CN107272083A - Intelligent safety inspection method in a kind of life staying idle at home - Google Patents
Intelligent safety inspection method in a kind of life staying idle at home Download PDFInfo
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- CN107272083A CN107272083A CN201710654161.6A CN201710654161A CN107272083A CN 107272083 A CN107272083 A CN 107272083A CN 201710654161 A CN201710654161 A CN 201710654161A CN 107272083 A CN107272083 A CN 107272083A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000007689 inspection Methods 0.000 title claims abstract description 8
- 238000001514 detection method Methods 0.000 claims abstract description 23
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- 230000004069 differentiation Effects 0.000 claims description 26
- 230000002708 enhancing effect Effects 0.000 claims description 24
- 238000003860 storage Methods 0.000 claims description 9
- 230000015556 catabolic process Effects 0.000 claims description 8
- 238000006731 degradation reaction Methods 0.000 claims description 8
- 238000012935 Averaging Methods 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000006872 improvement Effects 0.000 claims description 5
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- 238000005516 engineering process Methods 0.000 description 3
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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- G06T5/70—
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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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
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20216—Image averaging
Abstract
The present invention relates to intelligent safety inspection method in a kind of life staying idle at home, this method includes：There is provided and use smart home safety check accessory system.The smart home safety check accessory system includes household carpet, sound detection equipment, ultrasonic detecting equipment and user-identification device, the household carpet is arranged on room main entrance rear, for reducing the dust that Migrant women is brought to room, the sound detection equipment is arranged on room main entrance, it nearby whether there is voice for detecting, and when there is voice, send the first human testing signal；Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right sides of the household carpet, for detecting whether there is Migrant women to enter room, and when having detected Migrant women into room, sends the second human testing signal.By means of the invention it is possible to the safety of powerful guarantee domestic environment.
Description
Technical field
The present invention relates to intelligent safety inspection method in carpet applications, more particularly to a kind of life staying idle at home.
Background technology
Carpet can be added in any family as feature and decoration.It is keep house cleaning, as appoint
What room is interspersed, to increase its beauty.
But one it is main the problem of, some carpets, it is easy to move around may cause accident, for staying in house
People.In fact, according to statistics, it is frequent thing that carpet, which skids, occurs accident at home when it is related to such case.This
It is exactly why it is extremely important, how keeps carpet non-slip, prevents any unnecessary unexpected generation in your family.
There are many different modes, keep the stable position of carpet.Firstth, using two-sided tape, two-sided tape picture is common
Adhesive tape, but both sides are all attached to, what can be done is two-sided tape is bonded at carpet one jiao, if carpet still can be a little
It is sliding, try some bands being bonded at centre, be allowed to safer；2nd, using rubber ring, rubber ring can be stablized, and circular carpet will
About 9 are needed, 12 are square or rectangular carpet, and rubber ring gets up, and allows it to dry.3rd, using slipmat, Ke Yicong
These slipmat are bought in furniture shop or decorate home shop.These are actually by prevent furniture or carpet from skidding or walking about.
The content of the invention
Carpet function of the prior art is single, is only walked for people, it is impossible to realize other miscellaneous functions.In order to solve
Above mentioned problem, the invention provides intelligent safety inspection method in a kind of life staying idle at home, room main entrance rear is arranged on by household carpet,
For reducing the dust that Migrant women is brought to room, sound detection equipment is arranged on room main entrance, it is attached for detecting
It closely whether there is voice, and when there is voice, send the first human testing signal；Wherein, the ultrasonic detecting equipment is set
Put at room main entrance rear and positioned at the left and right sides of the household carpet, for detecting whether there is Migrant women to enter room,
And when having detected Migrant women into room, the second human testing signal is sent, at targetedly image
Equipment is managed when successfully recognizing targeted customer's numbering, to send kinsfolk's entering signal, targeted customer's numbering can not obtained
When, send Migrant women entering signal.
