CN107655404A - A kind of measuring method of sinking degree - Google Patents
A kind of measuring method of sinking degree Download PDFInfo
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- CN107655404A CN107655404A CN201710654241.1A CN201710654241A CN107655404A CN 107655404 A CN107655404 A CN 107655404A CN 201710654241 A CN201710654241 A CN 201710654241A CN 107655404 A CN107655404 A CN 107655404A
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Classifications
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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
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Abstract
The present invention relates to a kind of measuring method of sinking degree, this method includes：There is provided and use sleeping bag sinking degree measuring system, the measuring system includes voice playing equipment, sleeping bag body frame structure, depression identification equipment and sinking degree measuring apparatus, the depression identification equipment is used for the sunk area for identifying the sleeping bag body frame structure, the sinking degree measuring apparatus is connected with the depression identification equipment, for determining the sinking degree of the sleeping bag body frame structure based on the sunk area；Wherein, the voice playing equipment is connected with the sinking degree measuring apparatus, for receiving and playing the sinking degree of the sleeping bag body frame structure.By means of the invention it is possible to improve the intelligent level of sleeping bag quality testing.
Description
Technical field
The present invention relates to sleeping bag field, more particularly to a kind of measuring method of sinking degree.
Background technology
The effect of sleeping bag be intended merely to keep heat try one's best it is few scatter and disappear, and the human body in sleeping bag then constantly produces heat and protected
Hold warm, different individual caused heat with the case of to be not quite similar, all sleeping bag temperature scale systems are all based on a mark
Accurate human body, but the human body of such a standard is substantially what is be not present.Human body about 75- under one sleep state
100 watts of heat energy power, general 47-55 watts every square metre is converted into according to body surface area.The energy as caused by metabolism
Measure extremely complex, and age, the fat mass under sex even body is relevant, but generally, a healthy and strong young men produces
Body heat always far more than old man and women.Relevant with age and experience to the sensation of cold, new hand typically can
Feel colder than experienced climber.The people often to work out of doors is in cold environments than often in office work
People feels warmer.
In general, after more than 25 years old, fat people is fewer than lath to the sensation of cold.Fat people always says their metabolism
Slowly, more accurate saying is, fat people eat food is more than what they consumed；Lath has the metabolism for comparing balance, meaning
They eat food is substantially all and can consumed.Fat in human body can add metabolism when deprivation of food and produce
Energy.Climb the mountain and wait outdoor activities usually to allow the energy of human consumption far more than energy caused by the food eaten, polar region on foot
And high mountain exploring just needs more heats.The fat combustion that fat people can store their bodies changes into energy,
And fat people has thicker natural thermal insulation layer than lath, thus fat people compared with lath more resistant to freeze.Other women is typically than man
Property is easier to feel cold, and on the comfortable temperature scale of sleeping bag, women is often higher than male general 5 DEG C.Because metabolism and
There is relation at age, and therefore old man's energy less than caused by young man is easier to feel cold, the healthy male of 16-24 year
Animated period in metabolism, heat energy caused by body is far above lost heat energy, so on the comfortable temperature scale in sleeping bag
People than age is low general 5 DEG C.For children, ripe metabolic system is formed due to no, so for theirs
The definition of sleeping bag temperature scale will become highly difficult.Most of research done to sleeping bag all concentrates on soldier, outdoor training in history
With teacher, high mountain guide and alpinists, these people have an abundant open air life experience, and the age 18-40 year it
Between.But actually most outdoor activities person is lived in city usually, is worked, is opened in the office for have central air-conditioning
Automobile to sashay, these life patterns reduce adaptability of the ordinary people to cold environment.If the people for occupying city long is prominent
So come into wild environment, the mountain-climbing of arduous even High aititude on foot will soon exhaust their strength, beaten
Heat caused by body can also be reduced, and will make one to be easier to feel cold.
In order to establish the temperature grade of sleeping bag, the sleeping bag prototype before commodity production will do outdoor test, and tester is past
Toward being the people often to live out of doors, such as soldier, guide etc. of climbing the mountain, they need to test several weeks in external environment out of office,
Manufacturer is provided on sleeping bag comfort temperature and the opinion of limiting temperature.
