CN109431424A - Scavenging period control platform - Google Patents
Scavenging period control platform Download PDFInfo
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- CN109431424A CN109431424A CN201811485036.8A CN201811485036A CN109431424A CN 109431424 A CN109431424 A CN 109431424A CN 201811485036 A CN201811485036 A CN 201811485036A CN 109431424 A CN109431424 A CN 109431424A
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- image
- light tone
- gamma correction
- equipment
- scavenging period
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- 230000002000 scavenging effect Effects 0.000 title claims abstract description 44
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 19
- 230000006698 induction Effects 0.000 claims abstract description 11
- 230000033228 biological regulation Effects 0.000 claims abstract description 8
- 238000004140 cleaning Methods 0.000 claims abstract description 8
- 239000012459 cleaning agent Substances 0.000 claims abstract description 4
- 238000012937 correction Methods 0.000 claims description 51
- 238000001914 filtration Methods 0.000 claims description 41
- 238000012545 processing Methods 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 12
- 238000005520 cutting process Methods 0.000 claims description 9
- 238000003384 imaging method Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 230000036413 temperature sense Effects 0.000 claims 1
- 238000004851 dishwashing Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 5
- 230000009466 transformation Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000007921 spray Substances 0.000 description 3
- 238000005406 washing Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000009514 concussion Effects 0.000 description 1
- 239000000356 contaminant Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000012054 meals Nutrition 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000002787 reinforcement Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/46—Devices for the automatic control of the different phases of cleaning ; Controlling devices
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- G06T5/80—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L2501/00—Output in controlling method of washing or rinsing machines for crockery or tableware, i.e. quantities or components controlled, or actions performed by the controlling device executing the controlling method
- A47L2501/36—Other output
Abstract
The present invention relates to a kind of scavenging period control platforms, comprising: table dish-washer body frame structure, including venthole, guide rail, gushing arm, door inner panel pit, gate, body, feed element, control panel and thermoregulator;The thermoregulator is used to adjust the real time temperature of the water body of the bottom of the body of the table dish-washer body frame structure, and the feed element is for supplying cleaning water body and cleaning agent;The thermoregulator includes temperature induction unit and temperature regulation unit, and the temperature induction unit is used to incude the real time temperature of the water body of the bottom of the body of the table dish-washer body frame structure, and the temperature regulation unit is connect with the temperature induction unit;The top of the body is arranged in the venthole, and the gate is used to seal the opening of the body, and the feed element is located at the top of the guide rail, and the guide rail is located at the bottom of the body.By means of the invention it is possible to effectively replace the manual operation to dish-washing machine.
Description
Technical field
The present invention relates to table dish-washer field more particularly to a kind of scavenging period control platforms.
Background technique
Table dish-washer figure is small and exquisite and the similar size of family micro-wave oven, occupies little space, and exempt to install and design,
Without installing water inlet pipe, without punching.It has removed and has walked, put down and use, usage scenario is flexible.What table dish-washer generallyd use is
" top spray+bottom spray " double-deck powerful spray mode, and cooperate high temperature water flow strength removal dishes surface and oil contaminant.It can be introduced after cleaning outer
Portion's fresh air, then exclude to take away steam and peculiar smell from top, keep internally dry, for a long time keeping tableware.
Possess it is ultrafast wash, strongly wash, energy conservation is washed, glass is washed and a variety of cleaning models such as washes with fruit, cleaning duration generally exists
It differs within 12-120 minutes.It is designed using water tank water storage, every time when cleaning, needs to inject enough water toward water tank and add the powder that washes the dishes,
More water and electric saving in energy consumption.
Summary of the invention
Artificial technical problem is excessively relied in order to solve current table dish-washer scavenging period setting, the present invention provides
A kind of scavenging period control platform.
The present invention at least has the important inventive point of following two:
(1) traversal based on zigzag, each image-region for traversing zigzag are executed in image to be processed
As each target treatment, the image to be processed is determined based on each light tone percentage of each target treatment
Representative light tone percentage, and when the representative light tone percentage transfinites, introduce the gal based on the mode of tabling look-up
Horse calibration equipment carries out respective handling;
(2) type of tableware to be cleaned is identified, to select corresponding scavenging period based on identification result.
