CN106974540B - Curtain state transition platform based on wind-force detection - Google Patents

Curtain state transition platform based on wind-force detection Download PDF

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Publication number
CN106974540B
CN106974540B CN201710370754.XA CN201710370754A CN106974540B CN 106974540 B CN106974540 B CN 106974540B CN 201710370754 A CN201710370754 A CN 201710370754A CN 106974540 B CN106974540 B CN 106974540B
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image
wind
noise
detection device
force detection
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CN106974540A (en
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李海英
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Xuzhou Tiancheng Intelligent Technology Co., Ltd
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胡海明
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    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47HFURNISHINGS FOR WINDOWS OR DOORS
    • A47H5/00Devices for drawing draperies, curtains, or the like
    • A47H5/02Devices for opening and closing curtains
    • G06T5/70
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47HFURNISHINGS FOR WINDOWS OR DOORS
    • A47H5/00Devices for drawing draperies, curtains, or the like
    • A47H5/02Devices for opening and closing curtains
    • A47H2005/025Devices for opening and closing curtains controlled by electronic sensors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20021Dividing image into blocks, subimages or windows
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20024Filtering details
    • G06T2207/20032Median filtering

Abstract

The present invention relates to a kind of curtain state transition platforms based on wind-force detection, including wind-force detection device, image capture device, motor driving apparatus and embedded processing equipment, the wind-force detection device blows over the real-time wind speed of curtain for detecting, the scene that described image collecting device is used for outside to curtain carries out the acquisition of high definition scene image to obtain high definition scene image, the motor driving apparatus is used to control the switching between the opening state of curtain and collapsed state by direct current generator, the embedded processing equipment determines to be sent to the control signal of the motor driving apparatus based on the output of the wind-force detection device and the output of described image collecting device.It is damaged by means of the invention it is possible to pack up curtain automatically in the case where wind speed is too fast to avoid to curtain.

Description

Curtain state transition platform based on wind-force detection
Technical field
The present invention relates to automation field more particularly to a kind of curtain state transition platforms based on wind-force detection.
Background technology
The material of window generally speaking, can be divided into three categories:Wooden, plastic-steel, aluminium alloy.Three has his own strong points.
Plastic-steel:Because being plastic material, weight is small, and heat-proof quality is good, and price is relatively low.Because often In face of exposing to wind and rain, the sun shines, so people is most allowed to concern the anti-aging problem of plastic-steel window.In fact, the plastic-steel window of high-quality Service life up to 100 years or so.
Aluminium alloy:Because being metal material, there is no problem of aging, and firm, impact resistance, intensity are big.But It is exactly heat-proof quality that aluminum window, which is easiest to attacked weakness, because metal be heat good conductor, it is extraneous with it is indoor Temperature can be transferred with the frame of window.
But it is worth query, the ratio on a fan window shared by frame is simultaneously not very big, and window is not one block of metal Plate, but the glass of frame is inlayed, the heat transferred by frame edge strip actually can be to there is the generation of the indoor temperature of warmer, air-conditioning Great influence
But that precautions averts perils is good, this problem, employs " bridge cut-off " skill on the aluminium alloy window having in order to prevent Art adds one layer of resin material that is, in aluminum alloy window frame, has thoroughly broken off the approach of heat conduction.
It is wooden:Comparatively, wooden should be forms frame material the most perfect, no matter from heat-insulated, sound insulation angularly For have apparent advantage, and inherent texture and natural figure are more moving.It is actual although wooden On some be used to doing the solid wood of window frame and have already been through processing special layer by layer, not only without moisture, it is desirable that it is higher even Fat is sucked, so, so-called wooden actually as fossil, solid wood after treatment is only protected The appearance of timber has been stayed, quality is but completely different, will not cracking deformation, less suffers insect bite with worry, is corroded, moreover, Intensity also greatly increases.
In addition, also a kind of frame structure is referred to as aluminium Bao Mu, the outdoor part of wood frame is one layer of aluminium alloy structure, In fact, this be combine wood frame thermal insulation it is good and the advantages of intensity of aluminum alloy is high, integrate, maximize favourable factors and minimize unfavourable ones. The wooden unique shortcoming of window is exactly that cost is too high.