For sleeping bag production firm, test sleeping bag needs temperature wind speed, humidity, wind speed, the condition such as wear the clothes, and
And be difficult to go to face various natural environment and climate situations as alpinist, in general test can only be based under ecotopia
Certain temperature and humidity, but the result tested and actual use situation are far from each other.In order that test result is more nearly very
Real use environment, each brand establish climatizer one after another, and the physics such as temperature, humidity, wind speed are controlled in artificial environment
Condition, and test sleeping bag under corresponding weather, it follows that the temperature scale coefficient of proper true service condition.With section
The progress of skill, computer and various detection means are constantly progressive and perfect, and infra-red thermal imaging system also begins to apply ability sleeping bag
In test, heat dispersal situations of the human body in sleeping bag can clearly be judged according to infrared thermal imaging, red area represents to give out
The corresponding blue region of heat ratio come is more, and sleeping bag design can also thoroughly do away with test result and be correspondingly improved.
Currently, the coherent detection mechanism of the Quality inspectional institution of effective sleeping bag, especially sleeping bag sinking degree is lacked, so
And in fact, influence of the sleeping bag sinking degree to the quality of sleeping bag is most important.
The content of the invention
In order to solve the above problems, the invention provides a kind of measuring method of sinking degree, using special differentiation
Filter apparatus, interference peak value detection device, self-adaption binaryzation processing equipment, initialization process equipment, first enhancing equipment and
Second enhancing equipment carries out targetedly image preprocessing to sleeping bag, is used to identify the sleeping bag body frame using depression identification equipment
The sunk area of structure, it is connected using sinking degree measuring apparatus with the depression identification equipment, and is based further on the depression
Region determines the sinking degree of the sleeping bag body frame structure.
According to an aspect of the present invention, there is provided a kind of measuring method of sinking degree, this method include：
1) a kind of sleeping bag sinking degree measuring system is provided, including voice playing equipment, sleeping bag body frame structure, the identification that is recessed are set
Standby and sinking degree measuring apparatus, the depression identification equipment is used for the sunk area for identifying the sleeping bag body frame structure, described recessed
Fall into degree measurement equipment to be connected with the depression identification equipment, for determining the sleeping bag body frame structure based on the sunk area
Sinking degree；
Wherein, the voice playing equipment is connected with the sinking degree measuring apparatus, for receiving and playing described sleep
The sinking degree of bag body frame structure；And
2) measured using the measuring system.
More specifically, in the sleeping bag sinking degree measuring system：The voice playing equipment includes Voice command core
Piece, voice memory unit and voice playing unit；Wherein, the voice memory unit stores various voice prompted files, institute
Predicate sound control chip is connected with the voice memory unit and the voice playing unit respectively, for controlling the voice to broadcast
Put unit and play voice prompted file corresponding with the sinking degree of the sleeping bag body frame structure in the voice memory unit.
More specifically, in the sleeping bag sinking degree measuring system：The voice playing equipment, the depression identification are set
Standby and described sinking degree measuring apparatus is all disposed within the instrument case above the sleeping bag body frame structure.
More specifically, in the sleeping bag sinking degree measuring system, in addition to：Noise analysis equipment, for receiving the
Two enhancing images, noise type analysis is carried out to the described second enhancing image to determine the noise width in the second enhancing image
It is worth maximum noise type to be exported as main noise type；Stencil-chosen equipment, it is connected, uses with the noise analysis equipment
In the reception main noise type, and medium filtering template is determined based on the main noise type；Contour detecting equipment, with
The noise analysis equipment connection, for judging the objective contour in the second enhancing image.
