CN108694704B - Intelligent live image filtering method - Google Patents
Intelligent live image filtering method Download PDFInfo
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- CN108694704B CN108694704B CN201810268129.9A CN201810268129A CN108694704B CN 108694704 B CN108694704 B CN 108694704B CN 201810268129 A CN201810268129 A CN 201810268129A CN 108694704 B CN108694704 B CN 108694704B
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- 230000003044 adaptive effect Effects 0.000 claims abstract description 5
- 238000013500 data storage Methods 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 9
- 208000033748 Device issues Diseases 0.000 claims description 3
- 230000007423 decrease Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
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- 238000012986 modification Methods 0.000 description 3
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- 230000005540 biological transmission Effects 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
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- 230000011218 segmentation Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000008399 tap water Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/10—Image enhancement or restoration using non-spatial domain filtering
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Abstract
The present invention relates to a kind of intelligent live image filtering methods, including providing and using intelligent live image filtering system, system includes: adjustable height closure member, the collector nozzle of washbowl is set, height adjustment based on closure member is lauched gap width, wherein, what the height of closure member was adjusted is higher, the washbowl of height based on closure member adjustment to be lauched gap width bigger；Scene capture equipment is arranged in toilet, for obtain frontal scene image, and exporting the frontal scene image to shooting in front of washbowl；Recursion process equipment is connect with the scene capture equipment, for receiving the frontal scene image, is executed adaptive recursive filtering to the frontal scene image and is handled, to obtain the first filtering image.By means of the invention it is possible to make the preference height for being lauched gap width and being adjusted to user of washbowl, to cater to the use habit of every user.
Description
Technical field
The present invention relates to image filtering field more particularly to a kind of intelligent live image filtering methods.
Background technique
Image filtering inhibits the noise of target image under conditions of retaining image minutia as far as possible, is
Indispensable operation in image preprocessing, treatment effect quality will directly influence subsequent image processing and analysis have
Effect property and reliability.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake
The often pollution by a variety of noises in journey.In addition, certain 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 the image and cause the isolated of stronger visual effect
Pixel or block of pixels.Generally, 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, these extreme values are acted on by plus-minus
On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image recognition.The filter for constructing a kind of effectively inhibition noise must be taken into consideration
Two basic problems: the noise that can be effectively removed in target and background；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
Summary of the invention
The present invention provides a kind of intelligent live image filtering methods, can be obtained by high-precision image procossing
The history of the user of washbowl uses data, and the history of the user based on washbowl uses data to the height of washbowl
The height of adjustable closed part is voluntarily adjusted.
According to an aspect of the present invention, a kind of intelligent live image filtering method is provided, which comprises
Using adjustable height closure member, the collector nozzle of washbowl is set, the height adjustment based on closure member is lauched seam
Gap width, wherein the height of closure member is adjusted higher, and the washbowl of the height adjustment based on closure member is lauched slit width
It spends bigger；
Usage scenario capture apparatus is arranged in toilet, for shooting in front of washbowl, to obtain front
Scene image, and export the frontal scene image；
It using Recursion process equipment, is connect with the scene capture equipment, for receiving the frontal scene image, to institute
It states frontal scene image and executes adaptive recursive filtering processing, to obtain the first filtering image；
Using signal-to-noise ratio detection device, it is connect with the Recursion process equipment, for receiving first filtering image, and
The signal-to-noise ratio of first filtering image is parsed, when the signal-to-noise ratio being resolved to is more than or equal to preset ratio threshold value, hair
Out without handling signal, when the signal-to-noise ratio being resolved to is less than preset ratio threshold value, issues and continue filtering signal；
Using wavelet filtering equipment, connect with the signal-to-noise ratio detection device, for receive it is described continue filtering letter
Number when, to first filtering image execute wavelet filtering processing to obtain and export the second filtering image, be also used to receiving
To described without being exported using first filtering image as the second filtering image when handling signal；
Using data storage device, for the signal-to-noise ratio piecemeal table of comparisons, the signal-to-noise ratio piecemeal table of comparisons to be stored in advance
Saving with signal-to-noise ratio grade is the corresponding image block indexed, wherein in the signal-to-noise ratio piecemeal table of comparisons, signal-to-noise ratio
Higher grade, and corresponding image block is smaller.
