CN108805881A - Double layer rotating Table top type desk - Google Patents
Double layer rotating Table top type desk Download PDFInfo
- Publication number
- CN108805881A CN108805881A CN201810526477.1A CN201810526477A CN108805881A CN 108805881 A CN108805881 A CN 108805881A CN 201810526477 A CN201810526477 A CN 201810526477A CN 108805881 A CN108805881 A CN 108805881A
- Authority
- CN
- China
- Prior art keywords
- image
- region
- table top
- rotating table
- dust
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000012545 processing Methods 0.000 claims abstract description 59
- 238000012795 verification Methods 0.000 claims abstract description 4
- 239000000428 dust Substances 0.000 claims description 72
- 238000001914 filtration Methods 0.000 claims description 49
- 238000005728 strengthening Methods 0.000 claims description 31
- 238000004140 cleaning Methods 0.000 claims description 21
- 238000003709 image segmentation Methods 0.000 claims description 13
- 230000003628 erosive effect Effects 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 230000007797 corrosion Effects 0.000 claims description 6
- 238000005260 corrosion Methods 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000002708 enhancing effect Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 206010000060 Abdominal distension Diseases 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 3
- 208000024330 bloating Diseases 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000005530 etching Methods 0.000 claims description 3
- 238000004442 gravimetric analysis Methods 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims 1
- 230000000694 effects Effects 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 230000015654 memory Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 239000002131 composite material Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000003795 desorption Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B11/00—Tables with tops revolvable on vertical spindles
-
- G06T5/70—
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
Abstract
The present invention relates to a kind of Double layer rotating Table top type desks, including:Double-layered desktop, including upper layer rotating table top and lower layer's rotating table top, the top of lower layer's rotating table top are connect with the bottom of the upper layer rotating table top, and the bottom of lower layer's rotating table top and the supporting rack of desk body connect;State verification equipment, it is arranged in the bottom of lower layer's rotating table top, brightness value for obtaining each pixel in regional processing image, brightness value is less than or equal to the pixel of smog luminance threshold as smog pixel, determine the quantity of the smog pixel in the regional processing image using as the first quantity, determine the quantity of whole pixels in the regional processing image as the second quantity, by first quantity divided by the second quantity to obtain proportional numerical value, when the proportional numerical value transfinites, smog alarm signal is sent out.Through the invention, the electron assistant function of Double layer rotating Table top type desk has effectively been widened.
Description
Technical field
The present invention relates to double-layered desktop desk field more particularly to a kind of Double layer rotating Table top type desks.
Background technology
The double-deck desk floor space is small, it is easier to and the style that family integrally fits up is unified.Newly-married family it is generally possible to obtain
Room all will not be very big, such case does not have big variation in a short time, in this way purchase furniture when cannot not consider
Not only easy to use, but also space consuming feature few as possible, and the double-deck desk exactly have the characteristics that it is this.Divide and several single-piece men are made
Tool, will account for 3-4 square metres of area, and be combined into suite of furniture, then can account for 1.5~2 square metres of area less.Select suspension type
Composite furniture can not also take up an area face and make full use of space.
Invention content
In order to solve the technical issues of current Double layer rotating Table top type desk hardware resource is underused, the present invention provides
A kind of Double layer rotating Table top type desk, can integrate effective on-site supervision machine on existing double-layered desktop hardware platform
System, to avoid the waste of hardware resource, to be implemented in this, using the domain identification mechanism of standard deviation and using based on adaptive
The image enhancement mechanism for answering pattern effectively improves the efficiency and effect of image procossing;The enhanced image in edge is carried out only
For the adaptive-filtering processing that the intensive region of the noise profile is filtered, in filter effect and filtering operation amount
Between reach balance, meanwhile, the help of the background segment pattern of customization obtains effective region to be identified;It is more than pre- by region area
If the dust area of area threshold is as dust suspicious region, and the area for counting one or more of dust suspicious regions is total
With, determine that the area summation occupies the ratio of the high-definition image area, it is accumulative when the ratio transfinites, to send out dust
Signal, to carry out corresponding dust removal operation.
According to an aspect of the present invention, a kind of Double layer rotating Table top type desk is provided, the system comprises:
Double-layered desktop, including upper layer rotating table top and lower layer's rotating table top, the top of lower layer's rotating table top with it is described
The bottom of upper layer rotating table top connects, and the bottom of lower layer's rotating table top and the supporting rack of desk body connect.