The selection to the material of window and structurally is excessively paid close attention in the prior art, and for the mating curtain opening of window Control concern is less, especially to external wind speed it is excessive or in the case of passing through there are human body curtain this how to act shortage and grind Study carefully.
The content of the invention
It to solve the above-mentioned problems, can the present invention provides a kind of curtain state transition platform based on wind-force detection When the wind speed for receiving the wind-force detection device output crosses fast signal, control letter is packed up to motor driving apparatus transmission Number to pack up curtain, additionally it is possible to when receiving the identification human body signal, control is packed up to motor driving apparatus transmission Signal is simultaneously stopped the output based on the wind-force detection device and sends control letter to the motor driving apparatus to pack up curtain Number.
According to an aspect of the present invention, a kind of curtain state transition platform based on wind-force detection, the platform are provided Including wind-force detection device, image capture device, motor driving apparatus and embedded processing equipment, the embedded processing is set Back-up is not connected with the wind-force detection device, described image collecting device and the motor driving apparatus, the wind-force detection Equipment blows over the real-time wind speed of curtain for detecting, and the scene that described image collecting device is used for outside to curtain carries out high definition scene For Image Acquisition to obtain high definition scene image, the motor driving apparatus is used to control the open shape of curtain by direct current generator Switching between state and collapsed state;
Wherein, output and described image collecting device of the embedded processing equipment based on the wind-force detection device Output determines to be sent to the control signal of the motor driving apparatus.
More specifically, described based in the curtain state transition platform of wind-force detection, the platform further includes:
Contrast enhances equipment, inside Curtain rod, is connected with described image collecting device, clears out a gathering place for receiving height Scape image, and contrast enhancement processing is performed to high definition scene image to obtain enhancing image.
More specifically, described based in the curtain state transition platform of wind-force detection, the platform further includes:
Mean square deviation detection device enhances image for receiving, and is determined based on the pixel value of each pixel of enhancing image Enhance the mean square deviation of image pixel value to be exported as target mean square error.
More specifically, described based in the curtain state transition platform of wind-force detection, the platform further includes:
Signal-to-noise ratio detection device enhances image for receiving, and noise analysis is carried out to enhancing image, to obtain noise amplitude The secondary noise signal of maximum main noise signal and noise amplitude time greatly, based on main noise signal, secondary noise signal and enhancing Image determines that the signal-to-noise ratio of enhancing image to export as target signal to noise ratio, is additionally operable to judge with true enhancing image progress scene Surely enhance the distribution situation of pixel pixel value in image, each pixel in enhancing image is clicked through based on the distribution situation Row pixel value is analyzed to determine whether as noise spot, will be formed multiple noise regions by each noise spot in enhancing image, and be determined every The area and shape of one noise region, and by the Area summing of each noise region to obtain the noise region gross area;
Modified medium filtering equipment, is connected respectively with mean square deviation detection device and signal-to-noise ratio detection device, for When target signal to noise ratio is less than or equal to preset snr threshold and target mean square error is more than or equal to default mean deviation threshold, from power saving shape State enters working condition, receives the shape of each noise region, the geometric properties of the shape based on each noise region, will Each noise region splits into multiple benchmark subregions, the shape of each benchmark subregion be it is square, circular or linear, it is right Each noise region, each benchmark subregion after being split for it, selects corresponding medium filtering template to perform respectively Each sub-regions filter pattern to obtain each sub-regions filter pattern, and is combined into filtered noise range by medium filtering Domain subgraph, and the non-noise region enhanced in image is combined to obtain medium filtering figure with each noise region subgraph Picture;
Gaussian filtering equipment is set respectively with the detection of modified medium filtering equipment, mean square deviation detection device and signal-to-noise ratio Standby connection, for being more than or equal to default mean square deviation threshold less than or equal to default snr threshold and target mean square error in target signal to noise ratio During value, enter working condition from power down mode, receive medium filtering image and gaussian filtering process is carried out to medium filtering image To obtain gaussian filtering image;
Human bioequivalence equipment is connected with gaussian filtering equipment, for receiving gaussian filtering image, to gaussian filtering image, For identifying the human body pixel in gaussian filtering image based on human body upper limit gray threshold and human body lower limit gray threshold, based on height All human body pixels composition human body subgraph in this filtering image, when area and the gaussian filtering image of human body subgraph Area ratio be more than or equal to preset ratio threshold value when, send identification human body signal, otherwise, send other echo signals;
Wherein, in enhancing image, the region outside multiple noise regions is non-noise region;
Wherein, enhancing the distribution situation of pixel pixel value in image is included for each pixel in enhancing image Region determine the pixel value range that the pixel pixel value should belong to;
Wherein, the embedded processing equipment is connected respectively with the human bioequivalence equipment and the wind-force detection device, For when receiving the identification human body signal, packing up control signal to motor driving apparatus transmission, being simultaneously stopped base In the output of the wind-force detection device control signal is sent to the motor driving apparatus;The embedded processing equipment is also used In when receiving other described echo signals, recover the output based on the wind-force detection device to the motor driving apparatus Send control signal.