It can be seen that the present invention at least has following several key inventives point:
(1) history of the user based on washbowl uses data, to the height of the adjustable height closure member of washbowl
It is adjusted, so that the preference height for being lauched gap width and being adjusted to user of washbowl, so that having catered to every makes
The use habit of user；
(2) two stage filter linkage treatment mechanism is used, is filtered using the higher wavelet filtering equipment of complexity as rear class
Wave device is only unsatisfactory for noise in prime filtering using the lower recursive filtering equipment of complexity as prime filter apparatus
In the case where requiring, just the complicated wavelet filtering equipment of starting carries out secondary filtering, thus not influencing the same of filter effect
When, reduce the operand of filtering；
(3) the image block mechanism based on the real-time signal-to-noise ratio grade of image is established, while passing through the specific of three primary colours channel
The region to be identified where target is judged in numerical analysis, to improve the precision of image recognition.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structural schematic diagram according to the intelligent live image filtering system shown in embodiment of the present invention.
Specific embodiment
The embodiment of intelligent live image filtering method of the invention is described in detail below with reference to accompanying drawings.
The a little higher than table top of basin side palpus of washbowl, but had to smoothly with table top joint, it is therefore intended that table top will be splashed
On water wipe back it is unobstructed when being gone in basin, while be convenient for table top cleaning.Table top itself has to select surface smooth
Material, edge and two corners must be round and smooth, in order to avoid collide with.The finish of washbowl itself is also extremely important, highly polished pelvic surface of sacrum
So that the sundries in water is not easy attaching surface, comparatively reduces the number to need cleaning.Conventionally, the depth and peace of washbowl
The intensity of the tap water flow of top loading is directly proportional, i.e., deep basin could install the strong faucet of water flow.Ten million can not be the bottom of at
Coarse tap is installed on the shallower basin in portion, with this can make one to splash when with water.Enough arcs will be arranged at the bottom of basin
Degree, cannot be too flat, and otherwise water can accumulate inside.
Currently, the lower water speed of washbowl is adjusted by the height of the adjustable height closure member built in it,
Adjustable height closure member is higher, then the lower water speed of washbowl is faster, adjustable height closure member be by manually voluntarily controlling,
It can not be carried out automatically controlling according to the usage history data of user.
In order to overcome above-mentioned deficiency, the present invention has built a kind of intelligent live image filtering method.
Fig. 1 is the structural schematic diagram according to the intelligent live image filtering system shown in embodiment of the present invention, described
System includes sewer pipe 2 and connector 3, further includes:
The collector nozzle of washbowl is arranged in adjustable height closure member 1, and the height adjustment based on closure member is lauched slit width
Degree, wherein the height of closure member is adjusted higher, and the gap width that is lauched of the washbowl of the height adjustment based on closure member is got over
Greatly；
Scene capture equipment is arranged in toilet, for shooting in front of washbowl, to obtain frontal scene
Image, and export the frontal scene image；
Recursion process equipment is connect with the scene capture equipment, for receiving the frontal scene image, before described
Square scene image executes adaptive recursive filtering processing, to obtain the first filtering image；
Signal-to-noise ratio detection device is connect with the Recursion process equipment, for receiving first filtering image, and to institute
The signal-to-noise ratio for stating the first filtering image is parsed, and when the signal-to-noise ratio being resolved to is more than or equal to preset ratio threshold value, issues nothing
Signal need to be handled, when the signal-to-noise ratio being resolved to is less than preset ratio threshold value, issues and continues filtering signal；
Wavelet filtering equipment is connect with the signal-to-noise ratio detection device, for when receiving the continuation filtering signal,
Wavelet filtering processing is executed to obtain and export the second filtering image to first filtering image, be also used to receive it is described