More specifically, in the Double layer rotating Table top type desk, further include:
MMC storage devices are connect with the first analyzing device and the second analyzing device respectively, for storing default dust gray scale
Region and preset area threshold value, the default dust gray areas include under default dust gray scale upper limit value and default dust gray scale
Limit value;High-definition camera, for being shot to environment where double-layered desktop, to obtain and export corresponding high definition ambient image.
More specifically, in the Double layer rotating Table top type desk, further include:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the high definition ambient image, to the height
Clear ambient image executes following parsing action:The each gray value for obtaining each pixel in the high definition ambient image, will be grey
Angle value falls the pixel in default dust gray areas as dust pixel, by each ash in the high definition ambient image
Dirt pixel is fitted to obtain one or more dust areas;First analyzing device is additionally operable to
The dust area of preset area threshold value exports one or more of high definition ambient image dust as dust suspicious region
Suspicious region;Second analyzing device is connect with the domain identification equipment, for receiving one in the high definition ambient image
Or multiple dust suspicious regions, determine the area of each dust suspicious region, and it is suspicious to count one or more of dusts
The area summation in region determines that the area summation occupies the ratio of the high definition ambient image area, with super in the ratio
In limited time, dust accumulated signal is sent out, second analyzing device is additionally operable to occupy the high definition environment map in the area summation
When the ratio of image planes product does not transfinite, dust normal signal is sent out;Directional process equipment is connect with second analyzing device, if
It sets above the camera lens of the high-definition camera, for when receiving the dust accumulated signal, using total with the area
Automated cleaning processing is carried out to the camera lens of the high-definition camera with corresponding cleaning dynamics, is additionally operable to receiving the dust
When normal signal, terminate to handle the automated cleaning that the camera lens of the high-definition camera carries out;Edge strengthening equipment, with the height
Clear camera connection executes edge strengthening processing, to obtain for receiving the high definition ambient image to the high definition ambient image
Corresponding edge strengthening image is obtained, and exports the edge strengthening image;Adaptive-filtering equipment, with the edge strengthening equipment
Connection is executed for receiving the edge strengthening image, and to the edge strengthening image based in the edge strengthening image
The adaptive-filtering of noise profile situation is handled, to obtain simultaneously output adaptive filtering image;First parameter analyzing device, with institute
State the connection of adaptive-filtering equipment, for receiving the adaptive-filtering image, the pixel based on the adaptive-filtering image
The pixel value distribution situation of point determines the content uniformity coefficient of the adaptive-filtering image, and exports the uniform journey of the content
Degree;Second parameter analyzing device, for receiving the adaptive-filtering image, the pixel based on the adaptive-filtering image
Pixel value DYNAMIC DISTRIBUTION range determine the content readability of the adaptive-filtering image, and export the clear journey of the content
Degree;Third parameter analyzing device detects the comparison of the adaptive-filtering image for receiving the adaptive-filtering image
Degree, and export the contrast;Extracted region equipment, respectively with the first parameter analyzing device, the second parameter analyzing device
It is connected with third parameter analyzing device, for receiving the content uniformity coefficient, the content readability and the comparison
Degree is determined to its influence coefficient to image segmentation threshold based on the content uniformity coefficient, is based on the content readability
It determines to its influence coefficient to image segmentation threshold, is determined to its influence system to image segmentation threshold based on the contrast
Number, be additionally operable to influences coefficient based on described three kinds simultaneously corrects image segmentation threshold, and based on the image after correction point
It cuts threshold value to be split the adaptive-filtering image, to obtain and export the region to be identified for being detached from background;Image erosion
Equipment is connect with the extracted region equipment, corresponding to obtain for carrying out Image erosion processing to the region to be identified
Corrosion image;Image expansion equipment is connect with described image etching apparatus, for being carried out at Image erosion to the corrosion image
Reason, to obtain corresponding expanding image;Gray value analytical equipment is connect with described image bloating plant, described swollen for receiving
Swollen image, the standard deviation for executing gray value respectively to each region of the expanding image detect, to obtain each region difference
Corresponding each standard deviation;Area processing apparatus is connect with the gray value analytical equipment, for receiving each of each region
Standard deviation calculates the mean value of each standard deviation of each region, is more than the region of limitation by the distance of standard deviation to the mean value
As identification region, the image enhancement processing based on its signal-to-noise ratio is executed to each identification region, to obtain corresponding enhancing
Region, the area processing apparatus is additionally operable to that each identification region will be deleted in the expanding image, and correspondingly fills into each
Enhance region, to obtain corresponding regional processing image;State verification equipment is connect with the area processing apparatus, and setting exists
The bottom of lower layer's rotating table top obtains each in the regional processing image for receiving the regional processing image
The brightness value of pixel, the pixel that brightness value is less than or equal to smog luminance threshold determine the area as smog pixel
Domain handles the quantity of the smog pixel in image as the first quantity, to determine whole pixels in the regional processing image
The quantity of point is as the second quantity, by first quantity divided by the second quantity to obtain proportional numerical value, when the proportional numerical value
When transfiniting, smog alarm signal is sent out.