According to an aspect of the present invention, a kind of scavenging period control platform is provided, the platform includes:
Table dish-washer body frame structure, including venthole, guide rail, gushing arm, door inner panel pit, gate, body, feed element,
Control panel and thermoregulator;Wherein, the thermoregulator is used to adjust the bottom of the body of the table dish-washer body frame structure
The real time temperature of the water body in portion, the feed element is for supplying cleaning water body and cleaning agent.
More specifically, in the scavenging period control platform: the thermoregulator includes temperature induction unit and temperature
Degree regulation unit, the temperature induction unit are used to incude the reality of the water body of the bottom of the body of the table dish-washer body frame structure
Shi Wendu, the temperature regulation unit are connect with the temperature induction unit.
More specifically, in the scavenging period control platform: the top of the body is arranged in the venthole, described
Gate is used to seal the opening of the body, and the feed element is located at the top of the guide rail, and the guide rail is located at the machine
The bottom of body.
More specifically, in the scavenging period control platform, further includes:
Wireless image recording equipment is arranged in the body, for carrying out movement of making video recording to the internal body scene, to obtain
Obtain live image of making video recording;Uniform cutting equipment, connect with the wireless image recording equipment, and the scene is made video recording in image for identification
Object quantity, quantity based on the object, which executes, makes video recording the uniform formula region segmentation of image to the scene, to obtain
Multiple images region, wherein the quantity of the object is more, the quantity of pixel occupied by each image-region of acquisition
It is fewer;Data selection equipment is connect, for receiving described multiple images region, at the scene with the uniform cutting equipment
Image of making video recording is interior to execute the traversal based on zigzag, and each image-region for traversing zigzag is handled as each target
Region;Piecemeal operates equipment, connect with the data selection equipment, for receiving each target treatment, and to every
One target treatment executes the identification operation of light tone percentage, to obtain the light tone percentage of each target treatment
Than, and determine that the scene is made video recording the representative light tone percentage of image based on the light tone percentage of each target treatment
Than, wherein the identification operation of light tone percentage is executed to each target treatment, to obtain each target treatment
Light tone percentage comprise determining that gray value in each target treatment falls in the pixel in light tone numberical range
Number, the gray value is fallen in into the number of the pixel in light tone numberical range divided by the picture of the target treatment
Vegetarian refreshments sum is to obtain light tone percentage;Gamma correcting equipment is operated with the uniform cutting equipment and the piecemeal respectively
Equipment connection is more than or equal in advance for receiving the representative light tone percentage, and in the representative light tone percentage
If when light tone percentage threshold, scene image of making video recording being executed gamma correction based on the mode of tabling look-up and being handled, to obtain
Corresponding gamma correction image is also used to be less than the default light tone percentage threshold in the representative light tone percentage
When, image is made video recording into as gamma correction image in the scene and is exported;Data discrimination apparatus connects with the gamma correcting equipment
It connects, for receiving the gamma correction image, based on the corresponding each imaging features of various tablewares to the gamma correction
Image carries out feature identification, to obtain the tableware type in the gamma correction image;Time control apparatus is distinguished with the data
Other equipment connection, for receiving the tableware type in the gamma correction image, and based on the meal in the gamma correction image
Tool type determines corresponding scavenging period;Wherein, in piecemeal operation equipment, the light tone based on each target treatment
Percentage is adjusted to determine that the make video recording representative light tone percentage of image of the scene includes: by the light tone of each target treatment
It adjusts percentage to be ranked up, makes video recording image using the light tone percentage of the target treatment of central serial number as the scene
Representative light tone percentage.
More specifically, in the scavenging period control platform, further includes:
Complexity identification apparatus is connect with the gamma correcting equipment, for receiving the gamma correction image, is based on institute
Whether the gray value for stating each pixel in gamma correction image mutates to determine whether each pixel belongs to edge
Each edge pixel point is carried out geometrical fit with the quantity of the object in the determination gamma correction image by pixel.
More specifically, in the scavenging period control platform: the complexity identification apparatus is also used to the gamma
Each of correction image object determines its complexity, is determined based on the complexity of each object in the gamma correction image
The corresponding target complexity of the gamma correction image.
More specifically, in the scavenging period control platform, further includes:
Real-Time Filtering equipment is connect with the complexity identification apparatus, when for transfiniting in the target complexity received,
The wavelet filtering processing of the corresponding dimension of gamma correction image execution is obtained based on the target complexity received and defeated
Wavelet filtering image out.