More specifically, described based in the curtain state transition platform of wind-force detection:
Output of the embedded processing equipment based on the wind-force detection device sends to the motor driving apparatus and controls Signal processed includes:When the wind speed for receiving the wind-force detection device output crosses fast signal, sent out to the motor driving apparatus It send and packs up control signal.
More specifically, described based in the curtain state transition platform of wind-force detection:
Output of the embedded processing equipment based on the wind-force detection device sends to the motor driving apparatus and controls Signal processed further includes:When receiving the wind speed normal signal of the wind-force detection device output, to the motor driving apparatus It sends and opens control signal.
More specifically, described based in the curtain state transition platform of wind-force detection:
When the shape of benchmark subregion is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, when When the shape of benchmark subregion is circular, the radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, when benchmark When the shape in region is linear, each benchmark subregion is an one-dimensional pixel set.
More specifically, described based in the curtain state transition platform of wind-force detection:
In the contrast enhancing equipment, the mean square deviation detection device, the signal-to-noise ratio detection device, the modified Value filtering equipment, the gaussian filtering equipment and the human bioequivalence equipment are respectively adopted different on piece chip SOC and come in fact It is existing.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein:
Fig. 1 is the structure box of the curtain state transition platform based on wind-force detection according to embodiment of the present invention Figure.
Reference numeral:1 wind-force detection device;2 image capture devices;3 motor driving apparatus;4 embedded processing equipment
Specific embodiment
The embodiment of the curtain state transition platform based on wind-force detection of the present invention is carried out below with reference to accompanying drawings It is described in detail.
The effect of window is more than used for having a look at outside scene, largely, determines the matter that we live Amount, but sometimes, many problems we never pay attention to obtaining.
Family is our institute inhabited, and is the relatively independent subenvironment that we build ourselves, keeps out the wind and take shelter from rain, sunshade Sound insulation is protected and oneself invaded and harassed to any from extraneous factor.Say it is opposite independence, be because we can not possibly be complete Depart from extraneous environment and live by oneself, it would be desirable to which there are one rational exchange and exchanges for indoor and outdoor energy.In this small ring In border, people need suitable temperature, humidity, air and light, also to there is the acoustic environment for being suitble to oneself.
How in the case where skipping manually-operated pattern, voluntarily according to external environment, such as wind speed and passerby be by situation, from The dynamic curtain control strategy for judging to meet people's demand is the blank part of current window relevant control model study.In order to gram Above-mentioned deficiency is taken, the present invention has built a kind of curtain state transition platform based on wind-force detection, solved above-mentioned technical problem.
Fig. 1 is the structure box of the curtain state transition platform based on wind-force detection according to embodiment of the present invention Figure, the platform includes wind-force detection device, image capture device, motor driving apparatus and embedded processing equipment, described Embedded processing equipment is connected respectively with the wind-force detection device, described image collecting device and the motor driving apparatus, The wind-force detection device blows over the real-time wind speed of curtain for detecting, and described image collecting device is used for the scene outside to curtain The acquisition of high definition scene image is carried out to obtain high definition scene image, the motor driving apparatus is used to control by direct current generator Switching between the opening state and collapsed state of curtain;
Wherein, output and described image collecting device of the embedded processing equipment based on the wind-force detection device Output determines to be sent to the control signal of the motor driving apparatus.