More specifically, in the Double layer rotating Table top type desk:In the object acquisition equipment, when the proportional numbers
When value does not transfinite, smog normal signal is sent out.
More specifically, in the Double layer rotating Table top type desk:It is described to use and institute in the directional process equipment
State the corresponding cleaning dynamics of area summation includes to the camera lens progress automated cleaning processing of the high-definition camera:The area is total
Bigger, the cleaning dynamics that automated cleaning processing is carried out to the high-definition camera is bigger.
More specifically, in the Double layer rotating Table top type desk:The default dust gray scale upper limit value is less than described pre-
If dust gray scale lower limiting value, the value of the default dust gray scale upper limit value and the default dust gray scale lower limiting value is in 0-125
Between.
More specifically, in the Double layer rotating Table top type desk:In the adaptive-filtering equipment, to the edge
Strengthening adaptive-filtering processing of the image execution based on noise profile situation in the edge strengthening image includes:Detect the side
Edge strengthens the densely distributed region of noise in image, is filtered just for the intensive region of the noise profile.
More specifically, in the Double layer rotating Table top type desk:In the gray value analytical equipment, to the expansion
Each region of image execute respectively gray value standard deviation detection include:For each region, each of the region is extracted
The gray value of the gray value of a pixel, each pixel based on the region calculates the standard deviation in the region.
More specifically, in the Double layer rotating Table top type desk:In the area processing apparatus, the letter of identification region
It makes an uproar than smaller, the amplitude of the image enhancement processing executed to it is bigger.
Specific implementation mode
The embodiment of the Double layer rotating Table top type desk of the present invention will be described in detail below.
The double-deck desk designs more material saving, makes simpler.It is mortise mostly the antique traditional furniture generally used in China at present
The frame-type furniture of structure wastes material although this furniture is secured, makes also more complex.With furniture make industrialization,
This furniture is possible to gradually to be eliminated.Combination desk is then different, it is that the different furniture of several functions is integrated, system
The metal component that some connections need to be added when being used as, can save many supports, column, wall, top plate and bottom plate.
In order to overcome above-mentioned deficiency, the present invention to build a kind of Double layer rotating Table top type desk, can effectively solve the problem that corresponding
The technical issues of.
The Double layer rotating Table top type desk shown according to an embodiment of the present invention includes:
Double-layered desktop, including upper layer rotating table top and lower layer's rotating table top, the top of lower layer's rotating table top with it is described
The bottom of upper layer rotating table top connects, and the bottom of lower layer's rotating table top and the supporting rack of desk body connect.
Then, continue that the concrete structure of the Double layer rotating Table top type desk of the present invention is further detailed.
In the Double layer rotating Table top type desk, further include:
MMC storage devices are connect with the first analyzing device and the second analyzing device respectively, for storing default dust gray scale
Region and preset area threshold value, the default dust gray areas include under default dust gray scale upper limit value and default dust gray scale
Limit value;
High-definition camera, for being shot to environment where double-layered desktop, to obtain and export corresponding high definition ambient image.