More specifically, in the sleeping bag sinking degree measuring system, in addition to：Differentiation filter apparatus, respectively with institute
Stencil-chosen equipment is stated to connect with the contour detecting equipment, for each contour pixel to forming the objective contour,
Different filtering plans is determined according to the pixel distribution in the medium filtering window centered on it based on the medium filtering template
Slightly, it is described determined based on the medium filtering template according to the pixel distribution in the medium filtering window centered on it is different
Filtering strategies include：When the non-targeted pixel that the object pixel quantity in medium filtering window is more than or equal in medium filtering window
During quantity, pixel value of the average as the contour pixel of the pixel value of each object pixel is taken, when in medium filtering window
Object pixel quantity be less than medium filtering window in non-targeted pixel quantity when, take the pixel value of each non-targeted pixel
Pixel value of the average as the contour pixel；The differentiation filter apparatus is additionally operable to being not belonging to institute in the high-definition image
Each non-contour pixel of objective contour is stated, based on the medium filtering template according to the medium filtering window centered on it
Pixel value of the average of the pixel value of interior all pixels as the non-contour pixel；The differentiation filter apparatus output difference
Alienation filtering image.
More specifically, in the sleeping bag sinking degree measuring system, in addition to：Peak value detection device is disturbed, it is and described
Static storage device connects, for receiving from image capture device and including the real-time high definition image of the sleeping bag body frame structure,
The grey level histogram of the real-time high definition image is determined, obtains multiple peaks on the ordinate direction in the grey level histogram
Value, the peak value that amplitude in multiple peak values is less than or equal to preset noise amplitudes threshold value is all as interference peak value, from multiple peak values
Go unless each Interference Peaks value one or more refer to peak value to obtain；Self-adaption binaryzation processing equipment, with the interference peak value
Detection device connects, for average processing with reference to peak value to obtain equalization peak value to one or more, by described in
In grey level histogram, the tonal gradation conduct on the abscissa corresponding to value close to the equalization peak value on ordinate direction
Binary-state threshold, the pixel value of each pixel being directed in real-time high definition image is additionally operable to, pixel value is more than or equal to described
Binary-state threshold, using its pixel value as 255, pixel value is less than the binary-state threshold, using its pixel value as 0,
To obtain adaptive bianry image；Initialization process equipment, for receiving adaptive bianry image, based on goal-selling upper limit ash
Degree threshold value and goal-selling lower limit gray threshold determine whether each pixel in the adaptive bianry image belongs to target
Pixel, all object pixels in the adaptive bianry image are formed into preliminary aim region；First enhancing equipment, it is and described
Initialization process equipment connects, for improving the gray value grade of all pixels in preliminary region in the adaptive bianry image
To obtain the first enhancing image；Second enhancing equipment, it is connected with the described first enhancing equipment, for receiving the first enhancing figure
Picture, enhancing described first strengthen the highlights region in image, while reduce the dark portion region in the first enhancing image, to obtain
Obtain the second enhancing image；Wherein, the depression identification equipment is used to receive differentiation filtering image, and based on default sunk area
Upper limit gray threshold and default sunk area lower limit gray threshold are identified from the differentiation filtering image and are partitioned into described
The sunk area of sleeping bag body frame structure.
More specifically, in the sleeping bag sinking degree measuring system：
Noise type in the second enhancing image includes internal noise caused by sensitive components.
More specifically, in the sleeping bag sinking degree measuring system：Noise type bag in the second enhancing image
Include the interference noise of transmission channel.
More specifically, in the sleeping bag sinking degree measuring system：Noise type bag in the second enhancing image
Include grain noise caused by jittering noise and photosensitive material that electrical machinery motion is brought.
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 bag sinking degree measuring system according to embodiment of the present invention.
Fig. 2 is the structure of the voice playing equipment of the sleeping bag sinking degree measuring system according to embodiment of the present invention
Block diagram.
Reference：1 voice playing equipment；2 sleeping bag body frame structures；3 depression identification equipments；4 sinking degree measuring apparatus；11
Voice command chip；12 voice memory units；13 voice playing units
Embodiment
The embodiment of the sleeping bag sinking degree measuring system of the present invention is described in detail below with reference to accompanying drawings.
Sleeping bag filler mainly has two kinds, eider down and chemical fibre cotton, in addition with the fleece sleeping bag of individual layer.
