CN108682018B - The instant detection platform of equipment degree of lacking - Google Patents
The instant detection platform of equipment degree of lacking Download PDFInfo
- Publication number
- CN108682018B CN108682018B CN201810528543.9A CN201810528543A CN108682018B CN 108682018 B CN108682018 B CN 108682018B CN 201810528543 A CN201810528543 A CN 201810528543A CN 108682018 B CN108682018 B CN 108682018B
- Authority
- CN
- China
- Prior art keywords
- image
- equipment
- pixel
- adaptive
- filtering
- 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.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 29
- 230000003287 optical effect Effects 0.000 claims abstract description 26
- 238000009826 distribution Methods 0.000 claims abstract description 18
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000001914 filtration Methods 0.000 claims description 48
- 238000005728 strengthening Methods 0.000 claims description 27
- 238000012545 processing Methods 0.000 claims description 26
- 238000006073 displacement reaction Methods 0.000 claims description 16
- 238000003709 image segmentation Methods 0.000 claims description 14
- 230000007797 corrosion Effects 0.000 claims description 10
- 238000005260 corrosion Methods 0.000 claims description 10
- 230000003628 erosive effect Effects 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 5
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 206010000060 Abdominal distension Diseases 0.000 claims description 2
- 208000024330 bloating Diseases 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000003973 paint Substances 0.000 description 3
- 239000004568 cement Substances 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000003795 desorption Methods 0.000 description 2
- XZMCDFZZKTWFGF-UHFFFAOYSA-N Cyanamide Chemical compound NC#N XZMCDFZZKTWFGF-UHFFFAOYSA-N 0.000 description 1
- 239000002253 acid Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 239000002023 wood 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
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G06T5/70—
-
- G06T5/73—
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
Abstract
The present invention relates to a kind of instant detection platforms of equipment degree of lacking, comprising: computer desk structure, including vertical bar, chassis, body frame, tray rack, pallet, auxiliary table surface, main desktop and sliding equipment, the vertical bar are made of extension type standpipe；Hemisphere photographic unit, including dragging tail measuring device, image interception equipment, data analysis equipment, direct-drive motor, optical filter, optical lens and image sensing apparatus, described image sensing equipment is for shooting computer desk to export current computer desk image；Computer identifies equipment, for connecting all final profile pixels to obtain multiple closed areas, determine the area of each closed area, when there are the closed area that area is equal to default computer area distributions range, issue computer identification signal, and it is also used to issue computer deleted signal when there is no the closed area that area is equal to default computer area distributions range.By means of the invention it is possible to inform user equipment integrity degree in time.
Description
Technical field
The present invention relates to computer desk field more particularly to a kind of instant detection platforms of equipment degree of lacking.
Background technique
Computer desk is surrounded by the medium-density plate of plastic cement soft-sided by four sides, is formed through screw assembly fixation.Medium-density plate has weight
Moderate, fire prevention, moisture-proof, acid and alkali-resistance, feature antistatic, price is cheap are measured, is well suited for making computer desk.And some so-called top grades
Computer desk, expensive by pure producing wood, astute consumer presumably will not draw this part of unjust money.The three of computer table surface
Poly cyanamid paint is divided into smooth and two kinds of frosted.Pitted skin paint good hand touch, it is non-slip, non-reflective, wiped with wet cloth after water stain-free trace.
Summary of the invention
The technical issues of lacking facility integrity degree analysis mechanisms for settlement computer table, the present invention provides a kind of equipment to lack
The instant detection platform of mistake situation is being detected because shaking and when dragging tail phenomenon of generation, is being analyzed picture material, specifically
Ground is determined the displacement vector of image based on each red color channel value of each pixel of image, and uses hemisphere photographic unit
Built-in motor carry out corresponding displacement correction；The area intensive just for the noise profile is carried out to the enhanced image in edge
The adaptive-filtering processing that domain is filtered, reaches balance between filter effect and filtering operation amount, meanwhile, customization
The help of background segment mode obtains effective region to be identified；Identify each target shape in image to determine in image
Edge line distribution situation, and instant sharpening operation is carried out to image based on the edge line distribution situation, in above-mentioned customized treatment
On the basis of, high-precision judgement is carried out to the deletion condition of computer computed table, to realize to computer desk equipment integrity degree
Effectively analysis.