In the Double layer rotating Table top type desk, further include:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the high definition ambient image, to the height
Clear ambient image executes following parsing action:The each gray value for obtaining each pixel in the high definition ambient image, will be grey
Angle value falls the pixel in default dust gray areas as dust pixel, by each ash in the high definition ambient image
Dirt pixel is fitted to obtain one or more dust areas;First analyzing device is additionally operable to
The dust area of preset area threshold value exports one or more of high definition ambient image dust as dust suspicious region
Suspicious region;
Second analyzing device is connect with the domain identification equipment, for receiving one in the high definition ambient image
Or multiple dust suspicious regions, determine the area of each dust suspicious region, and it is suspicious to count one or more of dusts
The area summation in region determines that the area summation occupies the ratio of the high definition ambient image area, with super in the ratio
In limited time, dust accumulated signal is sent out, second analyzing device is additionally operable to occupy the high definition environment map in the area summation
When the ratio of image planes product does not transfinite, dust normal signal is sent out;
Directional process equipment connect with second analyzing device, is arranged above the camera lens of the high-definition camera, uses
In when receiving the dust accumulated signal, using cleaning dynamics corresponding with the area summation to the high-definition camera
Camera lens carry out automated cleaning processing, be additionally operable to when receiving the dust normal signal, terminate to the high-definition camera
Camera lens carry out automated cleaning processing;
Edge strengthening equipment is connect with the high-definition camera, for receiving the high definition ambient image, to the high definition
Ambient image executes edge strengthening processing, to obtain corresponding edge strengthening image, and exports the edge strengthening image;
Adaptive-filtering equipment is connect with the edge strengthening equipment, for receiving the edge strengthening image, and to institute
It states edge strengthening image and executes the adaptive-filtering processing based on noise profile situation in the edge strengthening image, to obtain simultaneously
Output adaptive filtering image;
First parameter analyzing device is connect with the adaptive-filtering equipment, for receiving the adaptive-filtering image,
Determine that the content of the adaptive-filtering image is equal based on the pixel value distribution situation of the pixel of the adaptive-filtering image
Even degree, and export the content uniformity coefficient;
Second parameter analyzing device, for receiving the adaptive-filtering image, based on the adaptive-filtering image
The pixel value DYNAMIC DISTRIBUTION range of pixel determines the content readability of the adaptive-filtering image, and exports the content
Readability;
Third parameter analyzing device detects the adaptive-filtering image for receiving the adaptive-filtering image
Contrast, and export the contrast;
Extracted region equipment, respectively with the first parameter analyzing device, the second parameter analyzing device and third parameter solution
Desorption device connects, for receiving the content uniformity coefficient, the content readability and the contrast, in described
Hold uniformity coefficient to determine to its influence coefficient to image segmentation threshold, be determined to it to image based on the content readability
The influence coefficient of segmentation threshold is determined to its influence coefficient to image segmentation threshold based on the contrast, is additionally operable to be based on
It is described three kinds influence coefficient simultaneously image segmentation threshold is corrected, and based on the image segmentation threshold after correction to it is described from
Adaptive filtering image is split, to obtain and export the region to be identified for being detached from background;
Image erosion equipment is connect with the extracted region equipment, for carrying out Image erosion to the region to be identified
Processing, to obtain corresponding corrosion image;
Image expansion equipment is connect with described image etching apparatus, for being carried out at Image erosion to the corrosion image
Reason, to obtain corresponding expanding image;
Gray value analytical equipment is connect with described image bloating plant, for receiving the expanding image, to the expansion
Each region of image executes the standard deviation detection of gray value respectively, to obtain the corresponding each standard deviation in each region;
Area processing apparatus is connect with the gray value analytical equipment, each standard deviation for receiving each region, meter
The mean value for calculating each standard deviation of each region, the region using the distance of standard deviation to the mean value more than limitation is as cog region
Domain executes the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing region, the area to each identification region
Domain processing equipment is additionally operable to that each identification region will be deleted in the expanding image, and correspondingly fills into each enhancing region, with
Obtain corresponding regional processing image;
State verification equipment is connect with the area processing apparatus, is arranged in the bottom of lower layer's rotating table top, is used for
The regional processing image is received, the brightness value of each pixel in the regional processing image is obtained, brightness value is less than
Equal to smog luminance threshold pixel as smog pixel, determine the number of the smog pixel in the regional processing image
Amount is as the first quantity, to determine that the quantity of whole pixels in the regional processing image, will be described as the second quantity
First quantity divided by the second quantity, when the proportional numerical value transfinites, send out smog alarm signal to obtain proportional numerical value.
In the Double layer rotating Table top type desk:In the object acquisition equipment, when the proportional numerical value does not transfinite
When, send out smog normal signal.
In the Double layer rotating Table top type desk:It is described using total with the area in the directional process equipment
Carrying out automated cleaning processing to the camera lens of the high-definition camera with corresponding cleaning dynamics includes:The area summation is bigger,
The cleaning dynamics that automated cleaning processing is carried out to the high-definition camera is bigger.