Eider down：It is divided into duck's down and goose down again, a little higher than duck's down of warming degree of goose down under equal conditions.Eider down mainly has 3
Individual performance indications：1st index is filling weight, for example 400 grams of goose down sleeping bags, 1100 grams of duck down-filled sleeping bags, this weight are not
Sleeping bag weight is said, and refers to the nt wt net weight for filling eider down；2nd index is down content, and eider down is made up of accessory pinna and suede, plumage
Piece has supporting role, warming essentially from fine fleece.Down content is expressed as a percentage, as 80 suedes represent 100 unit of weight medium staples
Content is 80 units.The typically high down content of duck's down is 85 to 90, and the down content of goose down is up to 90 to 95；3rd index is suede
Dilation, dilation (Fill power) refer to one ounce of eider down how many cubic inch under 68.4 grams of pressure, eider down it is swollen
Expansibility is higher, and the thermal property of suede is better.The dilation of general domestic duck's down is 450 or so, and the dilation of domestic goose down is from 450
To 600.The Andean mountain region goose down down content of imported from America is up to 95 or so, and dilation is up to 700 to 800.
Chemical fibre cotton：Species it is a lot, quality is irregular.Common gum sprayed cotton, to four hole cottons, seven-hole cotton fiber (porous cotton market seven
Hole nine hole cotton fiber concept：Country does not have standard to more hollow pillows, does not have specific requirement to the content of porous fibre, on so-called yet
" hole " quantity, even more have no way of investigating,《Pillow is remembered》The introduction of Chinese fiber industry authority Yizheng Fiber Optical plant is quoted, advanced technology
Yizheng Fiber Optical plant factory only produces the doughnut in a hole, in the absence of seven apertures in the human head or nine hole fibers, above market most seven apertures in the human heads or
The hole fiber of person nine is hollow cotton), 3M Thinsulate cottons, POLARGUARD 3D/HV cottons etc..Polarguard 3d and
Difference between polarguard HV is that the former compressibility is more preferable, and the latter is warming more preferable, and 3D typically accomplishes -5~-15 DEG C,
HV can accomplish -15~-25 DEG C.Various chemical fibre filler sleeping bags are the same, can be slowly with the increase thermal property of usage time
Decreasing up to make, but they have the unexistent advantage of down-filled sleeping bag, can also be remaining a part of warming after exactly drenching
Performance, unlike eider down once wet it is completely not warming in addition rise negative interaction.Packed density represents again with every meter of FT-207, such as
260 grams m sides, 320 grams m sides.Two kinds of fillers of eider down and chemical fibre cotton are contrasted, down thermal degree is higher, equal warming
Weight can be realized gently under degree；Chemical fibre cotton warming degree is the bottom of with respect to, and packaging volume is big, and compressibility is poor；Eider down is expensive, chemical fibre cotton
Cheaply；Eider down humidity can lose most warming ability, and be not easy to do, so often using having under harsh mountain-climbing environment
The material of waterproof and breathable performance does the outer material of down-filled sleeping bag, and chemical fibre cotton has certain water repellency, necessarily warming is kept after wet
Performance, and it is fast to dry speed；The service life of down products is very long, and good maintenance can be used more than 10 years, and chemical fibre cotton sleeping bag
Only 3,4 years life-span.
Fleece：Sleeping bag is formed using fleece (fleece) sewing, can be separately as summer sleeping bag or sanitary sleeping bag.Also may be used
To coordinate other sleeping bags to use in the winter time, to strengthen warming effect.According to time experience, the sleeping bag of one -3 degree, fleece is added to sleep
Reachable -10 DEG C or so of warming effect after bag.
However, in terms of the research and development of sleeping bag of the prior art are concentrated mainly on the thermal property of sleeping bag, lack to sleeping bag matter
The monitoring mechanism of amount, so, easily cause the product of inferior quality to enter market, the adverse effect in sleep is brought to user.In order to
Overcome above-mentioned deficiency, the present invention has built a kind of measuring method of sinking degree, and this method includes：1) a kind of sleeping bag depression is provided
Degree measurement system；And 2) measured using the measuring system.
Fig. 1 is the block diagram of sleeping bag sinking degree measuring system according to embodiment of the present invention, the dress
Put including voice playing equipment, sleeping bag body frame structure, depression identification equipment and sinking degree measuring apparatus.