According to an aspect of the present invention, a kind of instant detection platform of equipment degree of lacking is provided, the platform includes:
Computer desk structure, including vertical bar, chassis, body frame, tray rack, pallet, auxiliary table surface, main desktop and sliding equipment, institute
Vertical bar is stated to be made of extension type standpipe.
More specifically, in the instant detection platform of equipment degree of lacking, further includes:
Hemisphere photographic unit, including drag tail measuring device, image interception equipment, data analysis equipment, direct-drive motor,
Optical filter, optical lens and image sensing apparatus, described image sensing equipment are used to shoot computer desk current to export
Computer desk image.
More specifically, in the instant detection platform of equipment degree of lacking, further includes:
Tail measuring device is dragged, is connect with described image sensing equipment, for receiving current computer desk image, to described current
Computer desk image executes picture material measurement, whether to occur dragging tail pattern in the current computer desk image of determination, and drags existing
It when tail pattern, issues content and drags tail signal, otherwise, issue content normal signal.
More specifically, in the instant detection platform of equipment degree of lacking, further includes:
Image interception equipment drags tail measuring device and described image sensing equipment is connect with described respectively, for receiving
When dragging tail signal to first content, first content is dragged into the corresponding current computer desk image of tail signal as to be analyzed
Image output will drag the nearest current computer desk image of the corresponding current computer desk image of tail signal apart from first content
It is exported as image to be compared；Data analysis equipment is connect, for receiving the image to be analyzed with described image interception equipment
With the image to be compared, is compared based on the image to be analyzed and the whole of the image to be compared, determined described to be analyzed
Displacement vector of the image relative to the image to be compared, to be exported as current displacement vector；Direct-drive motor, respectively with
The optical filter, the optical lens, described image sensing equipment are connected with the data analysis equipment, for being based on institute's rheme
Move the movement that optical filter, the optical lens, described image sensing equipment described in vector controlled carry out opposite direction together；Edge
Strengthening device is connect with described image sensing equipment, for receiving the current computer desk image, to the current computer desk figure
As executing edge strengthening processing, to obtain corresponding edge strengthening image, and the edge strengthening image is exported；Adaptive-filtering
Equipment is connect with the edge strengthening equipment, is executed for receiving the edge strengthening image, and to the edge strengthening image
Based on the adaptive-filtering processing of noise profile situation in the edge strengthening image, to obtain simultaneously output adaptive filtering figure
Picture；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 is based on institute for receiving the adaptive-filtering image
The pixel value DYNAMIC DISTRIBUTION range for stating the pixel of adaptive-filtering image determines that the content of the adaptive-filtering image is clear
Degree, and export the content readability；Third parameter analyzing device is detected for receiving the adaptive-filtering image
The contrast of the adaptive-filtering image, and export the contrast；Extracted region equipment, respectively with the first parameter solution
Desorption device, the second parameter analyzing device are connected with third parameter analyzing device, for receive the content uniformity coefficient, it is described in
Hold readability and the contrast, is determined based on the content uniformity coefficient to its influence system to image segmentation threshold
Number is determined to its influence coefficient to image segmentation threshold based on the content readability, based on determining pair of the contrast
Its influence coefficient to image segmentation threshold is also used to simultaneously entangle image segmentation threshold based on three kinds of influence coefficients
Just, and based on the image segmentation threshold after correction to the adaptive-filtering image it is split, is detached from back to obtain and export
The region to be identified of scape；Image erosion equipment is connect with the extracted region equipment, for carrying out figure to the region to be identified
As corrosion treatment, to obtain corresponding corrosion image；Image expansion equipment is connect, for institute with described image corrosion equipment
It states corrosion image and carries out Image erosion processing, to obtain corresponding expanding image；Lines measuring device is set with described image expansion
Standby connection, for receiving the expanding image, detects each edge line in the expanding image, described swollen to obtain
Edge line quantity in swollen image, and when the edge line quantity in the expanding image is less than preset quantity threshold value, it issues
It is not required to sharpening information, when being also used to the edge line quantity in the expanding image more than preset quantity threshold value, issues and sharpens touching
Photos and sending messages；Real time operation equipment is connect with the lines measuring device, for opening when receiving the sharpening triggering information
The dynamic real-time Edge contrast to the expanding image, to obtain corresponding real time operation image, be also used to receive it is described sharp
When changing triggering information, real-time Edge contrast is not carried out to the expanding image, directly using the expanding image as real time operation
Image output；Contoured processing equipment is connect with the real time operation equipment, for receiving real time operation image, to instant behaviour
Make image and execute binary conversion treatment to obtain and export corresponding binary image, is begun stepping through from the upper left corner of binary image
Each pixel of image, for each pixel, if the pixel around it more than 5 points is all black level pixel or its week
The pixel enclosed more than 5 points is all white level pixel, then uses the pixel as interior pixels, and otherwise, the pixel is as preliminary wheel
Wide pixel；The contoured processing equipment all preliminary contour pixels in binary image are connected and are fitted with
Multiple fitting closed curves are obtained, the preliminary contour pixel being fitted except closed curve is revised as interior pixels, will not repaired
The preliminary contour pixel changed is as final profile pixel；Computer identifies equipment, connect with the contoured processing equipment, and being used for will
All final profile pixels are connected to obtain multiple closed areas, determine the area of each closed area, when there are faces
When product is equal to the closed area of default computer area distributions range, computer identification signal is issued；Wherein, the computer identifies equipment
It is also used to issue computer deleted signal when there is no the closed area that area is equal to default computer area distributions range.