In the Double layer rotating Table top type desk:The default dust gray scale upper limit value is less than the default dust gray scale
The value of lower limiting value, the default dust gray scale upper limit value and the default dust gray scale lower limiting value is between 0-125.
In the Double layer rotating Table top type desk:In the adaptive-filtering equipment, to the edge strengthening image
Executing the adaptive-filtering processing based on noise profile situation in the edge strengthening image includes:Detect the edge strengthening figure
The intensive region of noise profile, is filtered just for the intensive region of the noise profile as in.
In the Double layer rotating Table top type desk:In the gray value analytical equipment, to each of the expanding image
A region execute respectively gray value standard deviation detection include:For each region, each pixel in the region is extracted
Gray value, the gray value of each pixel based on the region calculates the standard deviation in the region.
And in the Double layer rotating Table top type desk:In the area processing apparatus, the signal-to-noise ratio of identification region
Smaller, the amplitude of the image enhancement processing executed to it is bigger.
In addition, in the Double layer rotating Table top type desk:DDR chips can be used and replace the MMC storage devices.DDR
=Double Data Rate Double Data Rate synchronous DRAMs.Strictly speaking DDR should be DDR SDRAM, people
Custom is known as DDR, wherein SDRAM is the abbreviation of Synchronous Dynamic Random Access Memory, i.e., synchronous
Dynamic random access memory.And DDR SDRAM are the abbreviations of Double Data Rate SDRAM, it is dynamic to be that Double Data Rate synchronizes
The meaning of state random access memory.DDR memories develop on the basis of sdram memory, still continue to use SDRAM production bodies
System, therefore for memory manufacturer, only the equipment for manufacturing common SDRAM need to slightly be improved, you can realize the life of DDR memories
Production, can effectively reduce cost.
Double Data Rate:Compared with traditional single data rate, DDR technologies realize in a clock cycle into
Row read/write operation twice, i.e., execute a read/write operation respectively in the rising edge of clock and failing edge.
Double layer rotating Table top type desk using the present invention, can not be real for Double layer rotating Table top type desk in the prior art
The technical issues of existing on-site supervision, by the way that effective on-site supervision machine can be integrated on existing double-layered desktop hardware platform
System, to avoid the waste of hardware resource, to be implemented in this, using the domain identification mechanism of standard deviation and using based on adaptive
The image enhancement mechanism for answering pattern effectively improves the efficiency and effect of image procossing;The enhanced image in edge is carried out only
For the adaptive-filtering processing that the intensive region of the noise profile is filtered, in filter effect and filtering operation amount
Between reach balance, meanwhile, the help of the background segment pattern of customization obtains effective region to be identified;It is more than pre- by region area
If the dust area of area threshold is as dust suspicious region, and the area for counting one or more of dust suspicious regions is total
With, determine that the area summation occupies the ratio of the high-definition image area, it is accumulative when the ratio transfinites, to send out dust
Signal, to carry out corresponding dust removal operation, 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, every content without departing from technical solution of the present invention is 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 Double layer rotating Table top type desk, which is characterized in that the desk includes:
Double-layered desktop, including upper layer rotating table top and lower layer's rotating table top, top and the upper layer of lower layer's rotating table top
The bottom of rotating table top connects, and the bottom of lower layer's rotating table top and the supporting rack of desk body connect.
2. Double layer rotating Table top type desk as described in claim 1, which is characterized in that the system also includes:
MMC storage devices are connect with the first analyzing device and the second analyzing device respectively, for storing default dust gray areas
With preset area threshold value, the default dust gray areas includes default dust gray scale upper limit value and default dust gray scale lower limit
Value;
High-definition camera, for being shot to environment where double-layered desktop, to obtain and export corresponding high definition ambient image.