When without handling signal, exported using first filtering image as the second filtering image；
Data storage device, for the signal-to-noise ratio piecemeal table of comparisons to be stored in advance, the signal-to-noise ratio piecemeal table of comparisons is saved
It take signal-to-noise ratio grade as the corresponding image block of index, wherein in the signal-to-noise ratio piecemeal table of comparisons, signal-to-noise ratio grade
Higher, corresponding image block is smaller；
Image block equipment is connect with the wavelet filtering equipment, for receiving second filtering image, also with it is described
Data storage device connection examines the signal-to-noise ratio of second filtering image for receiving the signal-to-noise ratio piecemeal table of comparisons
It surveys to obtain corresponding signal-to-noise ratio grade, based on the corresponding signal-to-noise ratio grade got from the signal-to-noise ratio piecemeal table of comparisons
Corresponding image block is searched, and image point is carried out to second filtering image according to the corresponding image block found
It cuts, to obtain the image-region of same size；
Piecemeal processing equipment is connect with described image piecemeal equipment, for executing following place for each image-region
Reason: the tone channel value, luminance channel value and saturation degree channel value of each pixel are obtained, the color of each pixel is calculated
Adjust the sum of channel value, luminance channel value and saturation degree channel value using the overall channel value as corresponding pixel points, by all pixels point
Overall channel value be added, to obtain the overall channel value of image-region；
Piecemeal extract equipment is connect with the piecemeal processing equipment, to receive the overall channel value of each image-region, for
Each image-region is determined when its current overall channel value is greater than the average value of the overall channel value of image-region around it
For region to be identified and export；
Characteristic identificating equipment is connect with the piecemeal extract equipment, for all regions to be identified combinations are obtained to
Identification icon executes the human bioequivalence based on characteristics of image to the pattern to be identified, and when recognizing human body, obtains human body
Characteristics of image, to determine and issue corresponding with the characteristics of image of human body current human number；
Closure member condition detecting device is connect, for detecting the adjustable height with the adjustable height closure member
The height of closure member as current hoisting depth to export；
Mode selection device, respectively with the data storage device, the closure member condition detecting device and the spy
Sign identification equipment connection, for when receiving current human's number, when by current human's number, in the data
The height of corresponding closure member is numbered in search with the current human in storage equipment, and by the height searched and it is described currently
Hoisting depth compares, when the height that described search arrives be less than the current hoisting depth when, issue decline driving signal and
The difference between height that the current hoisting depth and described search arrive, when the height that described search arrives works as premise greater than described
When rise, the difference risen between the height that driving signal and the current hoisting depth and described search arrive is issued；
Driving motor is gone up and down, is connect respectively with the mode selection device and the adjustable height closure member, base is used for
It is realized in the output of the mode selection device and the height of adjustable height closure member is adjusted.
Then, continue that the specific structure of intelligent live image filtering system of the invention is further detailed.
In the intelligent live image filtering system:
In the mode selection device, when the height that described search arrives is equal to the current hoisting depth, issue high
Spend matched signal.
In the intelligent live image filtering system:
The data storage device is also used to be stored in advance the height that corresponding closure member is numbered with each human body.
In the intelligent live image filtering system:
Each human body numbers the height of corresponding closure member and manually adjusts institute to number corresponding personnel to the human body
It states the historical data statistics of the height of adjustable height closure member and obtains.
And in the intelligent live image filtering system:
It is right when receiving the matched signal that the mode selection device issues in the lifting driving motor
The adjustable height closure member is adjusted without height.
