CN109907535A - Corner bookcase based on worm analysis - Google Patents
Corner bookcase based on worm analysis Download PDFInfo
- Publication number
- CN109907535A CN109907535A CN201810837099.9A CN201810837099A CN109907535A CN 109907535 A CN109907535 A CN 109907535A CN 201810837099 A CN201810837099 A CN 201810837099A CN 109907535 A CN109907535 A CN 109907535A
- Authority
- CN
- China
- Prior art keywords
- image
- bookcase
- worm
- corner
- 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- Withdrawn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
Landscapes
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of corner bookcases based on worm analysis, comprising: corner bookcase framework is L-type body, is made of two cabinet bodies, the transverse width of each cabinet body reaches between 1000-2000mm；Pixel analytical equipment, it is connect with real time operation equipment, for receiving real time operation image, all pixels point of the pixel gray value in the real time operation image in worm intensity value ranges is formed into worm subgraph, when the sum of the pixel occupied by the worm subgraph is more than or equal to presetted pixel point quantity, issue that there are worm signals；When the sum that the pixel analytical equipment is also used to the pixel occupied by the worm subgraph is less than the presetted pixel point quantity, issues and worm signal is not present.By means of the invention it is possible to realize the self monitor to corner bookcase internal environment.
Description
Technical field
The present invention relates to corner bookcase field more particularly to a kind of corner bookcases based on worm analysis.
Background technique
What corner bookcase can be designed using the corner inside room, corner bookcase can save many skies to room
Between, while one of beautiful scenery can also be increased to room.Bookshelf becoming together with desk computer desk cross-patch
Cross desk, it is exactly that design is very flexible, and desk and computer desk are extended from bookshelf that cross desk, which has a feature,
, the design of text shape has just been used, it is relatively more succinct.
Summary of the invention
In order to solve the technical issues of corner bookcase is corroded vulnerable to worm, the present invention provides one kind to be analyzed based on worm
Corner bookcase, identify each target shape in image to determine the edge line distribution situation in image, and based on described
Edge line distribution situation carries out instant sharpening operation to image；High-precision image letter is carried out to the enhanced image of contrast
Change processing is convenient for subsequent image recognition and image detection to obtain image to be analyzed；It is more than preset area by region area
The dust area of threshold value counts the area summation of one or more of dust suspicious regions as dust suspicious region, really
The fixed area summation occupies the ratio of the high-definition image area, when the ratio transfinites, to issue the accumulative letter of dust
Number, to carry out corresponding dust removal operation, and on the basis of above-mentioned data processing, realize to worm inside corner bookcase framework
High-precision identification.
According to an aspect of the present invention, a kind of corner bookcase based on worm analysis, the corner bookcase packet are provided
It includes:
Corner bookcase framework is L-type body, is made of two cabinet bodies, the transverse width of each cabinet body reaches in 1000-
Between 2000mm；MMC stores equipment, connect respectively with the first analyzing device and the second analyzing device, for storing default dust
Gray areas and preset area threshold value, the default dust gray areas include default dust gray scale upper limit value and default dust
Gray scale lower limit value；Hemisphere picture pick-up device, to being shot inside corner bookcase framework, for exporting corresponding bookcase interior view
Picture；Contrast enhances equipment, connect with the hemisphere picture pick-up device, for receiving the bookcase internal image, to the book
Cabinet internal image executes contrast enhancement processing, to obtain contrast enhancing image, and exports the contrast enhancing image；
First noise control equipment is connect with contrast enhancing equipment, for receiving the contrast enhancing image, to described
Contrast enhances image and carries out noise type analysis, to obtain in contrast enhancing image various noise types and every
A kind of corresponding maximum amplitude of noise type；Second noise control equipment connect with first noise control equipment, is used for
Various noise types and the corresponding maximum amplitude of each noise type in the contrast enhancing image are received, based on most
The sequence from big to small of amplitude is ranked up the various noise types, by serial number first three three kinds of noise types make
For three kinds of noise type outputs to be processed；Weight analysis equipment is connect, for receiving with second noise control equipment