3. Double layer rotating Table top type desk as claimed in claim 2, which is characterized in that the system also includes:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the high definition ambient image, to the high definition ring
Border image executes following parsing action:The each gray value for obtaining each pixel in the high definition ambient image, by gray value
The pixel in default dust gray areas is fallen as dust pixel, by each dust picture in the high definition ambient image
Vegetarian refreshments is fitted to obtain one or more dust areas;First analyzing device is additionally operable to region area be more than default
It is suspicious to export one or more of high definition ambient image dust as dust suspicious region for the dust area of area threshold
Region;
Second analyzing device is connect with the domain identification equipment, for receiving one or more in the high definition ambient image
A dust suspicious region, determines the area of each dust suspicious region, and counts one or more of dust suspicious regions
Area summation, determine that the area summation occupies the ratio of the high definition ambient image area, with when the ratio transfinites,
Dust accumulated signal is sent out, second analyzing device is additionally operable to occupy the high definition ambient image area in the area summation
Ratio when not transfiniting, send out dust normal signal;
Directional process equipment connect with second analyzing device, is arranged above the camera lens of the high-definition camera, is used for
When receiving the dust accumulated signal, using cleaning dynamics corresponding with the area summation to the mirror of the high-definition camera
Head carries out automated cleaning processing, is additionally operable to when receiving the dust normal signal, terminates the mirror to the high-definition camera
The automated cleaning processing that head carries out;
Edge strengthening equipment is connect with the high-definition camera, for receiving the high definition ambient image, to the high definition environment
Image executes edge strengthening processing, to obtain corresponding edge strengthening image, and exports the edge strengthening image;
Adaptive-filtering equipment is connect with the edge strengthening equipment, for receiving the edge strengthening image, and to the side
Edge strengthens image and executes the adaptive-filtering processing based on noise profile situation in the edge strengthening image, to obtain and export
Adaptive-filtering image;
First parameter analyzing device is connect with the adaptive-filtering equipment, for receiving the adaptive-filtering image, is based on
The pixel value distribution situation of the pixel of the adaptive-filtering image determines the uniform journey of content of the adaptive-filtering image
Degree, and export the content uniformity coefficient;
Second parameter analyzing device, for receiving the adaptive-filtering image, the pixel based on the adaptive-filtering image
The pixel value DYNAMIC DISTRIBUTION range of point determines the content readability of the adaptive-filtering image, and it is clear to export the content
Degree;
Third parameter analyzing device detects the comparison of the adaptive-filtering image for receiving the adaptive-filtering image
Degree, and export the contrast;
Extracted region equipment is set with the parsing of the first parameter analyzing device, the second parameter analyzing device and third parameter respectively
Standby connection, it is equal based on the content for receiving the content uniformity coefficient, the content readability and the contrast
Even degree is determined to its influence coefficient to image segmentation threshold, is determined to it to image segmentation based on the content readability
The influence coefficient of threshold value is determined based on the contrast to its influence coefficient to image segmentation threshold, is additionally operable to based on described
Three kinds influence coefficient and are corrected simultaneously to image segmentation threshold, and based on the image segmentation threshold after correction to described adaptive
Filtering image is split, to obtain and export the region to be identified for being detached from background;
Image erosion equipment is connect with the extracted region equipment, for carrying out Image erosion processing to the region to be identified,
To obtain corresponding corrosion image;
Image expansion equipment is connect with described image etching apparatus, for carrying out Image erosion processing to the corrosion image, with
Obtain corresponding expanding image;
Gray value analytical equipment is connect with described image bloating plant, for receiving the expanding image, to the expanding image
Each region execute respectively gray value standard deviation detection, to obtain the corresponding each standard deviation in each region;
Area processing apparatus is connect with the gray value analytical equipment, each standard deviation for receiving each region, is calculated each
The mean value of each standard deviation in a region, using the distance of standard deviation to the mean value be more than limitation region as identification region,
Image enhancement processing based on its signal-to-noise ratio is executed to each identification region, to obtain corresponding enhancing region, the region
Processing equipment is additionally operable to that each identification region will be deleted in the expanding image, and correspondingly fills into each enhancing region, to obtain
Obtain corresponding regional processing image;
State verification equipment is connect with the area processing apparatus, is arranged in the bottom of lower layer's rotating table top, for receiving
The regional processing image obtains the brightness value of each pixel in the regional processing image, brightness value is less than or equal to
The pixel of smog luminance threshold as smog pixel, determine the quantity of the smog pixel in the regional processing image with
As the first quantity, the quantity of whole pixels in the regional processing image is determined as the second quantity, by described first
Quantity divided by the second quantity, when the proportional numerical value transfinites, send out smog alarm signal to obtain proportional numerical value.
4. Double layer rotating Table top type desk as claimed in claim 3, it is characterised in that:
In the object acquisition equipment, when the proportional numerical value does not transfinite, smog normal signal is sent out.
