CN110522349A - A kind of fixation desktop maintaining method based on gray scale measurement - Google Patents
A kind of fixation desktop maintaining method based on gray scale measurement Download PDFInfo
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- CN110522349A CN110522349A CN201810518240.9A CN201810518240A CN110522349A CN 110522349 A CN110522349 A CN 110522349A CN 201810518240 A CN201810518240 A CN 201810518240A CN 110522349 A CN110522349 A CN 110522349A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4011—Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The present invention relates to a kind of fixation desktop maintaining methods based on gray scale measurement, including providing and running the fixation desktop maintenance system based on gray scale measurement, system includes: fixed desktop, is arranged above table leg, using glass structure, for providing place to the use of desk for user；CCD capture apparatus, for carrying out image data induction in face of desktop to export corresponding live desktop picture；Gray scale judges equipment, for receiving Divided-fitting method image, the gray value of whole pixels based on the Divided-fitting method image calculates the average gray of the Divided-fitting method image, and average gray is compared with default gray value, when average gray is less than or equal to default gray value, sending needs clean signal；Clean driving equipment, be arranged near the fixed desktop, judge that equipment is connect with the gray scale, for receive it is described need clean signal when, implementation is to the instant clean operation of the fixed desktop.
Description
Technical field
The present invention relates to desktop maintenance area more particularly to a kind of fixation desktop maintaining methods based on gray scale measurement.
Background technique
Desktop is the major part for constituting desk, directly provides the table top of a support job.Daily above
When completing work, the impression that can all there are limbs to apply, so the composition of desktop is very crucial.Present company is generally used
The mode of office furniture customization selects furniture, also contains the voluntarily selection to manufacture material among these.
Summary of the invention
In order to solve the technical issues of manual operation is still depended in desktop cleaning unduly, the present invention provides one kind to be based on gray scale
The fixation desktop maintaining method of measurement, by carrying out homomorphic filtering processing, histogram equalization processing and image segmentation to image
Each subgraph adjusting thresholds, further reduce the range of image recognition, for subsequent image processing reduce data volume；It is based on
The search result of the biggish piecemeal of content irrelevance carries out targetedly edge intensification to the piecemeal of acquisition and handles, to be promoted
Deepen the efficiency of processing in edge；Circumstance of occlusion analysis is carried out to the image of CCD capture apparatus shooting, to determine that picture material is bright
The more situation of the small pixel of angle value is blocking from the external world or picture material itself, to determine being using external interference
Removal operation or internal interference removal operation；On the basis of above-mentioned high-precision image real time transfer, it can be based on
The gray analysis result of desktop picture determines whether to execute instant cleaning action.
According to an aspect of the present invention, a kind of fixation desktop maintaining method based on gray scale measurement is provided, including is provided
And the fixation desktop maintenance system measured based on gray scale is run, the fixation desktop maintenance system based on gray scale measurement includes:
Fixed desktop, is arranged above table leg, using glass structure, for providing place to the use of desk for user；
CCD capture apparatus, for carrying out image data induction in face of desktop to export corresponding live desktop picture；Homomorphic filtering is set
It is standby, it is connect with the CCD capture apparatus, for receiving the live desktop picture, homomorphism is executed to the live desktop picture
Filtering processing, to obtain corresponding homomorphic filtering image, wherein the noise amplitude of the scene desktop picture is bigger, execution
The intensity of homomorphic filtering processing is bigger；Equilibrium treatment equipment is connect with the homomorphic filtering equipment, for receiving the homomorphism filter
Wave image executes histogram equalization processing to the homomorphic filtering image, to obtain corresponding histogram equalization image；First threshold
It is worth extract equipment, is connect with the equilibrium treatment equipment, it is equal based on the histogram for receiving the histogram equalization image
The distribution situation of the pixel value of each pixel determines the corresponding whole segmentation threshold of the histogram equalization image inside weighing apparatus image