Then, continue to carry out the concrete structure of the curtain state transition platform based on wind-force detection of the present invention further Explanation.
The platform can also include:Contrast enhances equipment, inside Curtain rod, with described image collecting device Connection for receiving high definition scene image, and performs contrast enhancement processing to obtain enhancing image to high definition scene image.
The platform can also include:Mean square deviation detection device enhances image for receiving, based on each of enhancing image The pixel value of pixel determines the mean square deviation of enhancing image pixel value to be exported as target mean square error.
The platform can also include:
Signal-to-noise ratio detection device enhances image for receiving, and noise analysis is carried out to enhancing image, to obtain noise amplitude The secondary noise signal of maximum main noise signal and noise amplitude time greatly, based on main noise signal, secondary noise signal and enhancing Image determines that the signal-to-noise ratio of enhancing image to export as target signal to noise ratio, is additionally operable to judge with true enhancing image progress scene Surely enhance the distribution situation of pixel pixel value in image, each pixel in enhancing image is clicked through based on the distribution situation Row pixel value is analyzed to determine whether as noise spot, will be formed multiple noise regions by each noise spot in enhancing image, and be determined every The area and shape of one noise region, and by the Area summing of each noise region to obtain the noise region gross area;
Modified medium filtering equipment, is connected respectively with mean square deviation detection device and signal-to-noise ratio detection device, for When target signal to noise ratio is less than or equal to preset snr threshold and target mean square error is more than or equal to default mean deviation threshold, from power saving shape State enters working condition, receives the shape of each noise region, the geometric properties of the shape based on each noise region, will Each noise region splits into multiple benchmark subregions, the shape of each benchmark subregion be it is square, circular or linear, it is right Each noise region, each benchmark subregion after being split for it, selects corresponding medium filtering template to perform respectively Each sub-regions filter pattern to obtain each sub-regions filter pattern, and is combined into filtered noise range by medium filtering Domain subgraph, and the non-noise region enhanced in image is combined to obtain medium filtering figure with each noise region subgraph Picture;
Gaussian filtering equipment is set respectively with the detection of modified medium filtering equipment, mean square deviation detection device and signal-to-noise ratio Standby connection, for being more than or equal to default mean square deviation threshold less than or equal to default snr threshold and target mean square error in target signal to noise ratio During value, enter working condition from power down mode, receive medium filtering image and gaussian filtering process is carried out to medium filtering image To obtain gaussian filtering image;
Human bioequivalence equipment is connected with gaussian filtering equipment, for receiving gaussian filtering image, to gaussian filtering image, For identifying the human body pixel in gaussian filtering image based on human body upper limit gray threshold and human body lower limit gray threshold, based on height All human body pixels composition human body subgraph in this filtering image, when area and the gaussian filtering image of human body subgraph Area ratio be more than or equal to preset ratio threshold value when, send identification human body signal, otherwise, send other echo signals;
Wherein, in enhancing image, the region outside multiple noise regions is non-noise region;
Wherein, enhancing the distribution situation of pixel pixel value in image is included for each pixel in enhancing image Region determine the pixel value range that the pixel pixel value should belong to;
Wherein, the embedded processing equipment is connected respectively with the human bioequivalence equipment and the wind-force detection device, For when receiving the identification human body signal, packing up control signal to motor driving apparatus transmission, being simultaneously stopped base In the output of the wind-force detection device control signal is sent to the motor driving apparatus;The embedded processing equipment is also used In when receiving other described echo signals, recover the output based on the wind-force detection device to the motor driving apparatus Send control signal.
In the platform:Output of the embedded processing equipment based on the wind-force detection device is driven to the motor Dynamic equipment, which sends control signal, to be included:When the wind speed for receiving the wind-force detection device output crosses fast signal, to the electricity Control signal is packed up in the transmission of machine driving equipment.
In the platform:Output of the embedded processing equipment based on the wind-force detection device is driven to the motor Dynamic equipment sends control signal and further includes:When receiving the wind speed normal signal of wind-force detection device output, to described Motor driving apparatus, which is sent, opens control signal.