Meanwhile the intelligent live image filtering method shown according to an embodiment of the present invention includes:
Using adjustable height closure member, the collector nozzle of washbowl is set, the height adjustment based on closure member is lauched seam
Gap width, wherein the height of closure member is adjusted higher, and the washbowl of the height adjustment based on closure member is lauched slit width
It spends bigger；
Usage scenario capture apparatus is arranged in toilet, for shooting in front of washbowl, to obtain front
Scene image, and export the frontal scene image；
It using Recursion process equipment, is connect with the scene capture equipment, for receiving the frontal scene image, to institute
It states frontal scene image and executes adaptive recursive filtering processing, to obtain the first filtering image；
Using signal-to-noise ratio detection device, it is connect with the Recursion process equipment, for receiving first filtering image, and
The signal-to-noise ratio of first filtering image is parsed, when the signal-to-noise ratio being resolved to is more than or equal to preset ratio threshold value, hair
Out without handling signal, when the signal-to-noise ratio being resolved to is less than preset ratio threshold value, issues and continue filtering signal；
Using wavelet filtering equipment, connect with the signal-to-noise ratio detection device, for receive it is described continue filtering letter
Number when, to first filtering image execute wavelet filtering processing to obtain and export the second filtering image, be also used to receiving
To described without being exported using first filtering image as the second filtering image when handling signal；
Using data storage device, for the signal-to-noise ratio piecemeal table of comparisons, the signal-to-noise ratio piecemeal table of comparisons to be stored in advance
Saving with signal-to-noise ratio grade is the corresponding image block indexed, wherein in the signal-to-noise ratio piecemeal table of comparisons, signal-to-noise ratio
Higher grade, and corresponding image block is smaller；
Using image block equipment, connect with the wavelet filtering equipment, for receiving second filtering image, also with
Data storage device connection for receiving the signal-to-noise ratio piecemeal table of comparisons, to the signal-to-noise ratio of second filtering image into
Row detection is compareed based on the corresponding signal-to-noise ratio grade got from the signal-to-noise ratio piecemeal with obtaining corresponding signal-to-noise ratio grade
Corresponding image block is searched in table, and image is carried out to second filtering image according to the corresponding image block found
Segmentation, to obtain the image-region of same size；
Using piecemeal processing equipment, connect with described image piecemeal equipment, for for each image-region execute with
Lower processing: the tone channel value, luminance channel value and saturation degree channel value of each pixel are obtained, each pixel is calculated
Tone channel value, the sum of luminance channel value and saturation degree channel value using the overall channel value as corresponding pixel points, by all pictures
The overall channel value of vegetarian refreshments is added, to obtain the overall channel value of image-region；
Using piecemeal extract equipment, it is connect with the piecemeal processing equipment, to receive the overall channel value of each image-region,
For each image-region, when its current overall channel value is greater than the average value of the overall channel value of image-region around it, by it
It is determined as region to be identified and exports；
It using characteristic identificating equipment, is connect with the piecemeal extract equipment, for combining in all regions to be identified to obtain
Pattern to be identified is obtained, the human bioequivalence based on characteristics of image is executed to the pattern to be identified, and when recognizing human body, obtain
The characteristics of image of human body, to determine and issue current human's number corresponding with the characteristics of image of human body；
Using closure member condition detecting device, it is connect with the adjustable height closure member, it can for detecting the height
The height of mode closure member as current hoisting depth to export；
Use pattern select equipment, respectively with the data storage device, the closure member condition detecting device and institute
Characteristic identificating equipment connection is stated, for when receiving current human's number, when by current human's number, described
The height of corresponding closure member is numbered in search with the current human in data storage device, and by the height searched with it is described
Current hoisting depth compares, and when the height that described search arrives is less than the current hoisting depth, issues decline driving signal
And the difference between the height that arrives of the current hoisting depth and described search, when described search to height be greater than described work as
When preceding hoisting depth, the difference risen between the height that driving signal and the current hoisting depth and described search arrive is issued
Value；
It using lifting driving motor, connect, uses with the mode selection device and the adjustable height closure member respectively
It is realized in the output based on the mode selection device and the height of adjustable height closure member is adjusted.
Then, continue that the specific steps of intelligent live image filtering method of the invention are further detailed.
In the intelligent live image filtering method:
In the mode selection device, when the height that described search arrives is equal to the current hoisting depth, issue high
Spend matched signal.
In the intelligent live image filtering method:
The data storage device is also used to be stored in advance the height that corresponding closure member is numbered with each human body.