Value；First Parameter analysis of electrochemical equipment, for receiving the histogram equalization image, to the histogram equalization image degree of comparing
Analysis, to obtain and export corresponding contrast；First dividing processing equipment is connect with the first Parameter analysis of electrochemical equipment, is used
Image dividing processing is carried out to the histogram equalization image in the reception contrast, and based on the contrast, to obtain
Multiple subgraphs, wherein the contrast is higher, and the quantity of the subgraph of acquisition is more；Second threshold extract equipment, and it is described
First dividing processing equipment connection, for receiving the multiple subgraph, based on pixel each inside each subgraph
The distribution situation of pixel value determines the corresponding region segmentation threshold value of the subgraph, and it is corresponding each to export each subgraph
Region segmentation threshold value；First numerical value adjusts equipment, sets respectively with the second threshold extract equipment and first threshold extraction
Standby connection, for receiving the whole segmentation threshold and each region segmentation threshold, and based on the whole segmentation threshold to every
One region segmentation threshold value carries out numerical value adjustment, obtains region segmentation threshold value adjusted to export as region adjustment threshold value；
In first numerical value adjustment equipment, numerical value adjustment is carried out to each region segmentation threshold value based on the whole segmentation threshold
It include: that the size of the difference based on whole segmentation threshold to each region segmentation threshold value carries out the region segmentation threshold value
Numerical value adjustment；In first numerical value adjustment equipment, based on the whole segmentation threshold to each region segmentation threshold value
It is the region segmentation that size of the difference, which includes: region segmentation threshold value adjusted to region segmentation threshold value progress numerical value adjustment,
Threshold value and the difference a quarter and；Second dividing processing equipment, with first numerical value adjustment equipment connect, be used for pair
Each subgraph takes corresponding region adjustment threshold value to be split processing, to obtain corresponding target subgraph, and by institute
There is target subgraph to be combined to obtain and export image after combination；Linear filtering equipment is set with second dividing processing
Standby connection executes linear filtering processing to image after the combination for receiving image after the combination, to obtain and output phase
The linear filtering image answered；Partitioned searching equipment is connect with the linear filtering equipment, for receiving the linear filtering figure
Picture executes homogenizing piecemeal processing to the linear filtering image, to obtain each homogenizing piecemeal, executes to each homogenizing piecemeal
It operates below: obtaining the mean value of the brightness value of each pixel of the homogenizing piecemeal；The partitioned searching equipment is also used to base
The image level luminance mean value of the linear filtering image is determined in each mean value of each homogenizing piecemeal, by mean value described in
The homogenizing piecemeal that the absolute value of the difference of image level luminance mean value transfinites is homogenized piecemeal as target, and exports the linear filtering figure
Each target as in is homogenized piecemeal；In the partitioned searching equipment, by the linear filtering image in addition to each target
Multiple homogenizing piecemeals of piecemeal are homogenized as multiple homogenizing piecemeals to be filled, and export the multiple homogenizing piecemeal to be filled；Point
Block deepens equipment, connect with the partitioned searching equipment, for executing edge intensification processing to each target homogenizing piecemeal, with
Corresponding intensification homogenizing piecemeal is obtained, is also used to each intensification being homogenized piecemeal and each homogenizing piecemeal to be filled is fitted,
To obtain Divided-fitting method image, and export the Divided-fitting method image；Gray scale judges equipment, deepens equipment with the piecemeal and connects
It connects, for receiving the Divided-fitting method image, described in the gray value calculating of whole pixels based on the Divided-fitting method image
The average gray of Divided-fitting method image, and average gray is compared with default gray value, when average gray is less than
Equal to default gray value, sending needs clean signal；Driving equipment is cleaned, is arranged near the fixed desktop, and it is described
Gray scale judges that equipment connects, for receive it is described need clean signal when, implement instant cleaning to the fixed desktop
Operation；Wherein, judge in equipment in the gray scale, when average gray is less than default gray value, sending does not need clean signal.