Wherein, the depression identification equipment is used for the sunk area for identifying the sleeping bag body frame structure, and the sinking degree is surveyed
Amount equipment is connected with the depression identification equipment, for determining the depression journey of the sleeping bag body frame structure based on the sunk area
Degree.
Wherein, the voice playing equipment is connected with the sinking degree measuring apparatus, for receiving and playing described sleep
The sinking degree of bag body frame structure.
Then, continue that the concrete structure of the sleeping bag sinking degree measuring system of the present invention is further detailed.
In the sleeping bag sinking degree measuring system：
As shown in Fig. 2 the voice playing equipment includes Voice command chip, voice memory unit and speech play list
Member；
Wherein, the voice memory unit stores various voice prompted files, the Voice command chip respectively with institute
State voice memory unit to connect with the voice playing unit, for controlling the voice playing unit to play the phonetic storage
Voice prompted file corresponding with the sinking degree of the sleeping bag body frame structure in unit.
In the sleeping bag sinking degree measuring system：
The voice playing equipment, the depression identification equipment and the sinking degree measuring apparatus are all disposed within described sleep
In instrument case above bag body frame structure.
The sleeping bag sinking degree measuring system can also include：
Noise analysis equipment, for receiving the second enhancing image, noise type analysis is carried out to the described second enhancing image
To determine the maximum noise type of the noise amplitude in the second enhancing image to be exported as main noise type；
Stencil-chosen equipment, it is connected with the noise analysis equipment, for receiving the main noise type, and is based on institute
State main noise type and determine medium filtering template；
Contour detecting equipment, it is connected with the noise analysis equipment, for judging the target in the second enhancing image
Profile.
The sleeping bag sinking degree measuring system can also include：
Differentiation filter apparatus, it is connected respectively with the stencil-chosen equipment and the contour detecting equipment, for group
Into each contour pixel of the objective contour, based on the medium filtering template according to the medium filtering window centered on it
Intraoral pixel distribution determines different filtering strategies, it is described based on the medium filtering template according to the intermediate value centered on it
Pixel distribution in filter window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than
During equal to non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the profile
The pixel value of pixel, when the object pixel quantity in medium filtering window is less than the non-targeted pixel quantity in medium filtering window
When, take pixel value of the average as the contour pixel of the pixel value of each non-targeted pixel；The differentiation filter apparatus
Each non-contour pixel to being not belonging to the objective contour in the high-definition image is additionally operable to, based on the medium filtering mould
Plate is used as the non-contour pixel according to using the average of the pixel value of all pixels in the medium filtering window centered on it
Pixel value；The differentiation filter apparatus exports differentiation filtering image.
The sleeping bag sinking degree measuring system can also include：
Peak value detection device is disturbed, is connected with the static storage device, image capture device and bag are come from for receiving
Real-time high definition image containing the sleeping bag body frame structure, the grey level histogram of the real-time high definition image is determined, obtains the gray scale
Multiple peak values on ordinate direction in histogram, amplitude in multiple peak values is less than or equal to the peak of default noise amplitudes threshold value
Value all as interference peak value, gone from multiple peak values unless each Interference Peaks value one or more refer to peak value to obtain；
Self-adaption binaryzation processing equipment, it is connected with the interference peak value detection device, for being referred to one or more
Peak value average processing to obtain equalization peak value, and by the grey level histogram, the value on ordinate direction approaches
The tonal gradation on abscissa corresponding to the equalization peak value is additionally operable to be directed to real-time high definition image as binary-state threshold
In each pixel pixel value, pixel value is more than or equal to the binary-state threshold, will using its pixel value as 255
Pixel value is less than the binary-state threshold, using its pixel value as 0, to obtain adaptive bianry image；
Initialization process equipment, for receiving adaptive bianry image, based on goal-selling upper limit gray threshold and preset
Target lower limit gray threshold determines whether each pixel in the adaptive bianry image belongs to object pixel, by described in certainly
Adapt to all object pixels composition preliminary aim region in bianry image；
First enhancing equipment, is connected with the initialization process equipment, for improving in the adaptive bianry image just
The gray value grade of all pixels in region is walked to obtain the first enhancing image；
Second enhancing equipment, be connected with the described first enhancing equipment, strengthens image for receiving described first, described in enhancing
Highlights region in first enhancing image, while the dark portion region in the first enhancing image is reduced, to obtain the second enhancing
Image；
Wherein, the depression identification equipment is used to receive differentiation filtering image, and based on default sunk area upper limit ash
Degree threshold value and default sunk area lower limit gray threshold identify from the differentiation filtering image and are partitioned into the sleeping bag master
The sunk area of framework.