More specifically, in the scavenging period control platform: the Real-Time Filtering equipment is also used to based on receiving
Target complexity executes the gaussian filtering process of respective intensities to the wavelet filtering image to obtain and export Real-Time Filtering figure
Picture, target complexity is higher, and the correspondence dimension of the wavelet filtering processing of execution is more, and the correspondence of the gaussian filtering process of execution is strong
It spends bigger.
More specifically, in the scavenging period control platform: the Real-Time Filtering equipment is also used in the mesh received
When mark complexity does not transfinite, the gaussian filtering process of preset strength is executed to obtain Real-Time Filtering figure to the gamma correction image
Picture, and the Real-Time Filtering image is replaced into the gamma correction image and is sent to the data discrimination apparatus.
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 scavenging period control platform shown in embodiment of the present invention.
Specific embodiment
The embodiment of scavenging period control platform of the invention is described in detail below with reference to accompanying drawings.
Table dish-washer does not all need to install to be lauched.So, adaptability not fastidious to space is more extensively table dish-washer
Maximum advantage.The control panel of table dish-washer includes that the operation knob of left-side switch key and right side and reinforcement dry, are pre-
About option, by knob, we can choose, and intelligence is washed, strength speed is washed, energy conservation is washed, brilliant wash thoroughly washes 5 kinds of washing modes with ultrafast, can
With according to tableware material, the needs of degree of fouling and washing duration select suitable washing procedure.And it is being washed greatly original 5
It is additional to increase the 5-15 minutes better drying effects of drying time realization on the basis of washing program.
In order to overcome above-mentioned deficiency, the present invention has built a kind of scavenging period control platform, can effectively solve the problem that corresponding
Technical problem.
Fig. 1 is the structural schematic diagram according to the scavenging period control platform shown in embodiment of the present invention, the platform packet
It includes:
Table dish-washer body frame structure, including venthole, guide rail, gushing arm, door inner panel pit, gate, body, feed element,
Control panel and thermoregulator;
Wherein, the thermoregulator is used to adjust the reality of the water body of the bottom of the body of the table dish-washer body frame structure
Shi Wendu, the feed element is for supplying cleaning water body and cleaning agent.
Then, continue that the specific structure of scavenging period control platform of the invention is further detailed.
In the scavenging period control platform: the thermoregulator includes that temperature induction unit and temperature regulation are single
Member, the temperature induction unit are used to incude the real time temperature of the water body of the bottom of the body of the table dish-washer body frame structure,
The temperature regulation unit is connect with the temperature induction unit.
In the scavenging period control platform: the top of the body is arranged in the venthole, and the gate is used for
The opening of the body is sealed, the feed element is located at the top of the guide rail, and the guide rail is located at the bottom of the body.
In the scavenging period control platform, further includes:
Wireless image recording equipment is arranged in the body, for carrying out movement of making video recording to the internal body scene, to obtain
Obtain live image of making video recording;
Uniform cutting equipment, connect with the wireless image recording equipment, and the scene is made video recording the object in image for identification
Quantity, quantity based on the object, which executes, makes video recording the uniform formula region segmentation of image to the scene, to obtain multiple figures
As region, wherein the quantity of the object is more, and the quantity of pixel occupied by each image-region of acquisition is fewer;
Data selection equipment is connect, for receiving described multiple images region, described existing with the uniform cutting equipment
Field, which is made video recording, executes the traversal based on zigzag in image, each image-region for traversing zigzag as each target at
Manage region;
Piecemeal operates equipment, connect with the data selection equipment, for receiving each target treatment, and it is right
Each target treatment executes the identification operation of light tone percentage, to obtain the light tone hundred of each target treatment
Point ratio, and determine that the scene is made video recording the representative light tone hundred of image based on the light tone percentage of each target treatment
Divide ratio, wherein the identification operation of light tone percentage is executed to each target treatment, to obtain each target treatment region
The light tone percentage in domain comprises determining that gray value in each target treatment falls in the pixel in light tone numberical range
The number of point, falls in the number of the pixel in light tone numberical range divided by the target treatment for the gray value
Pixel sum is to obtain light tone percentage;
Gamma correcting equipment is connect, for receiving respectively with the uniform cutting equipment and piecemeal operation equipment
Representative light tone percentage is stated, and is more than or equal to default light tone percentage threshold in the representative light tone percentage
When, scene image of making video recording is executed by gamma correction based on the mode of tabling look-up is handled, to obtain corresponding gamma correction image,
It is also used to when the representative light tone percentage is less than the default light tone percentage threshold, the scene is made video recording figure
As being exported as gamma correction image;
Data discrimination apparatus is connect with the gamma correcting equipment, for receiving the gamma correction image, based on various
The corresponding each imaging features of tableware carry out feature identification to the gamma correction image, to obtain the gamma correction figure
Tableware type as in;
Time control apparatus is connect with the data discrimination apparatus, for receiving the tableware in the gamma correction image
Type, and corresponding scavenging period is determined based on the tableware type in the gamma correction image;
Wherein, in piecemeal operation equipment, described in the light tone percentage determination based on each target treatment
The make video recording representative light tone percentage of image of scene includes: to arrange the light tone percentage of each target treatment
Sequence is made video recording the representative light tone hundred of image using the light tone percentage of the target treatment of central serial number as the scene
Divide ratio.