More specifically, in the fixation desktop maintenance system based on gray scale measurement: in the cleaning driving equipment,
Be also used to receive it is described do not need clean signal when, stop the instant clean operation to the fixed desktop.
More specifically, in the fixation desktop maintenance system based on gray scale measurement, further includes:
Component extraction equipment is connect with the CCD capture apparatus, for receiving the live desktop picture, extracts institute
The each R component value for stating each pixel in live desktop picture, based on each pixel in the live desktop picture
Each R component value calculate standard deviation, and when the standard deviation transfinites, pre-warning signal is blocked in sending, and in the standard
When difference does not transfinite, unobstructed standby signal is issued.
More specifically, in the fixation desktop maintenance system based on gray scale measurement, further includes:
Detection device pixel-by-pixel is connect with the component extraction equipment, for receive it is described block pre-warning signal when,
Each brightness value of each pixel in the live desktop picture is extracted, and brightness value is less than or equal to predetermined luminance threshold value
Pixel as pixel is blocked, remove in the live desktop picture it is isolated block pixel, by the live desktop
Each non-orphaned in image blocks pixel composition and each blocks subgraph.
More specifically, in the fixation desktop maintenance system based on gray scale measurement, further includes:
Subgraph judges equipment, connect with the detection device pixel-by-pixel, for receiving in the live desktop picture
It is each to block subgraph, quantity that each blocks pixel occupied by subgraph is calculated to block subgraph as correspondence
The subgraph that blocks that area is less than or equal to preset area threshold value is rejected, each blocks each of subgraph for remaining by area
Area is accumulative to block the gross area to obtain, and it is described block the gross area and transfinite when, alarm signal is blocked in sending, and described
When blocking the gross area does not transfinite, signal unconfirmed is blocked in sending.
More specifically, in the fixation desktop maintenance system based on gray scale measurement, further includes:
Median filtering equipment judges that equipment is connect with the subgraph, for described blocking signal unconfirmed receiving
When, start the median filtering operation to the live desktop picture, by the filtered image replacement live desktop picture
Output, wherein filter window size used in the median filtering operation to described to block the gross area directly proportional.
More specifically, in the fixation desktop maintenance system based on gray scale measurement, further includes:
Onsite alarming equipment judges that equipment is connect with the subgraph, for receive it is described block alarm signal, will
The alarm signal of blocking is wirelessly transmitted at the management server of distal end.
More specifically, in the fixation desktop maintenance system based on gray scale measurement: in the median filtering equipment,
When receive it is described block confirmation signal when, median filtering operation is not carried out to the live desktop picture.
More specifically, in the fixation desktop maintenance system based on gray scale measurement: in the onsite alarming equipment,
When receive it is described block signal unconfirmed when, transmission without any alarm signal.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is according to desk body where the fixation desktop maintenance system based on gray scale measurement shown in embodiment of the present invention
Structural schematic diagram.
Specific embodiment
Embodiment of the present invention is described in detail below with reference to accompanying drawings.
In the structure of entire desk, desktop accounts for the volume of more than half, which type of desktop material is selected to manufacture,
Substantially just the integral type of desk is defined most.From the point of view of the desk sales situation of current office furniture in the market, plate
The sales volume of formula desk is highest.Board-like material used is wood-based plate, mainly there is the classes such as triamine plate, particieboard, finger-jointed plate
, these wood-based plates do not require to fabricate to sawdust, batten, and can be used with Recovery and recycle, be a kind of economy again
The plate of environmental protection.This plate easy processing low cost, so manufactured desk is also relatively cheap.
In order to overcome above-mentioned deficiency, the present invention builds a kind of fixation desktop maintaining method based on gray scale measurement, including mentions
For and run the fixation desktop maintenance system that measure based on gray scale, the fixation desktop maintenance system measured based on gray scale can
Effectively solve corresponding technical problem.