More specifically, in the instant detection platform of equipment degree of lacking: the optical filter is arranged in the optical frames
The front of the optical lens is arranged in the front of head, described image sensing equipment.
More specifically, in the instant detection platform of equipment degree of lacking: in the data analysis equipment, being based on institute
It states image to be analyzed and the whole of the image to be compared compares, determine the image to be analyzed relative to the image to be compared
Displacement vector include: each red color channel value for obtaining each pixel of the image to be analyzed and the figure to be compared
Each red color channel value of picture, each red color channel value of each pixel based on the image to be analyzed and it is described to than
Displacement vector of the image to be analyzed relative to the image to be compared is determined compared with each red color channel value of image.
More specifically, in the instant detection platform of equipment degree of lacking: in the adaptive-filtering equipment, to institute
Stating edge strengthening image and executing the adaptive-filtering processing based on noise profile situation in the edge strengthening image includes: detection
The densely distributed region of the edge strengthening noise in image is filtered place just for the intensive region of the noise profile
Reason.
More specifically, in the instant detection platform of equipment degree of lacking: in the lines measuring device, to described
Each edge line in expanding image is detected, and includes: to identify institute with the edge line quantity obtained in the expanding image
Each target shape in expanding image is stated, one or more lines of each target shape will be formed as one or more
Edge line.
Specific embodiment
The embodiment of the instant detection platform of equipment degree of lacking of the invention will be described in detail below.
Computer desk is a kind of desk for putting computer.It is critically important office and daily necessity.Modern computer desk money
Formula multiplicity material multiplicity, design are also diversified.Selection computer desk should be noted that plate is smooth, paint layer without blister, fall off, color it is equal
One, the hairless quarrel in edge junction, plastic cement soft-sided it is submissive without turnup, drawer, keyboard drawer push-and-pull be smooth, desk body is not rocked steadily.
Computer desk should be placed in well-ventilated, direct sunlight less than place.
In order to overcome above-mentioned deficiency, the present invention has built a kind of instant detection platform of equipment degree of lacking, can effectively solve
Certainly corresponding technical problem.
The instant detection platform of equipment degree of lacking shown according to an embodiment of the present invention includes:
Computer desk structure, including vertical bar, chassis, body frame, tray rack, pallet, auxiliary table surface, main desktop and sliding equipment, institute
Vertical bar is stated to be made of extension type standpipe.
Then, continue to carry out further the specific structure of the instant detection platform of equipment degree of lacking of the invention
It is bright.
In the instant detection platform of equipment degree of lacking, further includes:
Hemisphere photographic unit, including drag tail measuring device, image interception equipment, data analysis equipment, direct-drive motor,
Optical filter, optical lens and image sensing apparatus, described image sensing equipment are used to shoot computer desk current to export
Computer desk image.
In the instant detection platform of equipment degree of lacking, further includes:
Tail measuring device is dragged, is connect with described image sensing equipment, for receiving current computer desk image, to described current
Computer desk image executes picture material measurement, whether to occur dragging tail pattern in the current computer desk image of determination, and drags existing
It when tail pattern, issues content and drags tail signal, otherwise, issue content normal signal.