Three kinds of noise types to be processed are stated, determine that three kinds of noise types to be processed are right respectively based on the type weight table of comparisons
Three weighing factors answered, and repairing in order is carried out to the initialization binarization threshold using three weighing factors
Positive processing, to obtain the amendment threshold value after correcting process, and exports the amendmentization threshold value；Image simplification equipment, with
The weight analysis equipment connection, for receiving the amendmentization threshold value, increases the contrast using the amendmentization threshold value
Strong image executes binary conversion treatment, to obtain image to be analyzed, and exports the image to be analyzed；Nonlinear filtering wave device, with
Described image simplifies equipment connection, for receiving the image to be analyzed, executes nonlinear filtering figure to the image to be analyzed
Picture, to obtain and export corresponding nonlinear filtering image；Lines measuring device is connect with the nonlinear filtering wave device,
For receiving the nonlinear filtering image, each edge line in the nonlinear filtering image is detected, to obtain
Edge line quantity in the nonlinear filtering image, and the edge line quantity in the nonlinear filtering image is less than
When preset quantity threshold value, sending is not required to sharpening information, and the edge line quantity being also used in the nonlinear filtering image is more than
When preset quantity threshold value, issues and sharpen triggering information；Real time operation equipment is connect with the lines measuring device, is used for
When receiving the sharpening triggering information, start the real-time Edge contrast to the nonlinear filtering image, it is corresponding to obtain
Real time operation image, is also used to when receiving the sharpening triggering information, does not carry out to the nonlinear filtering image real-time
Edge contrast is directly exported the nonlinear filtering image as real time operation image；Pixel analytical equipment, and it is described
The connection of real time operation equipment, for receiving the real time operation image, pixel gray value in the real time operation image is existed
All pixels point in worm intensity value ranges forms worm subgraph, the sum of the pixel occupied by the worm subgraph
When more than or equal to presetted pixel point quantity, there are worm signals for sending.
More specifically, in the corner bookcase based on worm analysis: the pixel analytical equipment is also used to when compacted
When the sum of pixel occupied by insect image is less than the presetted pixel point quantity, issues and worm signal is not present.
More specifically, in the corner bookcase based on worm analysis, further includes:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the bookcase internal image, to described
Bookcase internal image executes following parsing movement: each gray value of each pixel in the bookcase internal image is obtained, it will
Gray value falls in the pixel in default dust gray areas as dust pixel, will be each in the bookcase internal image
A dust pixel is fitted to obtain one or more dust areas；First analyzing device is also used to area surface
Product is more than the dust area of preset area threshold value as dust suspicious region, export one in the bookcase internal image or
Multiple dust suspicious regions.
More specifically, in the corner bookcase based on worm analysis, further includes:
Second analyzing device is connect with the domain identification equipment, for receiving one in the bookcase internal 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 bookcase internal image area, with super in the ratio
In limited time, dust accumulated signal is issued, second analyzing device is also used to occupy the bookcase interior view in the area summation
When the ratio of image planes product does not transfinite, dust normal signal is issued.
More specifically, in the corner bookcase based on worm analysis, further includes:
Directional process equipment connect with second analyzing device, is arranged in above the camera lens of the high-definition camera,
For being taken the photograph to the high definition using cleaning dynamics corresponding with the area summation when receiving the dust accumulated signal
As the camera lens progress automated cleaning processing of head, it is also used to when receiving the dust normal signal, the high definition is taken the photograph in end
The automated cleaning processing carried out as the camera lens of head；It is described to use cleaning dynamics corresponding with the area summation to the high definition
It includes: that the area summation is bigger that the camera lens of camera, which carries out automated cleaning processing, is carried out to the high-definition camera automatic clear
The cleaning dynamics of clean processing is bigger.