Fig. 1 is according to desk body where the fixation desktop maintenance system based on gray scale measurement shown in embodiment of the present invention
Structural schematic diagram.Wherein, 1 is horizontal desktop, 3 to be vertically arranged desktop, 2 being connector, for by horizontal desktop and being vertically arranged desktop and connecting
It picks up and.
Show according to an embodiment of the present invention based on gray scale measurement fixation desktop maintenance system include:
Fixed desktop, is arranged above table leg, using glass structure, for providing place to the use of desk for user；
CCD capture apparatus, for carrying out image data induction in face of desktop to export corresponding live desktop picture；
Homomorphic filtering equipment is connect with the CCD capture apparatus, for receiving the live desktop picture, to described existing
Field desktop picture executes homomorphic filtering processing, to obtain corresponding homomorphic filtering image, wherein the scene desktop picture is made an uproar
Sound amplitude is bigger, and the intensity of the homomorphic filtering processing of execution is bigger；
Equilibrium treatment equipment is connect with the homomorphic filtering equipment, for receiving the homomorphic filtering image, to described same
State filtering image executes histogram equalization processing, to obtain corresponding histogram equalization image；
First threshold extract equipment is connect with the equilibrium treatment equipment, for receiving the histogram equalization image, base
The distribution situation of the pixel value of each pixel determines the histogram equalization image pair inside the histogram equalization image
The whole segmentation threshold answered；
First Parameter analysis of electrochemical equipment carries out the histogram equalization image for receiving the histogram equalization image
Analysis of Contrast, to obtain and export corresponding contrast；
First dividing processing equipment connect with the first Parameter analysis of electrochemical equipment, for receiving the contrast, and is based on
The contrast carries out image dividing processing to the histogram equalization image, to obtain multiple subgraphs, wherein the comparison
Degree is higher, and the quantity of the subgraph of acquisition is more；
Second threshold extract equipment is connect, for receiving the multiple subgraph, base with the first dividing processing equipment
The distribution situation of the pixel value of each pixel determines the corresponding region segmentation threshold of the subgraph inside each subgraph
Value, exports the corresponding each region segmentation threshold of each subgraph；
First numerical value adjusts equipment, connects respectively with the second threshold extract equipment and the first threshold extract equipment
It connects, for receiving the whole segmentation threshold and each region segmentation threshold, and based on the whole segmentation threshold to each
Region segmentation threshold value carries out numerical value adjustment, obtains region segmentation threshold value adjusted to export as region adjustment threshold value；Institute
It states in the first numerical value adjustment equipment, numerical value adjustment package is carried out to each region segmentation threshold value based on the whole segmentation threshold
Include: the size of the difference based on whole segmentation threshold to each region segmentation threshold value counts the region segmentation threshold value
Value adjustment；In first numerical value adjustment equipment, the difference based on the whole segmentation threshold to each region segmentation threshold value
It is the region segmentation threshold that value size, which includes: region segmentation threshold value adjusted to region segmentation threshold value progress numerical value adjustment,
Value with the difference a quarter and；
Second dividing processing equipment is connect with first numerical value adjustment equipment, for taking pair to each subgraph
The region adjustment threshold value answered is split processing, to obtain corresponding target subgraph, and all target subgraphs is carried out group
It closes to obtain and export image after combination；
Linear filtering equipment is connect with the second dividing processing equipment, for receiving image after the combination, to described
Image executes linear filtering processing after combination, to obtain and export corresponding linear filtering image；
Partitioned searching equipment is connect with the linear filtering equipment, for receiving the linear filtering image, to the line
Property filtering image execute homogenizing piecemeal processing, to obtain each homogenizing piecemeal, following operation is executed to each homogenizing piecemeal: being obtained
Take the mean value of the brightness value of each pixel of the homogenizing piecemeal；The partitioned searching equipment is also used to based on described each equal
The each mean value for changing piecemeal determines the image level luminance mean value of the linear filtering image, and mean value is equal to described image grade brightness