In the instant detection platform of equipment degree of lacking, further includes:
Image interception equipment drags tail measuring device and described image sensing equipment is connect with described respectively, for receiving
When dragging tail signal to first content, first content is dragged into the corresponding current computer desk image of tail signal as to be analyzed
Image output will drag the nearest current computer desk image of the corresponding current computer desk image of tail signal apart from first content
It is exported as image to be compared；
Data analysis equipment, with described image interception equipment connect, for receive the image to be analyzed and it is described to than
Compared with image, based on the image to be analyzed and the image to be compared it is whole relatively, determine the image to be analyzed relative to
The displacement vector of the image to be compared, to be exported as current displacement vector；
Direct-drive motor, respectively with the optical filter, the optical lens, described image sensing equipment and the data
Analytical equipment connection, for controlling the optical filter, the optical lens, described image sensing equipment based on institute's displacement vector
The movement of opposite direction is carried out together；
Edge strengthening equipment is connect with described image sensing equipment, for receiving the current computer desk image, to described
Current computer desk image executes edge strengthening processing, to obtain corresponding edge strengthening image, and exports the edge strengthening figure
Picture；
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 connection, 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 based on the content readability to image
The influence coefficient of segmentation threshold is determined to its influence coefficient to image segmentation threshold based on the contrast, is also used to be based on
Three kinds of influence coefficients simultaneously correct image segmentation threshold, 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 corrosion equipment, for carrying out at Image erosion to the corrosion image
Reason, to obtain corresponding expanding image；
Lines measuring device is connect with described image bloating plant, for receiving the expanding image, to the expansion plans
Each edge line as in is detected, to obtain the edge line quantity in the expanding image, and in the expanding image
Edge line quantity when being less than preset quantity threshold value, sending is not required to sharpening information, is also used to the side in the expanding image
When edge line number amount is more than preset quantity threshold value, issues and sharpen triggering information；
Real time operation equipment is connect with the lines measuring device, for opening when receiving the sharpening triggering information
The dynamic real-time Edge contrast to the expanding image, to obtain corresponding real time operation image, be also used to receive it is described sharp
When changing triggering information, real-time Edge contrast is not carried out to the expanding image, directly using the expanding image as real time operation
Image output；
Contoured processing equipment is connect, for receiving real time operation image, to real time operation with the real time operation equipment
Image executes binary conversion treatment to obtain and export corresponding binary image, begins stepping through figure from the upper left corner of binary image
Each pixel of picture, for each pixel, if the pixel around it more than 5 points be all black level pixel or its around
Pixel more than 5 points is all white level pixel, then uses the pixel as interior pixels, and otherwise, the pixel is as preliminary profile
Pixel；All preliminary contour pixels in binary image are connected and are fitted to obtain by the contoured processing equipment
Multiple fitting closed curves are obtained, the preliminary contour pixel being fitted except closed curve is revised as interior pixels, will not modified
Preliminary contour pixel as final profile pixel；
Computer identifies equipment, connect with the contoured processing equipment, for connecting all final profile pixels
To obtain multiple closed areas, the area of each closed area is determined, when there are areas to be equal to default computer area distributions model
When the closed area enclosed, computer identification signal is issued；
Wherein, the computer identification equipment is also used to when there is no the closings that area is equal to default computer area distributions range
When region, computer deleted signal is issued.
In the instant detection platform of equipment degree of lacking: the front of the optical lens is arranged in the optical filter,
The front of the optical lens is arranged in described image sensing equipment.
In the instant detection platform of equipment degree of lacking: in the data analysis equipment, based on described to be analyzed
Image and the whole of the image to be compared compare, and determine that the image to be analyzed is sweared relative to the displacement of the image to be compared
Amount include: obtain each pixel of the image to be analyzed each red color channel value and the image to be compared it is each
Red color channel value, each red color channel value of each pixel based on the image to be analyzed and the image to be compared
Each red color channel value determines displacement vector of the image to be analyzed relative to the image to be compared.
In the instant detection platform of equipment degree of lacking: strong to the edge in the adaptive-filtering equipment
Changing image to execute the adaptive-filtering processing based on noise profile situation in the edge strengthening image includes: the detection edge
Strengthen the densely distributed region of noise in image, is filtered just for the intensive region of the noise profile.