More specifically, in the corner bookcase based on worm analysis: the default dust gray scale upper limit value is less than institute
State default dust gray scale lower limit value, the value of the default dust gray scale upper limit value and the default dust gray scale lower limit value exists
Between 0-125.
More specifically, in the corner bookcase based on worm analysis: institute is also stored in advance in the weight analysis equipment
The type weight table of comparisons is stated, the type weight table of comparisons saves each influence of kind noise type to binarization threshold
Weight is also used to be stored in advance initialization binarization threshold.
More specifically, in the corner bookcase based on worm analysis: in the lines measuring device, to described
Each edge line in nonlinear filtering image is detected, to obtain the edge line quantity in the nonlinear filtering image
Include: each target shape identified in the nonlinear filtering image, one or more of each target shape will be formed
A lines are as one or more edge lines.
Specific embodiment
The embodiment of the corner bookcase of the invention based on worm analysis will be described in detail below.
Study space is limited, and corner desk is strictly the small problem in space that can solve.The corner of corner is so encountered,
The benefit of corner desk is that front desk can be exactly bookcase with study and work, side, facilitates and places file books.Corner
Desk bookcase is chiefly used in the corner position processing in space, first is that playing the role of good linking, second is that saving space, is currently to flow
Capable fashionable element.
The utilization of corner desk, reasonable utilization house type feature, is just consistent with wall size, and does not influence to adopt
Light, desk linking are the design of low cabinet and corner bookcase in the past, and high cube container and low cabinet are perfectly engaged togather by corner bookcase,
Make to form an entirety again in entire study spatial variations multiplicity.
In order to overcome above-mentioned deficiency, the present invention has built a kind of corner bookcase based on worm analysis, can effectively solve the problem that
Corresponding technical problem.
Show according to an embodiment of the present invention based on worm analysis corner bookcase include:
Corner bookcase framework is L-type body, is made of two cabinet bodies, the transverse width of each cabinet body reaches in 1000-
Between 2000mm；MMC stores equipment, connect respectively with the first analyzing device and the second analyzing device, for storing default dust
Gray areas and preset area threshold value, the default dust gray areas include default dust gray scale upper limit value and default dust
Gray scale lower limit value；Hemisphere picture pick-up device, to being shot inside corner bookcase framework, for exporting corresponding bookcase interior view
Picture；Contrast enhances equipment, connect with the hemisphere picture pick-up device, for receiving the bookcase internal image, to the book
Cabinet internal image executes contrast enhancement processing, to obtain contrast enhancing image, and exports the contrast enhancing image；
First noise control equipment is connect with contrast enhancing equipment, for receiving the contrast enhancing image, to described
Contrast enhances image and carries out noise type analysis, to obtain in contrast enhancing image various noise types and every
A kind of corresponding maximum amplitude of noise type；Second noise control equipment connect with first noise control equipment, is used for
Various noise types and the corresponding maximum amplitude of each noise type in the contrast enhancing image are received, based on most
The sequence from big to small of amplitude is ranked up the various noise types, by serial number first three three kinds of noise types make
For three kinds of noise type outputs to be processed；Weight analysis equipment is connect, for receiving with second noise control equipment
Three kinds of noise types to be processed are stated, determine that three kinds of noise types to be processed are right respectively based on the type weight table of comparisons
Three weighing factors answered, and repairing in order is carried out to the initialization binarization threshold using three weighing factors
Positive processing, to obtain the amendment threshold value after correcting process, and exports the amendmentization threshold value；Image simplification equipment, with
The weight analysis equipment connection, for receiving the amendmentization threshold value, increases the contrast using the amendmentization threshold value
Strong image executes binary conversion treatment, to obtain image to be analyzed, and exports the image to be analyzed；Nonlinear filtering wave device, with
Described image simplifies equipment connection, for receiving the image to be analyzed, executes nonlinear filtering figure to the image to be analyzed
Picture, to obtain and export corresponding nonlinear filtering image；Lines measuring device is connect with the nonlinear filtering wave device,
For receiving the nonlinear filtering image, each edge line in the nonlinear filtering image is detected, to obtain
Edge line quantity in the nonlinear filtering image, and the edge line quantity in the nonlinear filtering image is less than
When preset quantity threshold value, sending is not required to sharpening information, and the edge line quantity being also used in the nonlinear filtering image is more than
When preset quantity threshold value, issues and sharpen triggering information；Real time operation equipment is connect with the lines measuring device, is used for
When receiving the sharpening triggering information, start the real-time Edge contrast to the nonlinear filtering image, it is corresponding to obtain
Real time operation image, is also used to when receiving the sharpening triggering information, does not carry out to the nonlinear filtering image real-time
Edge contrast is directly exported the nonlinear filtering image as real time operation image；Pixel analytical equipment, and it is described
The connection of real time operation equipment, for receiving the real time operation image, pixel gray value in the real time operation image is existed
All pixels point in worm intensity value ranges forms worm subgraph, the sum of the pixel occupied by the worm subgraph
When more than or equal to presetted pixel point quantity, there are worm signals for sending.