In the scavenging period control platform, further includes:
Complexity identification apparatus is connect with the gamma correcting equipment, for receiving the gamma correction image, is based on institute
Whether the gray value for stating each pixel in gamma correction image mutates to determine whether each pixel belongs to edge
Each edge pixel point is carried out geometrical fit with the quantity of the object in the determination gamma correction image by pixel.
In the scavenging period control platform: the complexity identification apparatus is also used to in the gamma correction image
Each object determine its complexity, the gamma school is determined based on the complexity of each object in the gamma correction image
The corresponding target complexity of positive image.
In the scavenging period control platform, further includes:
Real-Time Filtering equipment is connect with the complexity identification apparatus, when for transfiniting in the target complexity received,
The wavelet filtering processing of the corresponding dimension of gamma correction image execution is obtained based on the target complexity received and defeated
Wavelet filtering image out.
In the scavenging period control platform: the Real-Time Filtering equipment is also used to based on the target complexity received
The gaussian filtering process of respective intensities is executed to the wavelet filtering image to obtain and export Real-Time Filtering image, target is complicated
Degree is higher, and the correspondence dimension of the wavelet filtering processing of execution is more, and the respective intensities of the gaussian filtering process of execution are bigger.
In the scavenging period control platform: the Real-Time Filtering equipment be also used to the target complexity received not
When transfiniting, the gaussian filtering process of preset strength is executed to obtain Real-Time Filtering image to the gamma correction image, and by institute
It states the Real-Time Filtering image replacement gamma correction image and is sent to the data discrimination apparatus.
In addition, the Real-Time Filtering equipment executes correspondence to the gamma correction image based on the target complexity received
In the wavelet filtering processing of dimension, this term of used small echo, as its name suggests, " small echo " are exactly small waveform.It is so-called
" small " refers to that he has Decay Rate;And it is referred to as the fluctuation that " wave " then refers to it, the concussion form of amplitude alternate positive and negative.With
Fourier transformation is compared, and wavelet transformation is the localization analysis of time (space) frequency, he is by flexible shift operations to signal
(function) gradually carries out multi-scale refinement, is finally reached high frequency treatment time subdivision, and frequency is segmented at low frequency, can adapt to time-frequency automatically
Signal analysis requirement, so as to focus on any details of signal, solve Fourier transformation difficult problem, become after
Important breakthrough since Fourier transformation in scientific method.Wavelet transformation is called " school microscop " by someone.
The application of wavelet analysis is that the theoretical research with wavelet analysis is bound tightly together ground.He believes in science and technology
Breath industrial field achieves the achievement to attract people's attention.Electronic information technology is a field important in six big new and high technologies, he
Importance be image and signal processing.Now, signal processing has become the pith of contemporary science and technology work, letter
Number processing purpose be exactly: accurately analysis, diagnosis, coding compression and quantization, quickly transmitting or storage, accurately reconstruct (or
Restore).From the point of view of mathematically angle, signal and image procossing can uniformly regard that (image can be regarded as two to signal processing as
Dimensional signal), in wavelet analysis in many applications of many analyses, signal processing problems can be attributed to.For its property
It is to stablize constant signal at any time, the ideal tools of processing are still Fourier analysis.But in practical applications exhausted big
Majority signal is non-stable, and the tool especially suitable for unstable signal is exactly wavelet analysis.