In the intelligent live image filtering method:
Each human body numbers the height of corresponding closure member and manually adjusts institute to number corresponding personnel to the human body
It states the historical data statistics of the height of adjustable height closure member and obtains.
And in the intelligent live image filtering method:
It is right when receiving the matched signal that the mode selection device issues in the lifting driving motor
The adjustable height closure member is adjusted without height.
In addition, the wavelet filtering equipment is a kind of nonlinear filter, it is, in general, that working as signal spectrum and noise spectrum
Such as the noise as caused by mission nonlinear or there are non-Gaussian noises when aliasing or when containing nonadditivity noise in signal
It is converted Deng, traditional linear filter technology, such as Fourier, while filtering out noise, always blurred picture details in some way,
Such as edge, and then cause to reduce as the positioning accuracy of linear character and the extraction property of feature.And nonlinear filter is base
In a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise can be approximatively mapped as zero and retain letter
Number want feature, thus it can overcome the shortcoming of linear filter to a certain extent.
It is low for washbowl the degree of automation in the prior art using intelligent live image filtering method of the invention
The technical issues of, using two stage filter linkage treatment mechanism and establish the image block based on the real-time signal-to-noise ratio grade of image
Mechanism, while being analyzed by the specific value in three primary colours channel, the region to be identified where target is judged, to improve figure
As the precision of identification, more it is essential that the history of the user also based on the washbowl recognized uses data, to washbowl
The height of adjustable height closure member is adjusted, so that the preference for being lauched gap width and being adjusted to user of washbowl
Highly.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are 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 variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (1)
1. a kind of intelligence live image filtering method, which is characterized in that the described method includes:
Using adjustable height closure member, the collector nozzle of washbowl is set, the height adjustment based on closure member is lauched slit width
Degree, wherein the height of closure member is adjusted higher, and the gap width that is lauched of the washbowl of the height adjustment based on closure member is got over
Greatly；
Usage scenario capture apparatus is arranged in toilet, for shooting in front of washbowl, to obtain frontal scene
Image, and export the frontal scene image；
It using Recursion process equipment, is connect with the scene capture equipment, for receiving the frontal scene image, before described
Square scene image executes adaptive recursive filtering processing, to obtain the first filtering image；
It using signal-to-noise ratio detection device, is connect with the Recursion process equipment, for receiving first filtering image, and to institute
The signal-to-noise ratio for stating the first filtering image is parsed, and when the signal-to-noise ratio being resolved to is more than or equal to preset ratio threshold value, issues nothing
Signal need to be handled, when the signal-to-noise ratio being resolved to is less than preset ratio threshold value, issues and continues filtering signal；
Using wavelet filtering equipment, it is connect with the signal-to-noise ratio detection device, for when receiving the continuation filtering signal,
Wavelet filtering processing is executed to obtain and export the second filtering image to first filtering image, be also used to receive it is described
When without handling signal, exported using first filtering image as the second filtering image；
Using data storage device, for the signal-to-noise ratio piecemeal table of comparisons to be stored in advance, the signal-to-noise ratio piecemeal table of comparisons is saved
It take signal-to-noise ratio grade as the corresponding image block of index, wherein in the signal-to-noise ratio piecemeal table of comparisons, signal-to-noise ratio grade
Higher, corresponding image block is smaller；
Using image block equipment, connect with the wavelet filtering equipment, for receiving second filtering image, also with it is described
Data storage device connection examines the signal-to-noise ratio of second filtering image for receiving the signal-to-noise ratio piecemeal table of comparisons
It surveys to obtain corresponding signal-to-noise ratio grade, based on the corresponding signal-to-noise ratio grade got from the signal-to-noise ratio piecemeal table of comparisons
Corresponding image block is searched, and image point is carried out to second filtering image according to the corresponding image block found
It cuts, to obtain the image-region of same size；