According to an aspect of the present invention there is provided intelligent safety inspection method in a kind of life staying idle at home, this method includes：
1) a kind of smart home safety check accessory system is provided, including household carpet, sound detection equipment, ultrasound examination are set
Standby and user-identification device, the household carpet is arranged on room main entrance rear, room is brought for reducing Migrant women
Dust, the sound detection equipment is arranged on room main entrance, nearby whether there is voice for detecting, and there is voice
When, send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right two of the household carpet
Side, for detecting whether there is Migrant women to enter room, and when having detected Migrant women into room, sends the second human body
Detect signal；And
2) accessory system is used.
More specifically, in the smart home safety check accessory system：The sound detection equipment is being not detected by voice
When, send no human voice signal；Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receiving
During the first human testing signal, enter mode of operation from battery saving mode.
More specifically, in the smart home safety check accessory system：The ultrasonic detecting equipment is additionally operable to receiving
To it is described without human voice signal when, enter battery saving mode from mode of operation.
More specifically, in the smart home safety check accessory system：The user-identification device is examined with the ultrasonic wave
Measurement equipment is connected, for when receiving the second human testing signal, entering mode of operation from battery saving mode；Wherein, it is described super
Acoustic wave detection devices send no Migrant women signal when being not detected by Migrant women into room；Wherein, the user knows
Other equipment is additionally operable to, when receiving the signal without Migrant women, enter battery saving mode from mode of operation.
More specifically, in the smart home safety check accessory system, in addition to：Multilayer strengthens equipment, with image averaging
Equipment is connected, for receiving equalization image, is determined based on goal-selling gray threshold scope every in the equalization image
Whether one pixel belongs to object pixel, and all object pixels in the equalization image are constituted into preliminary aim region, carried
The gray value grade of all pixels in preliminary region improves image to obtain contrast in the high equalization image, and enhancing is described
Contrast improves the highlights region in image, while the dark portion region in the contrast raising image is reduced, to obtain target
Strengthen image, picture smooth treatment is carried out to the targets improvement image to obtain multilayer enhancing image；
Multiple ccd sensors, it is multiple to obtain for carrying out image data acquiring to the Migrant women for entering room simultaneously
Alternative image；Wherein, the multiple ccd sensor is set up in parallel；Image removal equipment, respectively with the multiple ccd sensor
Connection, is detected for the degradation to the multiple alternative image, will be rejected degradation and is less than default degradation
Each alternative image after each alternative image of threshold value is exported as each image to be averaged；Image averaging equipment, it is and described
Image removal equipment is connected, for receiving each described image to be averaged, and each described image to be averaged is averaged with
Obtain and export equalization image.
More specifically, in the smart home safety check accessory system, in addition to：
Noise analysis equipment, is connected with multilayer enhancing equipment, for receiving the multilayer enhancing image, to described many
Layer enhancing image carry out noise type analysis with determine the maximum noise type of the noise amplitude in multilayer enhancing image with
Exported as main noise type；Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise
Type, and medium filtering template is determined based on the main noise type；Contour detecting equipment, connects with the noise analysis equipment
Connect, for judging the objective contour in the multilayer enhancing image；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment, for group respectively
Into each contour pixel of the objective contour, based on the medium filtering template according to the medium filtering window centered on it
Intraoral pixel distribution determines different filtering strategies, it is described based on the medium filtering template according to the intermediate value centered on it
Pixel distribution in filter window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than
During equal to non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the profile
The pixel value of pixel, when the object pixel quantity in medium filtering window is less than the non-targeted pixel quantity in medium filtering window
When, take each non-targeted pixel pixel value average as the contour pixel pixel value；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, institute
Stating default human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray scale
Threshold range includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is recognized from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into people
Body subgraph；Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is recognized and split from the differentiation filtering image based on the default hair gray scale threshold range and lifted one's head
Send out subgraph；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from institute
Each pixel that the composition hair subgraph is removed in human body subgraph is stated with the human body subgraph after being handled, and is based on
Human body subgraph after the processing recognizes that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus is additionally operable to being not belonging to the objective contour in multilayer enhancing image
Each non-contour pixel, based on the medium filtering template according to all pixels in the medium filtering window centered on it
Pixel value average as the non-contour pixel pixel value；The differentiation filter apparatus output differentiation filtering figure
Picture；The user-identification device sends kinsfolk's entering signal, the user-identification device when obtaining targeted customer's numbering
When targeted customer's numbering can not be obtained, Migrant women entering signal is sent.