The homogenizing piecemeal that the absolute value of the difference of value transfinites is homogenized piecemeal as target, and exports each mesh in the linear filtering image
Mark homogenizing piecemeal；In the partitioned searching equipment, by the linear filtering image in addition to each target homogenizing piecemeal it is more
A homogenizing piecemeal exports the multiple homogenizing piecemeal to be filled as multiple homogenizing piecemeals to be filled；
Piecemeal deepens equipment, connect with the partitioned searching equipment, for executing edge to each target homogenizing piecemeal
Intensification processing is also used to for each intensification to be homogenized piecemeal and each homogenizing point to be filled to obtain corresponding intensification homogenizing piecemeal
Block is fitted, and to obtain Divided-fitting method image, and exports the Divided-fitting method image；
Gray scale judges equipment, deepens equipment with the piecemeal and connect, for receiving the Divided-fitting method image, based on described
The gray value of whole pixels of Divided-fitting method image calculates the average gray of the Divided-fitting method image, and gray scale is averaged
Value is compared with default gray value, and when average gray is less than or equal to default gray value, sending needs clean signal；
Driving equipment is cleaned, is arranged near the fixed desktop, judges that equipment is connect with the gray scale, for connecing
It receives described when needing clean signal, implements the instant clean operation to the fixed desktop；
Wherein, judge in equipment in the gray scale, when average gray is less than default gray value, sending does not need cleaning letter
Number.
Then, continue to carry out the specific structure of the fixation desktop maintenance system of the invention based on gray scale measurement further
Explanation.
In the fixation desktop maintenance system based on gray scale measurement: in the cleaning driving equipment, being also used to
When not needing clean signal described in receiving, stop the instant clean operation to the fixed desktop.
In the fixation desktop maintenance system based on gray scale measurement, further includes:
Component extraction equipment is connect with the CCD capture apparatus, for receiving the live desktop picture, extracts institute
The each R component value for stating each pixel in live desktop picture, based on each pixel in the live desktop picture
Each R component value calculate standard deviation, and when the standard deviation transfinites, pre-warning signal is blocked in sending, and in the standard
When difference does not transfinite, unobstructed standby signal is issued.
In the fixation desktop maintenance system based on gray scale measurement, further includes:
Detection device pixel-by-pixel is connect with the component extraction equipment, for receive it is described block pre-warning signal when,
Each brightness value of each pixel in the live desktop picture is extracted, and brightness value is less than or equal to predetermined luminance threshold value
Pixel as pixel is blocked, remove in the live desktop picture it is isolated block pixel, by the live desktop
Each non-orphaned in image blocks pixel composition and each blocks subgraph.
In the fixation desktop maintenance system based on gray scale measurement, further includes:
Subgraph judges equipment, connect with the detection device pixel-by-pixel, for receiving in the live desktop picture
It is each to block subgraph, quantity that each blocks pixel occupied by subgraph is calculated to block subgraph as correspondence
The subgraph that blocks that area is less than or equal to preset area threshold value is rejected, each blocks each of subgraph for remaining by area
Area is accumulative to block the gross area to obtain, and it is described block the gross area and transfinite when, alarm signal is blocked in sending, and described
When blocking the gross area does not transfinite, signal unconfirmed is blocked in sending.
In the fixation desktop maintenance system based on gray scale measurement, further includes:
Median filtering equipment judges that equipment is connect with the subgraph, for described blocking signal unconfirmed receiving
When, start the median filtering operation to the live desktop picture, by the filtered image replacement live desktop picture
Output, wherein filter window size used in the median filtering operation to described to block the gross area directly proportional.
In the fixation desktop maintenance system based on gray scale measurement, further includes:
Onsite alarming equipment judges that equipment is connect with the subgraph, for receive it is described block alarm signal, will
The alarm signal of blocking is wirelessly transmitted at the management server of distal end.
In the fixation desktop maintenance system based on gray scale measurement: in the median filtering equipment, when receiving
It is described when blocking confirmation signal, median filtering operation is not carried out to the live desktop picture.