Using scavenging period control platform of the invention, excessively for the setting of table dish-washer scavenging period in the prior art
Artificial technical problem is relied on, the traversal based on zigzag is executed in image to be processed, it is each for traversing zigzag
Image-region as each target treatment, based on each target treatment each light tone percentage determine it is described to
The representative light tone percentage of image is handled, and when the representative light tone percentage transfinites, introduces and is based on tabling look-up
The gamma correcting equipment of mode carries out respective handling;It is particularly critical, the type of tableware to be cleaned is identified, to be based on
Identification result selects corresponding scavenging period;To solve above-mentioned technical problem.
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 (9)
1. a kind of scavenging period control platform characterized by comprising
Table dish-washer body frame structure, including venthole, guide rail, gushing arm, door inner panel pit, gate, body, feed element, control
Plate and thermoregulator;
Wherein, the thermoregulator is used to adjust the real-time temperature of the water body of the bottom of the body of the table dish-washer body frame structure
Degree, the feed element is for supplying cleaning water body and cleaning agent.
2. scavenging period control platform as described in claim 1, it is characterised in that:
The thermoregulator includes temperature induction unit and temperature regulation unit, and the temperature induction unit is described for incuding
The real time temperature of the water body of the bottom of the body of table dish-washer body frame structure, the temperature regulation unit and the temperature sense list
Member connection.
3. scavenging period control platform as claimed in claim 2, it is characterised in that:
The top of the body is arranged in the venthole, and the gate is used to seal the opening of the body, the feed member
Part is located at the top of the guide rail, and the guide rail is located at the bottom of the body.
4. scavenging period control platform as claimed in claim 3, which is characterized in that the platform further include:
Wireless image recording equipment is arranged in the body, for carrying out movement of making video recording to the internal body scene, to be showed
It makes video recording image field;
Uniform cutting equipment, connect with the wireless image recording equipment, and the scene is made video recording the number of the object in image for identification
Amount, quantity based on the object, which executes, makes video recording the uniform formula region segmentation of image to the scene, to obtain multiple images area
Domain, wherein the quantity of the object is more, and the quantity of pixel occupied by each image-region of acquisition is fewer;
Data selection equipment is connect with the uniform cutting equipment, for receiving described multiple images region, in the scene record
The traversal based on zigzag is executed in shadow image, each image-region for traversing zigzag is as each target treatment region
Domain;
Piecemeal operates equipment, connect with the data selection equipment, for receiving each target treatment, and to each
A target treatment executes the identification operation of light tone percentage, to obtain the light tone percentage of each target treatment
Than, and determine that the scene is made video recording the representative light tone percentage of image based on the light tone percentage of each target treatment
Than, wherein the identification operation of light tone percentage is executed to each target treatment, to obtain each target treatment
Light tone percentage comprise determining that gray value in each target treatment falls in the pixel in light tone numberical range
Number, the gray value is fallen in into the number of the pixel in light tone numberical range divided by the picture of the target treatment
Vegetarian refreshments sum is to obtain light tone percentage;
Gamma correcting equipment is connect, for receiving the generation respectively with the uniform cutting equipment and piecemeal operation equipment
Table light tone percentage, and when the representative light tone percentage is more than or equal to default light tone percentage threshold, it is right
The scene make video recording image execute based on the mode of tabling look-up gamma correction processing, to obtain corresponding gamma correction image, also use
In when the representative light tone percentage is less than the default light tone percentage threshold, scene image of making video recording is made
For the output of gamma correction image;
Data discrimination apparatus is connect with the gamma correcting equipment, for receiving the gamma correction image, is based on various tablewares
Corresponding each imaging features carry out feature identification to the gamma correction image, to obtain in the gamma correction image
Tableware type;
Time control apparatus is connect with the data discrimination apparatus, for receiving the tableware type in the gamma correction image,
And corresponding scavenging period is determined based on the tableware type in the gamma correction image;
Wherein, in piecemeal operation equipment, the scene is determined based on the light tone percentage of each target treatment
The representative light tone percentage of image of making video recording includes: to be ranked up the light tone percentage of each target treatment, will
The light tone percentage of the target treatment of central serial number is made video recording the representative light tone percentage of image as the scene.