In the sleeping bag sinking degree measuring system：
Noise type in the second enhancing image includes internal noise caused by sensitive components.
In the sleeping bag sinking degree measuring system：
Noise type in the second enhancing image includes the interference noise of transmission channel.
In the sleeping bag sinking degree measuring system：
Noise type in the second enhancing image includes jittering noise and the photosensitive material that electrical machinery motion is brought
Grain noise caused by material.
In addition, image filtering, i.e., press down under conditions of image detail feature is retained as far as possible to the noise of target image
System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide
The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
Often polluted in journey by a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on image and cause the isolated of stronger visual effect
Pixel or block of pixels.Typically, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, and these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in conventional image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or non-gaussian be present and make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning precision and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the weak point of linear filter to a certain extent.
Using the sleeping bag sinking degree measuring system of the present invention, for lacking sleeping bag quality surveillance mechanism in the prior art
Technical problem, establish measurement sleeping bag sinking degree, judge the sleeping bag quality testing pattern of sleeping bag sinking degree, it is the most key
It is to introduce including differentiation filter apparatus, interference peak value detection device, self-adaption binaryzation processing equipment, initialization process
Equipment, the first enhancing equipment, the image processing equipment of the second enhancing equipment, improve the effective of sleeping bag sinking degree measurement result
Property.
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 (9)
1. a kind of measuring method of sinking degree, this method include：
1) a kind of sleeping bag sinking degree measuring system is provided, including voice playing equipment, sleeping bag body frame structure, depression identification equipment and
Sinking degree measuring apparatus, the depression identification equipment are used for the sunk area for identifying the sleeping bag body frame structure, the depression journey
Degree measuring apparatus is connected with the depression identification equipment, for determining the depression of the sleeping bag body frame structure based on the sunk area
Degree；
Wherein, the voice playing equipment is connected with the sinking degree measuring apparatus, for receiving and playing the sleeping bag master
The sinking degree of framework；And
2) measured using the measuring system.
2. the method as described in claim 1, it is characterised in that：
The voice playing equipment includes Voice command chip, voice memory unit and voice playing unit；
Wherein, the voice memory unit stores various voice prompted files, the Voice command chip respectively with institute's predicate
Sound memory cell connects with the voice playing unit, for controlling the voice playing unit to play the voice memory unit
In voice prompted file corresponding with the sinking degree of the sleeping bag body frame structure.
3. method as claimed in claim 2, it is characterised in that：
The voice playing equipment, the depression identification equipment and the sinking degree measuring apparatus are all disposed within the sleeping bag master
In instrument case above framework.
4. method as claimed in claim 3, it is characterised in that the measuring system also includes：
Noise analysis equipment, for receiving the second enhancing image, noise type analysis is carried out with true to the described second enhancing image
The noise type of noise amplitude maximum in the fixed second enhancing image is to be used as main noise type to export；
Stencil-chosen equipment, it is connected with the noise analysis equipment, for receiving the main noise type, and is based on the master
Noise type is wanted to determine medium filtering template；
Contour detecting equipment, it is connected with the noise analysis equipment, for judging the objective contour in the second enhancing image.