It using piecemeal processing equipment, is connect with described image piecemeal equipment, for executing following place for each image-region
Reason: the tone channel value, luminance channel value and saturation degree channel value of each pixel are obtained, the color of each pixel is calculated
Adjust the sum of channel value, luminance channel value and saturation degree channel value using the overall channel value as corresponding pixel points, by all pixels point
Overall channel value be added, to obtain the overall channel value of image-region；
Using piecemeal extract equipment, it is connect with the piecemeal processing equipment, to receive the overall channel value of each image-region, for
Each image-region is determined when its current overall channel value is greater than the average value of the overall channel value of image-region around it
For region to be identified and export；
Using characteristic identificating equipment, connect with the piecemeal extract equipment, for all regions to be identified combinations are obtained to
Identification icon executes the human bioequivalence based on characteristics of image to the pattern to be identified, and when recognizing human body, obtains human body
Characteristics of image, to determine and issue corresponding with the characteristics of image of human body current human number；
Using closure member condition detecting device, it is connect with the adjustable height closure member, for detecting the adjustable height
The height of closure member as current hoisting depth to export；
Use pattern select equipment, respectively with the data storage device, the closure member condition detecting device and the spy
Sign identification equipment connection, for when receiving current human's number, searched in the data storage device with it is described
Current human numbers the height of corresponding closure member, and the height searched is compared with the current hoisting depth, works as institute
When stating the height searched less than the current hoisting depth, decline driving signal and the current hoisting depth and institute are issued
The difference between the height searched is stated, when the height that described search arrives is greater than the current hoisting depth, issues to rise and drive
The difference between height that dynamic signal and the current hoisting depth and described search arrive；
It using lifting driving motor, is connect respectively with the mode selection device and the adjustable height closure member, is used for base
It is realized in the output of the mode selection device and the height of adjustable height closure member is adjusted；
In the mode selection device, when the height that described search arrives is equal to the current hoisting depth, height is issued
With signal；
The data storage device is also used to be stored in advance the height that corresponding closure member is numbered with each human body；
The height that each human body numbers corresponding closure member is to number corresponding personnel to the human body to manually adjust the height
It spends the historical data statistics of the height of adjustable closed part and obtains；
In the lifting driving motor, when receiving the matched signal that the mode selection device issues, to described
Adjustable height closure member is adjusted without height.
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| CN108694704B true CN108694704B (en) | 2019-05-03 |
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| CN111658541B (en) * | 2020-06-15 | 2024-06-04 | 刘悦 | Vessel suitable for dysphagia patient |
| CN113688725A (en) * | 2021-08-24 | 2021-11-23 | 李畅杰 | Washing appliance unmanned maintenance platform |
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| CN106911912A (en) * | 2016-10-25 | 2017-06-30 | 蒋晓云 | Adaptive-filtering selection system based on graphical analysis |
| CN107280540A (en) * | 2016-03-30 | 2017-10-24 | 株式会社Ｉ＆Ｃ | Automatic-lifting type washing basin |
| CN107366338A (en) * | 2017-07-04 | 2017-11-21 | 王韶华 | A kind of adjustable sewer filter of flow |
| CN107545575A (en) * | 2016-06-27 | 2018-01-05 | 张华华 | High in the clouds image segmentation system based on wavelet filtering |
| CN107743421A (en) * | 2015-06-11 | 2018-02-27 | 宝洁公司 | Apparatus and method for composition to be applied to surface |
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2018
- 2018-03-29 CN CN201810268129.9A patent/CN108694704B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107743421A (en) * | 2015-06-11 | 2018-02-27 | 宝洁公司 | Apparatus and method for composition to be applied to surface |
| CN107280540A (en) * | 2016-03-30 | 2017-10-24 | 株式会社Ｉ＆Ｃ | Automatic-lifting type washing basin |
| CN107545575A (en) * | 2016-06-27 | 2018-01-05 | 张华华 | High in the clouds image segmentation system based on wavelet filtering |
| CN106911912A (en) * | 2016-10-25 | 2017-06-30 | 蒋晓云 | Adaptive-filtering selection system based on graphical analysis |
| CN107366338A (en) * | 2017-07-04 | 2017-11-21 | 王韶华 | A kind of adjustable sewer filter of flow |
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