Then, continue that the specific structure of the corner bookcase of the invention based on worm analysis is further detailed.
In the corner bookcase based on worm analysis: the pixel analytical equipment is also used to when worm subgraph
When the sum of occupied pixel is less than the presetted pixel point quantity, issues and worm signal is not present.
In the corner bookcase based on worm analysis, further includes:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the bookcase internal image, to described
Bookcase internal image executes following parsing movement: each gray value of each pixel in the bookcase internal image is obtained, it will
Gray value falls in the pixel in default dust gray areas as dust pixel, will be each in the bookcase internal image
A dust pixel is fitted to obtain one or more dust areas；First analyzing device is also used to area surface
Product is more than the dust area of preset area threshold value as dust suspicious region, export one in the bookcase internal image or
Multiple dust suspicious regions.
In the corner bookcase based on worm analysis, further includes:
Second analyzing device is connect with the domain identification equipment, for receiving one in the bookcase internal 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 bookcase internal image area, with super in the ratio
In limited time, dust accumulated signal is issued, second analyzing device is also used to occupy the bookcase interior view in the area summation
When the ratio of image planes product does not transfinite, dust normal signal is issued.
In the corner bookcase based on worm analysis, further includes:
Directional process equipment connect with second analyzing device, is arranged in above the camera lens of the high-definition camera,
For being taken the photograph to the high definition using cleaning dynamics corresponding with the area summation when receiving the dust accumulated signal
As the camera lens progress automated cleaning processing of head, it is also used to when receiving the dust normal signal, the high definition is taken the photograph in end
The automated cleaning processing carried out as the camera lens of head；It is described to use cleaning dynamics corresponding with the area summation to the high definition
It includes: that the area summation is bigger that the camera lens of camera, which carries out automated cleaning processing, is carried out to the high-definition camera automatic clear
The cleaning dynamics of clean processing is bigger.
In the corner bookcase based on worm analysis: the default dust gray scale upper limit value is less than the default ash
The value of dust degree lower limit value, the default dust gray scale upper limit value and the default dust gray scale lower limit value 0-125 it
Between.
In the corner bookcase based on worm analysis: the type power is also stored in advance in the weight analysis equipment
The weight table of comparisons, the type weight table of comparisons save each kind noise type to the weighing factor of binarization threshold, also use
In initialization binarization threshold is stored in advance.
And in the corner bookcase based on worm analysis: in the lines measuring device, to described non-linear
Each edge line in filtering image is detected, and includes: to know to obtain the edge line quantity in the nonlinear filtering image
Not Chu each target shape in the nonlinear filtering image, one or more lines of each target shape will be formed
As one or more edge lines.
In addition, storing equipment using SDRAM stores equipment to replace the MMC.SDRAM:Synchronous
Dynamic Random Access Memory, synchronous DRAM synchronize when referring to that memory need of work is synchronous
Clock, the transmission of internal order and the transmission of data are all on the basis of him；Dynamic refers to that storage array needs continuous refresh to come
Guarantee that data are not lost；Refer to that data do not store successively not instead of linearly at random, address is freely specified to carry out reading and writing data.SDR
The clock frequency of SDRAM is exactly the frequency of data storage.The operating voltage of SDRAM is 3.3V.