In the platform:When benchmark subregion shape for it is square when, the size of each benchmark subregion is 3 × 3, 5 × 5 or 7 × 7, when the shape of benchmark subregion is circular, the radius of each benchmark subregion is 3 pixels, 5 pixels or 7 Pixel, when the shape of benchmark subregion is linear, each benchmark subregion is an one-dimensional pixel set.
In the platform:The contrast enhancing equipment, the mean square deviation detection device, signal-to-noise ratio detection are set Standby, described modified medium filtering equipment, the gaussian filtering equipment and the human bioequivalence equipment are respectively adopted different On piece chip SOC is realized.
In addition, medium filtering has impulsive noise and good filters out effect, particularly while noise is filtered out, Neng Goubao The edge of signal is protected, is allowed to not be blurred.These good characteristics are that linear filter method is not had.In addition, medium filtering Algorithm comparison it is simple, be also easy to use hardware realization.So median filter method is after proposition, just in Digital Signal Processing Neck obtains important application.
Medium filtering is a kind of nonlinear signal processing technology that can effectively inhibit noise based on sequencing statistical theory, in The basic principle of value filtering is the value any in digital picture or Serial No. in each point value in a neighborhood of the point Value replaces, the actual value for making the pixel value of surrounding close, so as to eliminate isolated noise spot.Method is the two dimension with certain structure Pixel in plate is ranked up by sleiding form according to the size of pixel value, and generation monotone increasing (or decline) is 2-D data Sequence.Two dimension median filter output is g (x, y)=med { f (x-k, y-l), (k, l ∈ W) }, wherein, f (x, y), g (x, y) points It Wei not original image and image after processing.W is two dimension pattern plate, usually 3*3,5*5 regions or different shapes, such as Wire, circular, cross, circular ring shape etc..
Curtain state transition platform using the present invention based on wind-force detection, for lacking in the prior art to curtain control Molding formula carries out the technical issues of Depth Study, by being detected and analyzed to real-time wind speed and passing through to outdoor passerby Situation is detected and analyzed, and on the basis of above-mentioned analysis, opens voluntarily or packs up curtain, meet people becalm to curtain with And the demand of protection privacy, so as to avoid excessive concern of the people to curtain, good living environment is provided for people.
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 those skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above or are revised as With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention, technical spirit pair according to the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the scope of technical solution of the present invention protection It is interior.

Claims (4)

1. a kind of curtain state transition platform based on wind-force detection, the platform includes wind-force detection device, Image Acquisition is set Standby, motor driving apparatus and embedded processing equipment, the embedded processing equipment respectively with the wind-force detection device, institute It states image capture device to connect with the motor driving apparatus, the wind-force detection device blows over the real-time wind of curtain for detecting Speed, the scene that described image collecting device is used for outside to curtain carry out the acquisition of high definition scene image to obtain high definition scene image, The motor driving apparatus is used to control the switching between the opening state of curtain and collapsed state by direct current generator;
Wherein, the output of output and described image collecting device of the embedded processing equipment based on the wind-force detection device Determine to be sent to the control signal of the motor driving apparatus;
Contrast enhances equipment, inside Curtain rod, is connected with described image collecting device, for receiving high definition scene graph Picture, and contrast enhancement processing is performed to high definition scene image to obtain enhancing image;
Mean square deviation detection device enhances image for receiving, and determines to enhance based on the pixel value of each pixel of enhancing image The mean square deviation of image pixel value as target mean square error to export;
It is characterized in that, the platform further includes:
Signal-to-noise ratio detection device enhances image for receiving, and noise analysis is carried out to enhancing image, to obtain noise amplitude maximum Main noise signal and the big secondary noise signal of noise amplitude time, based on main noise signal, secondary noise signal and enhance image Determine that the signal-to-noise ratio of enhancing image to export as target signal to noise ratio, is additionally operable to that enhancing image progress scene is judged to determine to increase The distribution situation of pixel pixel value in strong image carries out picture based on the distribution situation to each pixel in enhancing image Plain value is analyzed to determine whether as noise spot, will the multiple noise regions of each noise spot composition in enhancing image, determine each The area and shape of noise region, and by the Area summing of each noise region to obtain the noise region gross area;