And in the fixation desktop maintenance system based on gray scale measurement: in the onsite alarming equipment, when connecing
When blocking signal unconfirmed described in receiving, the transmission without any alarm signal.
In addition, the image filtering that the homomorphic filtering equipment executes, right under conditions of retaining image minutia as far as possible
The noise of target image is inhibited, and is indispensable operation in image preprocessing, and the quality for the treatment of effect is by direct shadow
The validity and reliability for handling and analyzing is rung to subsequent image.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake
The often pollution by a variety of noises in journey.In addition, certain links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on the image and cause the isolated of stronger visual effect
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image recognition.The filter for constructing a kind of effectively inhibition noise must be taken into consideration
Two basic problems: the noise that can be effectively removed in target and background；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One of common image filtering mode is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
When composing aliasing or such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while filtering out noise, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approximatively can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Using the fixation desktop maintenance system of the invention based on gray scale measurement, needed for desktop in the prior art frequent
The technical issues of cleaning, by each height for carrying out homomorphic filtering processing, histogram equalization processing and image segmentation to image
The adjusting thresholds of image further reduce the range of image recognition, reduce data volume for subsequent image processing；Deviateed based on content
The search result for spending biggish piecemeal carries out targetedly edge intensification to the piecemeal of acquisition and handles, adds to improve edge
The efficiency of depths reason；Circumstance of occlusion analysis is carried out to the image of CCD capture apparatus shooting, to determine that picture material brightness value is small
The more situation of pixel is blocking from the external world or picture material itself, to determine to be grasped using the removal of external interference
Make or the removal of internal interference operates；On the basis of above-mentioned high-precision image real time transfer, desktop picture can be based on
Gray analysis result determine whether to execute instant cleaning action, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (9)
1. a kind of fixation desktop maintaining method based on gray scale measurement, including providing and running the fixation desktop based on gray scale measurement
Maintenance system, the fixation desktop maintenance system based on gray scale measurement include:
Fixed desktop, is arranged above table leg, using glass structure, for providing place to the use of desk for user；
CCD capture apparatus, for carrying out image data induction in face of desktop to export corresponding live desktop picture；
Homomorphic filtering equipment is connect with the CCD capture apparatus, for receiving the live desktop picture, to the live table
Face image executes homomorphic filtering processing, to obtain corresponding homomorphic filtering image, wherein the noise width of the scene desktop picture
Degree is bigger, and the intensity of the homomorphic filtering processing of execution is bigger；
Equilibrium treatment equipment is connect with the homomorphic filtering equipment, for receiving the homomorphic filtering image, is filtered to the homomorphism
Wave image executes histogram equalization processing, to obtain corresponding histogram equalization image；
First threshold extract equipment is connect with the equilibrium treatment equipment, for receiving the histogram equalization image, is based on institute
The distribution situation for stating the pixel value of each pixel inside histogram equalization image determines that the histogram equalization image is corresponding
Whole segmentation threshold；
First Parameter analysis of electrochemical equipment compares the histogram equalization image for receiving the histogram equalization image
Degree analysis, to obtain and export corresponding contrast；
First dividing processing equipment is connect with the first Parameter analysis of electrochemical equipment, for receiving the contrast, and based on described
Contrast carries out image dividing processing to the histogram equalization image, to obtain multiple subgraphs, wherein the contrast is got over
The quantity of height, the subgraph of acquisition is more；
Second threshold extract equipment is connect with the first dividing processing equipment, for receiving the multiple subgraph, based on every
The distribution situation of the pixel value of each pixel determines the corresponding region segmentation threshold value of the subgraph inside one subgraph, defeated
The corresponding each region segmentation threshold of each subgraph out；
First numerical value adjusts equipment, connect respectively with the second threshold extract equipment and the first threshold extract equipment, uses