Using the corner bookcase of the invention based on worm analysis, it is difficult to safeguard for corner bookcase in the prior art
Technical problem identifies each target shape in image to determine the edge line distribution situation in image, and is based on the side
Edge line distribution situation carries out instant sharpening operation to image；High-precision image simplification is carried out to the enhanced image of contrast
Processing is convenient for subsequent image recognition and image detection to obtain image to be analyzed；It is more than preset area threshold by region area
The dust area of value counts the area summation of one or more of dust suspicious regions as dust suspicious region, determines
The area summation occupies the ratio of the high-definition image area, to issue dust accumulated signal when the ratio transfinites,
To carry out corresponding dust removal operation, and on the basis of above-mentioned data processing, the height to worm inside corner bookcase framework is realized
Precision identification, 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, technical solution of the present invention ambit is not being departed from
Under, many possible changes and modifications, or modification all are made to technical solution of the present invention using the technology contents of the disclosure above
For the equivalent embodiment of equivalent variations.Therefore, anything that does not depart from the technical scheme of the invention, technology according to the present invention
Essence any simple modifications, equivalents, and modifications made to the above embodiment still fall within technical solution of the present invention protection
In the range of.
Claims (8)
1. a kind of corner bookcase based on worm analysis, the corner bookcase include:
Corner bookcase framework is L-type body, is made of two cabinet bodies, the transverse width of each cabinet body reaches in 1000-2000mm
Between；
MMC stores equipment, connect respectively with the first analyzing device and the second analyzing device, 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；
Hemisphere picture pick-up device, to being shot inside corner bookcase framework, for exporting corresponding bookcase internal image；
Contrast enhances equipment, connect with the hemisphere picture pick-up device, for receiving the bookcase internal image, to the bookcase
Internal image executes contrast enhancement processing, to obtain contrast enhancing image, and exports the contrast enhancing image；
First noise control equipment is connect with contrast enhancing equipment, for receiving the contrast enhancing image, to institute
It states contrast enhancing image and carries out noise type analysis, to obtain in contrast enhancing image various noise types and every
A kind of corresponding maximum amplitude of noise type；
Second noise control equipment is connect with first noise control equipment, for receiving in the contrast enhancing image
Various noise types and the corresponding maximum amplitude of each noise type, the sequence from big to small based on maximum amplitude is to institute
It states various noise types to be ranked up, using serial number, first three three kinds of noise types are exported as three kinds of noise types to be processed；
Weight analysis equipment is connect with second noise control equipment, for receiving three kinds of noise types to be processed, base
Corresponding three weighing factors of described three kinds noise types to be processed are determined in the type weight table of comparisons, and use institute
The correcting process of three weighing factors in order to the initialization binarization threshold progress is stated, after obtaining correcting process
Amendment threshold value, and export the amendmentization threshold value；
Image simplification equipment is connect with the weight analysis equipment, for receiving the amendmentization threshold value, using the amendmentization
Threshold value executes binary conversion treatment to contrast enhancing image, to obtain image to be analyzed, and exports the image to be analyzed；
Nonlinear filtering wave device simplifies equipment with described image and connect, for receiving the image to be analyzed, to described to be analyzed
Image executes nonlinear filtering image, to obtain and export corresponding nonlinear filtering image；
Lines measuring device is connect with the nonlinear filtering wave device, for receiving the nonlinear filtering image, to described non-
Each edge line in linear filtering image is detected, to obtain the edge line quantity in the nonlinear filtering image, and
When edge line quantity in the nonlinear filtering image is less than preset quantity threshold value, sending is not required to sharpening information, also uses
When the edge line quantity in the nonlinear filtering image is more than preset quantity threshold value, issues and sharpen triggering information；
Real time operation equipment is connect with the lines measuring device, for when receiving sharpening triggering information, starting pair
The real-time Edge contrast of the nonlinear filtering image, to obtain corresponding real time operation image, be also used to receive it is described
When sharpening triggering information, real-time Edge contrast is not carried out to the nonlinear filtering image, directly by the nonlinear filtering figure
As being exported as real time operation image；
Pixel analytical equipment is connect with the real time operation equipment, will be described instant for receiving the real time operation image
It operates all pixels point of the pixel gray value in worm intensity value ranges in image and forms worm subgraph, when worm subgraph
When being more than or equal to presetted pixel point quantity as the sum of occupied pixel, there are worm signals for sending.