5. Double layer rotating Table top type desk as claimed in claim 4, it is characterised in that:
It is described to use cleaning dynamics corresponding with the area summation to the high-definition camera in the directional process equipment
Camera lens carry out automated cleaning processing include:The area summation is bigger, and automated cleaning processing is carried out to the high-definition camera
Cleaning dynamics it is bigger.
6. Double layer rotating Table top type desk as claimed in claim 5, it is characterised in that:
The default dust gray scale upper limit value be less than the default dust gray scale lower limiting value, the default dust gray scale upper limit value and
The value of the default dust gray scale lower limiting value is between 0-125.
7. Double layer rotating Table top type desk as claimed in claim 6, it is characterised in that:
In the adaptive-filtering equipment, the edge strengthening image is executed based on noise point in the edge strengthening image
The adaptive-filtering of cloth situation is handled:The densely distributed region of the edge strengthening noise in image is detected, just for institute
The intensive region of noise profile is stated to be filtered.
8. Double layer rotating Table top type desk as claimed in claim 7, it is characterised in that:
In the gray value analytical equipment, the standard deviation for executing gray value respectively to each region of the expanding image detects
Including:For each region, the gray value of each pixel in the region is extracted, each pixel based on the region
Gray value calculate the standard deviation in the region.
9. Double layer rotating Table top type desk as claimed in claim 8, it is characterised in that:
In the area processing apparatus, the signal-to-noise ratio of identification region is smaller, and the amplitude of the image enhancement processing executed to it is got over
Greatly.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526477.1A CN108805881A (en) | 2018-05-29 | 2018-05-29 | Double layer rotating Table top type desk |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526477.1A CN108805881A (en) | 2018-05-29 | 2018-05-29 | Double layer rotating Table top type desk |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108805881A true CN108805881A (en) | 2018-11-13 |
Family
ID=64090699
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810526477.1A Withdrawn CN108805881A (en) | 2018-05-29 | 2018-05-29 | Double layer rotating Table top type desk |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108805881A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109448669A (en) * | 2018-12-26 | 2019-03-08 | 宁波迪比亿贸易有限公司 | Automate butterfly shape dulcimer |
CN109540916A (en) * | 2018-12-04 | 2019-03-29 | 林丽 | Hearth soil level detection system |
CN109526358A (en) * | 2018-12-07 | 2019-03-29 | 宁波可凡电器有限公司 | Soil occupies proportion grading system |
CN109556158A (en) * | 2018-12-04 | 2019-04-02 | 李珊珍 | Arc smoking machine based on dust detection |
CN109601108A (en) * | 2018-12-07 | 2019-04-12 | 宁波可凡电器有限公司 | It can carry out formula grass mower |
CN109717722A (en) * | 2018-11-14 | 2019-05-07 | 宁波旭磊电子科技有限公司 | Multifunctional monitoring type grill pan |
CN109717721A (en) * | 2018-11-14 | 2019-05-07 | 宁波旭磊电子科技有限公司 | Electric hot tray output power platform |
CN109758092A (en) * | 2019-03-21 | 2019-05-17 | 张俊 | Medical Devices on-site maintenance mechanism |
CN110634013A (en) * | 2019-05-20 | 2019-12-31 | 曹红娟 | Auxiliary advertisement data analysis system |
CN111238119A (en) * | 2018-11-28 | 2020-06-05 | 宁波泽锦电器科技有限公司 | Desk type freezer based on food sufficiency detection |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101019419A (en) * | 2004-09-13 | 2007-08-15 | 佳能株式会社 | Image sensing apparatus and control method therefor |
CN104532415A (en) * | 2015-01-12 | 2015-04-22 | 王芳 | Detection alarm system for wool comber last web in spinning workshop |
CN106798398A (en) * | 2016-12-14 | 2017-06-06 | 天津市耐特家具有限公司 | A kind of lazy Susan |
CN106923531A (en) * | 2015-12-31 | 2017-07-07 | 王青波 | A kind of rotary book shelf table |
US9727954B2 (en) * | 2014-08-05 | 2017-08-08 | Seek Thermal, Inc. | Local contrast adjustment for digital images |
-
2018
- 2018-05-29 CN CN201810526477.1A patent/CN108805881A/en not_active Withdrawn