5. scavenging period control platform as claimed in claim 4, which is characterized in that the platform further include:
Complexity identification apparatus is connect with the gamma correcting equipment, for receiving the gamma correction image, is based on the gal
Whether the gray value of each pixel in horse correction image mutates to determine whether each pixel belongs to edge pixel
Each edge pixel point is carried out geometrical fit with the quantity of the object in the determination gamma correction image by point.
6. scavenging period control platform as claimed in claim 5, it is characterised in that:
The complexity identification apparatus is also used to determine its complexity to each of gamma correction image object, be based on
The complexity of each object determines the corresponding target complexity of the gamma correction image in the gamma correction image.
7. scavenging period control platform as claimed in claim 6, which is characterized in that the platform further include:
Real-Time Filtering equipment is connect with the complexity identification apparatus, when for transfiniting in the target complexity received, is based on
The wavelet filtering processing that the target complexity received executes corresponding dimension to the gamma correction image is small to obtain and export
Wave filtering image.
8. scavenging period control platform as claimed in claim 7, it is characterised in that:
The Real-Time Filtering equipment is also used to execute the wavelet filtering image based on the target complexity received corresponding strong
For the gaussian filtering process of degree to obtain and export Real-Time Filtering image, target complexity is higher, the wavelet filtering processing of execution
Corresponding dimension is more, and the respective intensities of the gaussian filtering process of execution are bigger.
9. scavenging period control platform as claimed in claim 8, it is characterised in that:
The Real-Time Filtering equipment is also used to when the target complexity received does not transfinite, is executed to the gamma correction image
The Real-Time Filtering image is replaced the gamma correction to obtain Real-Time Filtering image by the gaussian filtering process of preset strength
Image is sent to the data discrimination apparatus.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110264768A (en) * | 2019-03-18 | 2019-09-20 | 奥菲(泰州)光电传感技术有限公司 | Intelligent Platform of Image Recognition |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2315898Y (en) * | 1997-10-30 | 1999-04-28 | 中国济南洗衣机厂 | Household full-automatic dish washer |
CN1496704A (en) * | 2002-10-24 | 2004-05-19 | 松下电器产业株式会社 | Tableware washing machine |
US20120138092A1 (en) * | 2010-12-01 | 2012-06-07 | Whirlpool Corporation | Dishwasher with imaging device for measuring load characteristics and a method for controlling same |
CN107485356A (en) * | 2017-09-01 | 2017-12-19 | 佛山市顺德区美的洗涤电器制造有限公司 | The control method of washing and device and dish-washing machine of dish-washing machine |
CN108324210A (en) * | 2017-12-14 | 2018-07-27 | 宁波欧琳厨具有限公司 | A kind of table dish-washer |
CN108378800A (en) * | 2018-02-02 | 2018-08-10 | 广东浩喜电器科技有限公司 | A kind of small desk dish-washing machine |
-
2018
- 2018-12-06 CN CN201811485036.8A patent/CN109431424B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2315898Y (en) * | 1997-10-30 | 1999-04-28 | 中国济南洗衣机厂 | Household full-automatic dish washer |
CN1496704A (en) * | 2002-10-24 | 2004-05-19 | 松下电器产业株式会社 | Tableware washing machine |
US20120138092A1 (en) * | 2010-12-01 | 2012-06-07 | Whirlpool Corporation | Dishwasher with imaging device for measuring load characteristics and a method for controlling same |
CN107485356A (en) * | 2017-09-01 | 2017-12-19 | 佛山市顺德区美的洗涤电器制造有限公司 | The control method of washing and device and dish-washing machine of dish-washing machine |
CN108324210A (en) * | 2017-12-14 | 2018-07-27 | 宁波欧琳厨具有限公司 | A kind of table dish-washer |
CN108378800A (en) * | 2018-02-02 | 2018-08-10 | 广东浩喜电器科技有限公司 | A kind of small desk dish-washing machine |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110264768A (en) * | 2019-03-18 | 2019-09-20 | 奥菲(泰州)光电传感技术有限公司 | Intelligent Platform of Image Recognition |
CN110264768B (en) * | 2019-03-18 | 2020-08-04 | 常州海图电子科技有限公司 | Intelligent image recognition platform |
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