In the reception whole segmentation threshold and each region segmentation threshold, and based on the whole segmentation threshold to each region point
It cuts threshold value and carries out numerical value adjustment, obtain region segmentation threshold value adjusted to export as region adjustment threshold value；Described first
Numerical value adjusts in equipment, and carrying out numerical value adjustment to each region segmentation threshold value based on the whole segmentation threshold includes: to be based on
The size of the difference of the entirety segmentation threshold to each region segmentation threshold value carries out numerical value adjustment to the region segmentation threshold value；
In first numerical value adjustment equipment, the size of the difference pair based on the whole segmentation threshold to each region segmentation threshold value
The region segmentation threshold value carry out numerical value adjustment include: region segmentation threshold value adjusted be the region segmentation threshold value with it is described
The sum of difference a quarter；
Second dividing processing equipment is connect with first numerical value adjustment equipment, corresponding for taking each subgraph
Region adjustment threshold value is split processing, to obtain corresponding target subgraph, and by all target subgraphs be combined with
It obtains and exports image after combination；
Linear filtering equipment is connect with the second dividing processing equipment, for receiving image after the combination, to the combination
Image executes linear filtering processing afterwards, to obtain and export corresponding linear filtering image；
Partitioned searching equipment is connect with the linear filtering equipment, for receiving the linear filtering image, to the linear filter
Wave image executes homogenizing piecemeal processing, to obtain each homogenizing piecemeal, executes following operation to each homogenizing piecemeal: obtaining institute
State the mean value of the brightness value of each pixel of homogenizing piecemeal；The partitioned searching equipment is also used to based on each homogenizing point
Each mean value of block determines the image level luminance mean value of the linear filtering image, by mean value to described image grade luminance mean value it
The homogenizing piecemeal that absolute value of the difference transfinites is homogenized piecemeal as target, and each target exported in the linear filtering image is equal
Change piecemeal；In the partitioned searching equipment, by the linear filtering image in addition to each target homogenizing piecemeal it is multiple
Change piecemeal as multiple homogenizing piecemeals to be filled, and exports the multiple homogenizing piecemeal to be filled；
Piecemeal deepens equipment, connect with the partitioned searching equipment, deepens for executing edge to each target homogenizing piecemeal
Processing, to obtain corresponding intensifications homogenizing piecemeal, be also used to by each intensification homogenizing piecemeal and each homogenizing piecemeal to be filled into
Row fitting, to obtain Divided-fitting method image, and exports the Divided-fitting method image；
Gray scale judges equipment, deepens equipment with the piecemeal and connect, and for receiving the Divided-fitting method image, is based on the piecemeal
The gray value for being fitted whole pixels of image calculates the average gray of the Divided-fitting method image, and by average gray with
Default gray value is compared, and when average gray is less than or equal to default gray value, sending needs clean signal；
Driving equipment is cleaned, is arranged near the fixed desktop, judges that equipment is connect with the gray scale, for receiving
It is described when needing clean signal, implement the instant clean operation to the fixed desktop；
Wherein, judge in equipment in the gray scale, when average gray is less than default gray value, sending does not need clean signal.
2. the method as described in claim 1, it is characterised in that:
In the cleaning driving equipment, be also used to receive it is described do not need clean signal when, stop to the table dormant
The instant clean operation in face.
3. method according to claim 2, which is characterized in that the system also includes:
Component extraction equipment is connect with the CCD capture apparatus, for receiving the live desktop picture, is extracted described existing
Each R component value of each pixel in the desktop picture of field, based on each of each pixel in the live desktop picture
A R component value calculates standard deviation, and when the standard deviation transfinites, and pre-warning signal is blocked in sending, and the standard deviation not
When transfiniting, unobstructed standby signal is issued.
4. method as claimed in claim 3, which is characterized in that the system also includes:
Detection device pixel-by-pixel is connect with the component extraction equipment, for receive it is described block pre-warning signal when, extract
Each brightness value of each pixel in the scene desktop picture, and the picture by brightness value less than or equal to predetermined luminance threshold value
Vegetarian refreshments as pixel is blocked, remove in the live desktop picture it is isolated block pixel, by the live desktop picture
In each non-orphaned block pixel composition and each block subgraph.