And in the instant detection platform of equipment degree of lacking: in the lines measuring device, to the expansion
Each edge line in image is detected, with the edge line quantity obtained in the expanding image include: identify it is described swollen
Each target shape in swollen image will form one or more lines of each target shape as one or more edges
Line.
In addition, the computer identification equipment is dsp chip.The inside of the dsp chip Harvard separated using program and data
Structure has special hardware multiplier, pile line operation is widely used, and provides special DSP instruction, can be used to quick
Realize various digital signal processing algorithms.
According to the requirement of Digital Signal Processing, dsp chip generally has following some main features: (1) referring at one
Enable an achievable multiplication and a sub-addition in the period.(2) program and data space is separated, can simultaneously access instruction sum number
According to.(3) there is quick RAM in piece, can usually be accessed simultaneously in two pieces by independent data/address bus.(4) there is low overhead
Or without overhead loop and the hardware supported jumped.(5) quickly interrupt processing and Hardware I/O are supported.(6) have within the monocycle
Multiple hardware address generators of operation.(7) multiple operations can be executed parallel.(8) it supports pile line operation, makes fetching, translates
The operations such as code and execution can be with Overlapped Execution.
Classified according to the data format of dsp chip work.Data are known as pinpointing with the dsp chip that fixed point format works
Dsp chip, TMS320C1X/C2X, TMS320C2XX/C5X, TMS320C54X/C62XX such as TI company are serial, AD company
ADSP21XX series, the DSP16/16A of AT & T Corp., the MC56000 etc. of Motolora company.What is worked in a floating-point format is known as
Float-point DSP, the ADSP21XXX such as the TMS320C3X/C4X/C8X of TI company, AD company is serial, AT & T Corp.
The MC96002 etc. of DSP32/32C, Motolora company.
Using the instant detection platform of equipment degree of lacking of the invention, cannot achieve completely for computer desk in the prior art
The technical issues of degree detection, analyzes picture material, has by detecting because shaking and when dragging tail phenomenon of generation
Body, the displacement vector of image is determined based on each red color channel value of each pixel of image, and use hemisphere camera
The built-in motor of structure carries out corresponding displacement correction；Intensive just for the noise profile to the progress of the enhanced image in edge
The adaptive-filtering processing that region is filtered, reaches balance between filter effect and filtering operation amount, meanwhile, customization
The help of background segment mode obtain effective region to be identified；Identify each target shape in image to determine in image
Edge line distribution situation, and instant sharpening operation is carried out to image based on the edge line distribution situation, at above-mentioned customization
On the basis of reason, high-precision judgement is carried out to the deletion condition of computer computed table, realization has computer desk equipment integrity degree
Effect analysis, 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 (1)
1. a kind of instant detection platform of equipment degree of lacking characterized by comprising
Computer desk structure, including vertical bar, chassis, body frame, tray rack, pallet, auxiliary table surface, main desktop and sliding equipment, it is described perpendicular
Bar is made of extension type standpipe；
Hemisphere photographic unit, including drag tail measuring device, image interception equipment, data analysis equipment, direct-drive motor, optical filtering
Piece, optical lens and image sensing apparatus, described image sensing equipment is for shooting computer desk to export current computer
Table image；
Tail measuring device is dragged, is connect with described image sensing equipment, for receiving current computer desk image, to the current computer
Table image executes picture material measurement, whether to occur dragging tail pattern in the current computer desk image of determination, and drags tail figure existing
It when case, issues content and drags tail signal, otherwise, issue content normal signal；
Image interception equipment drags tail measuring device and described image sensing equipment is connect with described respectively, for receiving
When one content drags tail signal, first content is dragged into the corresponding current computer desk image of tail signal as image to be analyzed
Output, using apart from first content drag the nearest current computer desk image of the corresponding current computer desk image of tail signal as
Image output to be compared；
Data analysis equipment is connect, for receiving the image to be analyzed and the figure to be compared with described image interception equipment
