handled in image；It is described
The first sub- equipment of filtering is connected with the pattern analysis equipment, for each contour pixel to the composition objective contour,
Based on the medium filtering template that the pattern analysis equipment determines according to the pixel in the medium filtering window centered on it point
Cloth determines different filtering strategies, and the medium filtering template determined based on the pattern analysis equipment is according to centered on it
Medium filtering window in pixel distribution determine that different filtering strategies include：When the target picture prime number in medium filtering window
When amount is more than or equal to the non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as institute
The pixel value of contour pixel is stated, when the object pixel quantity in medium filtering window is less than the non-targeted picture in medium filtering window
During prime number amount, pixel value of the average as the contour pixel of the pixel value of each non-targeted pixel, first filtering are taken
Sub- equipment is additionally operable to handle the black level each the non-contour pixel for being not belonging to the objective contour in image, based on institute
State medium filtering template according to using the average of the pixel value of all pixels in the medium filtering window centered on it described in
The pixel value of non-contour pixel, and the sub- equipment of first filtering are additionally operable to export the first filtering image.
5. sleeping rug stiffness test device as claimed in claim 4, it is characterised in that also include：
Spherical camera, for carrying out image data acquiring to the test sleeping rug position, to obtain on-site target image；
Target simplifies equipment, and for receiving on-site target image, on-site target image is divided into multiple fringe regions, each
Include a boundary curve in fringe region, boundary curve is made up of the black level pixel that multiple pixel values are 0, for live mesh
Each black level pixel in logo image, determines the fringe region where it, measures it and arrives the distance of boundary curve core-wire
So that as boundary curve distance, the black level pixel that boundary curve distance is more than or equal to pre-programmed curve distance replaces with white level
Pixel, the black level pixel that boundary curve distance is less than to pre-programmed curve distance are left black level pixel, wherein, boundary curve
Core-wire is additionally operable to each black level by the corresponding edge curve upper curve curve that each central point forms in the radial direction
On-site target image after pixel is processed is as black level processing image output；
Wherein, the TF storage devices also simplify equipment with target and are connected, for prestoring pre-programmed curve distance.
6. sleeping rug stiffness test device as claimed in claim 5, it is characterised in that also include：
Strengthen equipment step by step, including target just knows unit, contrast processing unit, histogram equalization unit and image smoothing list
Member, the target just know unit and are used to receive the second filtering image, and described second is determined based on goal-selling gray threshold scope
Whether each pixel in filtering image belongs to object pixel, and all object pixels in second filtering image are formed
Preliminary aim region, the contrast processing unit is just known unit with the target and is connected, for improving the second filtering figure
The gray value grade of all pixels in preliminary region improves image, the histogram equalization unit and institute to obtain contrast as in
The connection of contrast processing unit is stated, image is improved for receiving the contrast, is strengthened bright in the contrast raising image
Portion region, while the dark portion region in the contrast raising image is reduced, to obtain targets improvement image, described image is smooth
Unit is connected with the histogram equalization unit, and for receiving the targets improvement image, the targets improvement image is carried out
Picture smooth treatment strengthens image step by step to obtain；
Parameter training equipment, for being trained to the parameters of neutral net, export the parameter after each training；
Image segmentation apparatus, for carrying out target identification to strengthening image step by step to be partitioned into target subgraph from pending image
Picture；
Wherein, the depression identification equipment is using the characteristics of image of the target subgraph as input, after each training
Parameter, target type corresponding with the target subgraph is exported, when the target type is sunk area, output exists recessed
Regional signal is fallen into, and is exported the target subgraph as sunk area image, when the target type is outside human body
During other types, non-sunk area signal is exported；
Wherein, equipment sub- with the pattern analysis and the sub- equipment of first filtering are connected the sub- equipment of second filtering respectively,
For receiving first filtering image, the described first filtering is schemed based on the filtering wavelet basis that the pattern analysis equipment determines
Handled as performing corresponding wavelet filtering to export the second filtering image.
7. sleeping rug stiffness test device as claimed in claim 6, it is characterised in that：
The target just knows unit, the contrast processing unit, the histogram equalization unit and described image smooth unit
It is integrated on same surface-mounted integrated circuit.
8. sleeping rug stiffness test device as claimed in claim 7, it is characterised in that：
The stiffness measuring apparatus, the sinking degree detection device and the TF storage devices are all arranged on the test
On cross bar near sleeping rug.
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| CN201710658694.1A CN107478534A (en) | 2017-08-04 | 2017-08-04 | Stiffness test device |
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| CN201710658694.1A CN107478534A (en) | 2017-08-04 | 2017-08-04 | Stiffness test device |
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