Modified medium filtering equipment, is connected respectively with mean square deviation detection device and signal-to-noise ratio detection device, in target Signal-to-noise ratio is less than or equal to default snr threshold and when target mean square error is more than or equal to default mean deviation threshold, from power down mode into Enter working condition, receive the shape of each noise region, the geometric properties of the shape based on each noise region will be each A noise region splits into multiple benchmark subregions, and the shape of each benchmark subregion is square, circular or linear, to each A noise region, each benchmark subregion after being split for it, selects corresponding medium filtering template to perform intermediate value respectively Each sub-regions filter pattern to obtain each sub-regions filter pattern, and is combined into filtered noise region by filtering Image, and the non-noise region enhanced in image is combined to obtain medium filtering image with each noise region subgraph;
Gaussian filtering equipment connects respectively with modified medium filtering equipment, mean square deviation detection device and signal-to-noise ratio detection device It connects, for being more than or equal to default mean deviation threshold less than or equal to default snr threshold and target mean square error in target signal to noise ratio When, enter working condition from power down mode, receive medium filtering image and medium filtering image is carried out gaussian filtering process with Obtain gaussian filtering image;
Human bioequivalence equipment is connected with gaussian filtering equipment, for receiving gaussian filtering image, to gaussian filtering image, is used for Based on the human body pixel in human body upper limit gray threshold and human body lower limit gray threshold identification gaussian filtering image, filtered based on Gauss All human body pixels composition human body subgraph in ripple image, when the face of the area and the gaussian filtering image of human body subgraph When long-pending ratio is more than or equal to preset ratio threshold value, identification human body signal is sent, otherwise, sends other echo signals;
Wherein, in enhancing image, the region outside multiple noise regions is non-noise region;
Wherein, enhancing the distribution situation of pixel pixel value in image includes enhancing the institute in image for each pixel The pixel value range that the pixel pixel value should belong to is determined in region;
Wherein, the embedded processing equipment is connected respectively with the human bioequivalence equipment and the wind-force detection device, is used for When receiving the identification human body signal, control signal is packed up to motor driving apparatus transmission, is simultaneously stopped based on institute The output for stating wind-force detection device sends control signal to the motor driving apparatus;The embedded processing equipment is additionally operable to When receiving other described echo signals, recover the output based on the wind-force detection device and sent to the motor driving apparatus Control signal;
Wherein, the medium filtering pattern in the modified medium filtering equipment, filters out impulsive noise effect, makes an uproar filtering out While sound, it is capable of the edge of protection signal, is allowed to not be blurred, these characteristics is that linear filter method is not had;Institute It is that can inhibit the non-thread of noise based on a kind of of sequencing statistical theory to state the medium filtering pattern in modified medium filtering equipment Property signal processing model, the basic principle of medium filtering are one with the point the value of any in digital picture or Serial No. The Mesophyticum of each point value replaces in neighborhood, the actual value for making the pixel value of surrounding close, described to change so as to eliminate isolated noise spot It is the two-dimentional sleiding form with certain structure into the medium filtering pattern in type medium filtering equipment, by pixel in plate according to pixel The size of value is ranked up, and generates the 2-D data sequence of monotone increasing or decline.
2. the curtain state transition platform as described in claim 1 based on wind-force detection, it is characterised in that:
Output of the embedded processing equipment based on the wind-force detection device sends control letter to the motor driving apparatus Number include:When the wind speed for receiving the wind-force detection device output crosses fast signal, send and receive to the motor driving apparatus Play control signal.
3. the curtain state transition platform as claimed in claim 2 based on wind-force detection, it is characterised in that:
Output of the embedded processing equipment based on the wind-force detection device sends control letter to the motor driving apparatus It number further includes:When receiving the wind speed normal signal of the wind-force detection device output, sent to the motor driving apparatus Open control signal.
4. the curtain state transition platform as claimed in claim 3 based on wind-force detection, it is characterised in that:
When the shape of benchmark subregion is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, works as benchmark When the shape of subregion is circular, the radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, when benchmark subregion Shape for it is linear when, each benchmark subregion be an one-dimensional pixel set.
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