5. method as claimed in claim 4, it is characterised in that the measuring system also includes：
Differentiation filter apparatus, it is connected respectively with the stencil-chosen equipment and the contour detecting equipment, for forming institute
Each contour pixel of objective contour is stated, based on the medium filtering template according in the medium filtering window centered on it
Pixel distribution determine different filtering strategies, it is described based on the medium filtering template according to the medium filtering centered on it
Pixel distribution in window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than or equal to
During non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the contour pixel
Pixel value, when the object pixel quantity in medium filtering window be less than medium filtering window in non-targeted pixel quantity when,
Take pixel value of the average of the pixel value of each non-targeted pixel as the contour pixel；The differentiation filter apparatus is also used
Each non-contour pixel of the objective contour is not belonging in the high-definition image, based on the medium filtering template root
Pixel of the average of the pixel value of all pixels in medium filtering window centered on it as the non-contour pixel according to this
Value；The differentiation filter apparatus exports differentiation filtering image.
6. method as claimed in claim 5, it is characterised in that the measuring system also includes：
Peak value detection device is disturbed, is connected with the static storage device, for receiving from image capture device and including institute
The real-time high definition image of sleeping bag body frame structure is stated, determines the grey level histogram of the real-time high definition image, obtains the intensity histogram
Multiple peak values on ordinate direction in figure, amplitude in multiple peak values is less than or equal to the peak value of default noise amplitudes threshold value all
As interference peak value, gone from multiple peak values unless each Interference Peaks value one or more refer to peak value to obtain；
Self-adaption binaryzation processing equipment, it is connected with the interference peak value detection device, for referring to peak value to one or more
Processing average to obtain equalization peak value, by the grey level histogram, the value on ordinate direction is described in
The tonal gradation on the abscissa corresponding to peak value is equalized as binary-state threshold, is additionally operable to be directed in real-time high definition image
The pixel value of each pixel, pixel value is more than or equal to the binary-state threshold, using its pixel value as 255, by pixel
Value is less than the binary-state threshold, using its pixel value as 0, to obtain adaptive bianry image；
Initialization process equipment, for receiving adaptive bianry image, based on goal-selling upper limit gray threshold and goal-selling
Lower limit gray threshold determines whether each pixel in the adaptive bianry image belongs to object pixel, will be described adaptive
All object pixels composition preliminary aim region in bianry image；
First enhancing equipment, is connected with the initialization process equipment, for improving preliminary area in the adaptive bianry image
The gray value grade of all pixels in domain is to obtain the first enhancing image；
Second enhancing equipment, it is connected with the described first enhancing equipment, for receiving the first enhancing image, enhancing described first
Strengthen the highlights region in image, while reduce the dark portion region in the first enhancing image, to obtain the second enhancing image；
Wherein, the depression identification equipment is used to receive differentiation filtering image, and based on default sunk area upper limit gray scale threshold
Value and default sunk area lower limit gray threshold identify from the differentiation filtering image and are partitioned into the sleeping bag body frame structure
Sunk area.
7. method as claimed in claim 6, it is characterised in that：
Noise type in the second enhancing image includes internal noise caused by sensitive components.
8. method as claimed in claim 7, it is characterised in that：
Noise type in the second enhancing image includes the interference noise of transmission channel.
9. method as claimed in claim 8, it is characterised in that：
The jittering noise and photosensitive material that noise type in the second enhancing image is brought including electrical machinery motion draw
The grain noise risen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710654241.1A CN107655404A (en) | 2017-08-03 | 2017-08-03 | A kind of measuring method of sinking degree |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710654241.1A CN107655404A (en) | 2017-08-03 | 2017-08-03 | A kind of measuring method of sinking degree |
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| CN107655404A true CN107655404A (en) | 2018-02-02 |
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| CN201710654241.1A Withdrawn CN107655404A (en) | 2017-08-03 | 2017-08-03 | A kind of measuring method of sinking degree |
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| CN (1) | CN107655404A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116342610A (en) * | 2023-05-31 | 2023-06-27 | 山东恒海钢结构有限公司 | Steel structure assembly type building welding abnormality detection method |
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2017
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116342610A (en) * | 2023-05-31 | 2023-06-27 | 山东恒海钢结构有限公司 | Steel structure assembly type building welding abnormality detection method |
| CN116342610B (en) * | 2023-05-31 | 2023-08-15 | 山东恒海钢结构有限公司 | Steel structure assembly type building welding abnormality detection method |
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