Picture is compared based on the image to be analyzed and the whole of the image to be compared, determines the image to be analyzed relative to described
The displacement vector of image to be compared, to be exported as current displacement vector；
Direct-drive motor is analyzed with the optical filter, the optical lens, described image sensing equipment and the data respectively
Equipment connection, for controlling the optical filter, the optical lens, described image sensing equipment together based on institute's displacement vector
Carry out the movement of opposite direction；
Edge strengthening equipment is connect with described image sensing equipment, for receiving the current computer desk image, to described current
Computer desk 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 based on the content readability to image segmentation
The influence coefficient of threshold value is determined based on the contrast to its influence coefficient to image segmentation threshold, is also used to based on described
Three kinds of influence coefficients simultaneously correct 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 corrosion equipment, for carrying out Image erosion processing to the corrosion image, with
Obtain corresponding expanding image；
Lines measuring device is connect with described image bloating plant, for receiving the expanding image, in the expanding image
Each edge line detected, to obtain the edge line quantity in the expanding image, and the side in the expanding image
When edge line number amount is less than preset quantity threshold value, sending is not required to sharpening information, the edge line being also used in the expanding image
When quantity 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 expanding image is also used to receiving the sharpening touching to obtain corresponding real time operation image
When photos and sending messages, real-time Edge contrast is not carried out to the expanding image, directly using the expanding image as real time operation image
Output；
Contoured processing equipment is connect with the real time operation equipment, for receiving real time operation image, to real time operation image
Binary conversion treatment is executed to obtain and export corresponding binary image, begins stepping through image from the upper left corner of binary image
Each pixel, for each pixel, if the pixel around it more than 5 points be all black level pixel or its around be more than
The pixel of 5 points is all white level pixel, then uses the pixel as interior pixels, and otherwise, the pixel is as preliminary contour pixel；
All preliminary contour pixels in binary image are connected and are fitted more to obtain by the contoured processing equipment
The preliminary contour pixel being fitted except closed curve is revised as interior pixels by a fitting closed curve, first by what is do not modified
Contour pixel is walked as final profile pixel；
Computer identifies equipment, connect with the contoured processing equipment, for connecting all final profile pixels to obtain
Multiple closed areas are obtained, determine the area of each closed area, when there are areas to be equal to default computer area distributions range
When closed area, computer identification signal is issued；
Wherein, the computer identification equipment is also used to when there is no the closed areas that area is equal to default computer area distributions range
When, issue computer deleted signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810528543.9A CN108682018B (en) | 2018-05-26 | 2018-05-26 | The instant detection platform of equipment degree of lacking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810528543.9A CN108682018B (en) | 2018-05-26 | 2018-05-26 | The instant detection platform of equipment degree of lacking |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108682018A CN108682018A (en) | 2018-10-19 |
| CN108682018B true CN108682018B (en) | 2019-05-07 |
Family
ID=63807081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810528543.9A Active CN108682018B (en) | 2018-05-26 | 2018-05-26 | The instant detection platform of equipment degree of lacking |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108682018B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110005621B (en) * | 2018-06-13 | 2020-10-02 | 宁波瑞卡电器有限公司 | Centrifugal protection type hair-dryer |
| CN110006137A (en) * | 2018-07-25 | 2019-07-12 | 永康市异造科技有限公司 | Air conditioner dehumidification mode fine tunes platform |
| CN109611915B (en) * | 2018-12-06 | 2020-12-18 | 陈海燕 | Self-adaptive filter screen pushing platform |
| CN109717838A (en) * | 2019-01-14 | 2019-05-07 | 于蓝 | Diagnostic device real-time servicing platform |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120054936A (en) * | 2010-11-22 | 2012-05-31 | 삼성모바일디스플레이주식회사 | Liquid crystral display device |
| CN106845347A (en) * | 2016-12-19 | 2017-06-13 | 航天恒星科技有限公司 | Marine oil film recognizes extracting method and system |