2. the corner bookcase as described in claim 1 based on worm analysis, it is characterised in that:
The sum that the pixel analytical equipment is also used to work as pixel occupied by worm subgraph is less than the presetted pixel
When point quantity, issues and worm signal is not present.
3. the corner bookcase as claimed in claim 2 based on worm analysis, which is characterized in that the corner bookcase further include:
First analyzing device is connect with the gravimetric analysis equipment, for receiving the bookcase internal image, in the bookcase
Portion's image executes following parsing movement: each gray value of each pixel in the bookcase internal image is obtained, by gray value
The pixel in default dust gray areas is fallen in as dust pixel, by each dust picture in the bookcase internal image
Vegetarian refreshments is fitted to obtain one or more dust areas；First analyzing device is also used to region area be more than default
For the dust area of area threshold as dust suspicious region, the one or more dusts exported in the bookcase internal image are suspicious
Region.
4. the corner bookcase as claimed in claim 3 based on worm analysis, which is characterized in that the corner bookcase further include:
Second analyzing device is connect with the domain identification equipment, for receiving one or more in the bookcase internal 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 bookcase internal image area, with when the ratio transfinites,
Dust accumulated signal is issued, second analyzing device is also used to occupy the bookcase internal image area in the area summation
Ratio when not transfiniting, issue dust normal signal.
5. the corner bookcase as claimed in claim 4 based on worm analysis, which is characterized in that the corner bookcase further include:
Directional process equipment connect with second analyzing device, is arranged in 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 also used to when receiving the dust normal signal, terminates the mirror to the high-definition camera
The automated cleaning processing that head carries out；It is described to use cleaning dynamics corresponding with the area summation to the mirror of the high-definition camera
It includes: that the area summation is bigger that head, which carries out automated cleaning processing, carries out the clear of automated cleaning processing to the high-definition camera
Clean dynamics is bigger.
6. the corner bookcase as claimed in claim 5 based on worm analysis, it is characterised in that:
The default dust gray scale upper limit value be less than the default dust gray scale lower limit value, the default dust gray scale upper limit value and
The value of the default dust gray scale lower limit value is between 0-125.
7. the corner bookcase as claimed in claim 6 based on worm analysis, it is characterised in that:
The type weight table of comparisons is also stored in advance in the weight analysis equipment, and the type weight table of comparisons saves each
A kind of noise type is also used to be stored in advance initialization binarization threshold to the weighing factor of binarization threshold.