5. method as claimed in claim 4, which is characterized in that the system also includes:
Subgraph judges equipment, connect with the detection device pixel-by-pixel, each in the live desktop picture for receiving
Subgraph is blocked, calculates quantity that each blocks pixel occupied by subgraph using as the corresponding face for blocking subgraph
Product is rejected the subgraph that blocks that area is less than or equal to preset area threshold value, by remaining each each face for blocking subgraph
Accumulation meter to obtain blocks the gross area, and it is described block the gross area and transfinite when, alarm signal is blocked in sending, and in the screening
When the gear gross area does not transfinite, signal unconfirmed is blocked in sending.
6. method as claimed in claim 5, which is characterized in that the system also includes:
Median filtering equipment judges that equipment is connect with the subgraph, for receive it is described block signal unconfirmed when, open
The dynamic median filtering operation to the live desktop picture exports the filtered image replacement live desktop picture,
Wherein, filter window size used in the median filtering operation to described to block the gross area directly proportional.
7. method as claimed in claim 6, which is characterized in that the system also includes:
Onsite alarming equipment judges that equipment is connect with the subgraph, for receive it is described block alarm signal, will be described
Alarm signal is blocked to be wirelessly transmitted at the management server of distal end.
8. the method for claim 7, it is characterised in that:
In the median filtering equipment, when receive it is described block confirmation signal when, the live desktop picture is not carried out
Median filtering operation.
9. method according to claim 8, it is characterised in that:
In the onsite alarming equipment, when receive it is described block signal unconfirmed when, hair without any alarm signal
It send.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102283616A (en) * | 2010-10-22 | 2011-12-21 | 青岛科技大学 | Domestic intelligent cleaning system based on machine vision |
| CN102613944A (en) * | 2012-03-27 | 2012-08-01 | 复旦大学 | Dirt recognizing system of cleaning robot and cleaning method |
| EP2957206A1 (en) * | 2014-06-16 | 2015-12-23 | LG Electronics Inc. | Robot cleaner and method for controlling the same |
| CN105868748A (en) * | 2016-06-27 | 2016-08-17 | 张华华 | Data service platform on basis of cloud processing |
| CN106821155A (en) * | 2017-04-01 | 2017-06-13 | 小狗电器互联网科技（北京）股份有限公司 | A kind of image control dust collection power sweeping robot and control method |
| CN107437248A (en) * | 2017-08-04 | 2017-12-05 | 陈思 | A kind of method of smart fields detection textile product quality |
| CN107536567A (en) * | 2017-09-29 | 2018-01-05 | 成都意町工业产品设计有限公司 | A kind of curtain wall cleans rail detection system |
-
2018
- 2018-05-27 CN CN201810518240.9A patent/CN110522349B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102283616A (en) * | 2010-10-22 | 2011-12-21 | 青岛科技大学 | Domestic intelligent cleaning system based on machine vision |
| CN102613944A (en) * | 2012-03-27 | 2012-08-01 | 复旦大学 | Dirt recognizing system of cleaning robot and cleaning method |
| EP2957206A1 (en) * | 2014-06-16 | 2015-12-23 | LG Electronics Inc. | Robot cleaner and method for controlling the same |
| CN105868748A (en) * | 2016-06-27 | 2016-08-17 | 张华华 | Data service platform on basis of cloud processing |
| CN106821155A (en) * | 2017-04-01 | 2017-06-13 | 小狗电器互联网科技（北京）股份有限公司 | A kind of image control dust collection power sweeping robot and control method |
| CN107437248A (en) * | 2017-08-04 | 2017-12-05 | 陈思 | A kind of method of smart fields detection textile product quality |
| CN107536567A (en) * | 2017-09-29 | 2018-01-05 | 成都意町工业产品设计有限公司 | A kind of curtain wall cleans rail detection system |
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