| CN107122777A (en) * | 2017-04-25 | 2017-09-01 | 云南省交通科学研究所 | A kind of vehicle analysis system and analysis method based on video file |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201005268Y (en) * | 2007-01-08 | 2008-01-16 | 厦门纬嘉运动器材有限公司 | Movable dining table |
| KR20080103233A (en) * | 2007-05-23 | 2008-11-27 | 삼성전자주식회사 | Multi fuction peripheral having the missing nozzle detection |
| CN201175095Y (en) * | 2008-02-29 | 2009-01-07 | 益典工业股份有限公司 | Table height adjustment device |
| CN102289908B (en) * | 2011-08-02 | 2016-02-17 | 中北大学 | Based on the independent association real-time anti-theft system of graphical analysis |
| CN202698249U (en) * | 2012-05-22 | 2013-01-30 | 上海电机学院 | Adjustable computer table |
| US20130340057A1 (en) * | 2012-06-13 | 2013-12-19 | Rawllin International Inc. | Image Facilitated Password Generation User Authentication And Password Recovery |
| CN104523021B (en) * | 2014-12-29 | 2017-04-12 | 贵州航天工业学校 | Mobile multifunctional platform |
| CN104866789A (en) * | 2015-04-17 | 2015-08-26 | 杭州豚鼠科技有限公司 | Alarm method for preventing intelligent electronic device from being lost using somatic sense control device |
-
2018
- 2018-05-26 CN CN201810528543.9A patent/CN108682018B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120054936A (en) * | 2010-11-22 | 2012-05-31 | 삼성모바일디스플레이주식회사 | Liquid crystral display device |
| CN106845347A (en) * | 2016-12-19 | 2017-06-13 | 航天恒星科技有限公司 | Marine oil film recognizes extracting method and system |
| CN107122777A (en) * | 2017-04-25 | 2017-09-01 | 云南省交通科学研究所 | A kind of vehicle analysis system and analysis method based on video file |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108682018A (en) | 2018-10-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108682018B (en) | The instant detection platform of equipment degree of lacking | |
| CN109344724A (en) | A kind of certificate photo automatic background replacement method, system and server | |
| KR20210149848A (en) | Skin quality detection method, skin quality classification method, skin quality detection device, electronic device and storage medium | |
| CN108986081B (en) | Method, device and equipment for detecting glass cracks of photovoltaic module and storage medium | |
| CN109376631B (en) | Loop detection method and device based on neural network | |
| CN109272016B (en) | Target detection method, device, terminal equipment and computer readable storage medium | |
| EP3620981A1 (en) | Object detection method, device, apparatus and computer-readable storage medium | |
| CN104361698A (en) | Self-service intelligent electronic weighing settlement method and system | |
| EP2673695A2 (en) | Angular contact geometry | |
| CN109115461A (en) | A kind of method that equipment degree of lacking detects immediately | |
| WO2017215362A1 (en) | Intelligent shopping system based on supermarket shopping cart and control method therefor | |
| CN108596955A (en) | A kind of image detecting method, image detection device and mobile terminal | |
| Zhao et al. | Parameter optimal determination for canny edge detection | |
| CN110298817A (en) | Object statistical method, device, equipment and storage medium based on image procossing | |
| CN102842135A (en) | Method of detecting main body area of product image | |
| CN108052943A (en) | A kind of instrument character wheel recognition methods and equipment | |
| CN109410138A (en) | Modify jowled methods, devices and systems | |
| CN102254304A (en) | Method for detecting contour of target object | |
| CN108154513A (en) | Cell based on two photon imaging data detects automatically and dividing method | |
| CN110705619A (en) | Fog concentration grade judging method and device | |
| CN110059573A (en) | Wild ginseng based on image recognition is classified calibration method | |
| CN108805095A (en) | image processing method, device, mobile terminal and computer readable storage medium | |
| CN113112321A (en) | Intelligent energy body method, device, electronic equipment and storage medium | |
| CN108109115B (en) | Method, device and equipment for enhancing character image and storage medium | |
| CN110263741A (en) | Video frame extraction method, apparatus and terminal device |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190328 Address after: Room 201-1, 299 Lane 1, Jiangchang West Road, Jing'an District, Shanghai 200040 Applicant after: Shanghai Shangyong Electronic Technology Engineering Co.,Ltd. Address before: 214161 No. 18 Dongqing Road, Huda Industrial Park, Binhu District, Wuxi City, Jiangsu Province Applicant before: Ren Amao |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20181019 Assignee: SHANGHAI YINGYI URBAN PLANNING AND DESIGN CO.,LTD. Assignor: Shanghai Shangyong Electronic Technology Engineering Co.,Ltd. Contract record no.: X2023980054333 Denomination of invention: Instant detection platform for device missing status Granted publication date: 20190507 License type: Common License Record date: 20231227 |
|
| EE01 | Entry into force of recordation of patent licensing contract |