8. the corner bookcase as claimed in claim 7 based on worm analysis, it is characterised in that:
In the lines measuring device, each edge line in the nonlinear filtering image is detected, to obtain
Stating the edge line quantity in nonlinear filtering image includes: each target shape identified in the nonlinear filtering image,
One or more lines of each target shape will be formed as one or more edge lines.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810837099.9A CN109907535A (en) | 2018-07-26 | 2018-07-26 | Corner bookcase based on worm analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810837099.9A CN109907535A (en) | 2018-07-26 | 2018-07-26 | Corner bookcase based on worm analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109907535A true CN109907535A (en) | 2019-06-21 |
Family
ID=66959706
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810837099.9A Withdrawn CN109907535A (en) | 2018-07-26 | 2018-07-26 | Corner bookcase based on worm analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109907535A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112741575A (en) * | 2020-01-16 | 2021-05-04 | 刘纪君 | Dishwasher idle disabling system and corresponding terminal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580829A (en) * | 2014-12-25 | 2015-04-29 | 深圳市一体太赫兹科技有限公司 | Terahertz image enhancing method and system |
| CN107212624A (en) * | 2016-03-22 | 2017-09-29 | 哈尔滨金苹果橱柜有限公司 | A kind of folding bookcase |
| CN107545572A (en) * | 2016-06-23 | 2018-01-05 | 爱威科技股份有限公司 | The treating method and apparatus of target in image |
| CN107734222A (en) * | 2017-10-19 | 2018-02-23 | 上海中信信息发展股份有限公司 | Intelligent detecting and reporting pest information system |
| CN207531735U (en) * | 2017-12-04 | 2018-06-26 | 上海中信信息发展股份有限公司 | Intelligent insect pest situation identifies prior-warning device |
-
2018
- 2018-07-26 CN CN201810837099.9A patent/CN109907535A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580829A (en) * | 2014-12-25 | 2015-04-29 | 深圳市一体太赫兹科技有限公司 | Terahertz image enhancing method and system |
| CN107212624A (en) * | 2016-03-22 | 2017-09-29 | 哈尔滨金苹果橱柜有限公司 | A kind of folding bookcase |
| CN107545572A (en) * | 2016-06-23 | 2018-01-05 | 爱威科技股份有限公司 | The treating method and apparatus of target in image |
| CN107734222A (en) * | 2017-10-19 | 2018-02-23 | 上海中信信息发展股份有限公司 | Intelligent detecting and reporting pest information system |
| CN207531735U (en) * | 2017-12-04 | 2018-06-26 | 上海中信信息发展股份有限公司 | Intelligent insect pest situation identifies prior-warning device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112741575A (en) * | 2020-01-16 | 2021-05-04 | 刘纪君 | Dishwasher idle disabling system and corresponding terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11216925B2 (en) | Image processing method, image processing system, and storage medium | |
| CN105095900B (en) | Method and device for extracting specific information in standard card | |
| CN103235949B (en) | Image point of interest detection method and device | |
| CN102592147A (en) | Method and device for detecting human face | |
| CN100576881C (en) | A kind of self-adapting video image zooming engine based on polyphase filter technology | |
| EP1345125A3 (en) | Dynamic random access memory system with bank conflict avoidance feature | |
| CN108805881A (en) | Double layer rotating Table top type desk | |
| CN109907535A (en) | Corner bookcase based on worm analysis | |
| CN109308465A (en) | Table line detecting method, apparatus, equipment and computer-readable medium | |
| CN110390681B (en) | Depth image object contour rapid extraction method and device based on depth camera | |
| CN107851196A (en) | A kind of method and device of image model matching | |
| CN109271910A (en) | A kind of Text region, character translation method and apparatus | |
| Kainz et al. | Estimating the object size from static 2D image | |
| CN109117748B (en) | Page turning detection method and device | |
| CN101826156A (en) | Book registration device for library | |
| CN102915429B (en) | A kind of scanned picture matching process and device | |
| Mani et al. | Design of a novel shape signature by farthest point angle for object recognition | |
| CN107423739B (en) | Image feature extraction method and device | |
| Dong et al. | Extracting sea-sky-line based on improved local complexity | |
| CN109741302B (en) | SD card form recognition system and method based on machine vision | |
| CN110059563A (en) | A kind of text handling method and device | |
| CN103093175A (en) | Face identification system on chip based on field programmable gate array (FPGA) | |
| Jen et al. | A circular hough transform hardware for industrial circle detection applications | |
| CN114549787A (en) | Method, system and equipment for calculating volume of solid-liquid mixed food | |
| Fu et al. | A new image enhancement algorithm for low illumination environment |
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 |
Application publication date: 20190621 |
|
| WW01 | Invention patent application withdrawn after publication |