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101019419A (en) * | 2004-09-13 | 2007-08-15 | 佳能株式会社 | Image sensing apparatus and control method therefor |
US9727954B2 (en) * | 2014-08-05 | 2017-08-08 | Seek Thermal, Inc. | Local contrast adjustment for digital images |
CN104532415A (en) * | 2015-01-12 | 2015-04-22 | 王芳 | Detection alarm system for wool comber last web in spinning workshop |
CN106923531A (en) * | 2015-12-31 | 2017-07-07 | 王青波 | A kind of rotary book shelf table |
CN106798398A (en) * | 2016-12-14 | 2017-06-06 | 天津市耐特家具有限公司 | A kind of lazy Susan |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109717722A (en) * | 2018-11-14 | 2019-05-07 | 宁波旭磊电子科技有限公司 | Multifunctional monitoring type grill pan |
CN109717721A (en) * | 2018-11-14 | 2019-05-07 | 宁波旭磊电子科技有限公司 | Electric hot tray output power platform |
CN111238119A (en) * | 2018-11-28 | 2020-06-05 | 宁波泽锦电器科技有限公司 | Desk type freezer based on food sufficiency detection |
CN109540916A (en) * | 2018-12-04 | 2019-03-29 | 林丽 | Hearth soil level detection system |
CN109556158A (en) * | 2018-12-04 | 2019-04-02 | 李珊珍 | Arc smoking machine based on dust detection |
CN109556158B (en) * | 2018-12-04 | 2020-12-15 | 义乌市优创知识产权运营有限公司 | Arc-shaped smoking machine based on dust detection |
CN109526358A (en) * | 2018-12-07 | 2019-03-29 | 宁波可凡电器有限公司 | Soil occupies proportion grading system |
CN109601108A (en) * | 2018-12-07 | 2019-04-12 | 宁波可凡电器有限公司 | It can carry out formula grass mower |
CN109601108B (en) * | 2018-12-07 | 2020-09-04 | 舒城县文禾种植专业合作社 | Pushing type grass mower |
CN109448669A (en) * | 2018-12-26 | 2019-03-08 | 宁波迪比亿贸易有限公司 | Automate butterfly shape dulcimer |
CN109758092A (en) * | 2019-03-21 | 2019-05-17 | 张俊 | Medical Devices on-site maintenance mechanism |
CN110634013A (en) * | 2019-05-20 | 2019-12-31 | 曹红娟 | Auxiliary advertisement data analysis system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108805881A (en) | Double layer rotating Table top type desk | |
CN106251352B (en) | A kind of cover defect inspection method based on image procossing | |
US9946378B2 (en) | Noise reduction method and system for touch detection device | |
CN101087365B (en) | A method for filtering image mixed noise | |
CN101738394B (en) | Method and system for detecting indoor smog | |
CN109187581A (en) | The bearing finished products plate defects detection method of view-based access control model | |
CN103279921B (en) | A kind of image embedded processing systems and low-light (level) image luminous point obtain and localization method | |
CN109889820A (en) | Detection method, device, storage medium and the terminal of binocular camera mould group | |
CN106412573A (en) | Method and device for detecting lens stain | |
US10984228B2 (en) | Interaction behavior detection method, apparatus, system, and device | |
CN113781482B (en) | Method and system for detecting crack defects of mechanical parts in complex environment | |
CN114219794B (en) | Method and system for evaluating surface quality of shaving board based on machine vision | |
CN115375914A (en) | Improved target detection method and device based on Yolov5 target detection model and storage medium | |
CN106651831A (en) | Bamboo piece defect detection method and bamboo piece defect detection system | |
CN106157253B (en) | Image processing apparatus and image processing method | |
CN107360435B (en) | Blockiness detection methods, block noise filtering method and device | |
CN111105386B (en) | Coarse aggregate quality image processing and analyzing method based on mobile equipment | |
CN109242857A (en) | A kind of application method of Double layer rotating Table top type desk | |
CN107862689A (en) | Leather surface substantially damaged automatic identifying method and computer-readable recording medium | |
CN115100654A (en) | Water level identification method and device based on computer vision algorithm | |
CN106097371A (en) | A kind of flaw detection method and system | |
US8554008B2 (en) | Anti-aliasing system and method | |
CN108769584A (en) | A method of the on-site supervision based on desk main body | |
CN100353381C (en) | Image inspecting apparatus, image inspecting method, control program and computer-readable storage medium | |
CN109255789B (en) | Image segmentation system based on computer processing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20181113 |