More specifically, in the smart home safety check accessory system：Noise type bag in the multilayer enhancing image
Include sensitive components generation internal noise, the interference noise of transmission channel, the electrical machinery jittering noise that brings of motion and
Grain noise caused by photosensitive material.
More specifically, in the smart home safety check accessory system：The human body gray scale upper limit threshold, human body ash
Lower threshold, the hair gray scale upper limit threshold and hair gray scale lower threshold all values are spent between 0-255.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the block diagram of the smart home safety check accessory system according to embodiment of the present invention.
Reference：1 household carpet；2 sound detection equipments；3 ultrasonic detecting equipments；4 user-identification devices
Embodiment
The embodiment to the smart home safety check accessory system of the present invention is described in detail below with reference to accompanying drawings.
Anti-slip carpet needs to have following attribute：One：Its Facing material of material is blending chemical ＆ blended fabric, is chemical fine
Dimension and other cotton wools, silk, the textile product that the mixing spinning of the natural fiber such as fiber crops is made into, elasticity and wearability be all in the case of dry and wet
It is relatively good.Two：The carpet reverse side for designing style has anti-skidding particle, had not only highlighted the style of body wheel but also had had the length of bafta
Place.
Currently, carpet lacks expansible miscellaneous function, the auxiliary mechanism that for example integrated security is checked.It is above-mentioned in order to overcome
Deficiency, the present invention has built intelligent safety inspection method in a kind of life staying idle at home, and this method includes：1) a kind of smart home safety check is provided
Accessory system；And 2) accessory system is used.Fig. 1 is the smart home safety check auxiliary according to embodiment of the present invention
The block diagram of system, the system is set including household carpet, sound detection equipment, ultrasonic detecting equipment and user's identification
It is standby.
Wherein, the household carpet is arranged on room main entrance rear, for reducing the ash that Migrant women is brought to room
Dirt, the sound detection equipment is arranged on room main entrance, and voice is nearby whether there is for detecting, and when there is voice,
Send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right two of the household carpet
Side, for detecting whether there is Migrant women to enter room, and when having detected Migrant women into room, sends the second human body
Detect signal.
Then, continue that the concrete structure of the smart home safety check accessory system of the present invention is further detailed.
In the smart home safety check accessory system：
The sound detection equipment sends no human voice signal when being not detected by voice；
Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receive it is described the first
When signal is surveyed in physical examination, enter mode of operation from battery saving mode.
In the smart home safety check accessory system：
The ultrasonic detecting equipment be additionally operable to receive it is described without human voice signal when, from mode of operation enter power saving mould
Formula.
In the smart home safety check accessory system：
The user-identification device is connected with the ultrasonic detecting equipment, for receiving the second human testing signal
When, enter mode of operation from battery saving mode；
Wherein, the ultrasonic detecting equipment sends no Migrant women when being not detected by Migrant women into room
Signal；
Wherein, the user-identification device is additionally operable to, when receiving the signal without Migrant women, from mode of operation enter
Enter battery saving mode.
The smart home safety check accessory system can also include：
Multilayer strengthens equipment, is connected with image averaging equipment, for receiving equalization image, based on goal-selling gray scale threshold
Value scope determines whether each pixel in the equalization image belongs to object pixel, by the institute in the equalization image
Preliminary aim region is constituted by object pixel, the gray value grade of all pixels in preliminary region in the equalization image is improved
Image is improved to obtain contrast, strengthens the highlights region in the contrast raising image, is carried while reducing the contrast
Dark portion region in hi-vision, to obtain targets improvement image, carries out picture smooth treatment to obtain to the targets improvement image
Obtain multilayer enhancing image；
Multiple ccd sensors, it is multiple to obtain for carrying out image data acquiring to the Migrant women for entering room simultaneously
Alternative image；Wherein, the multiple ccd sensor is set up in parallel；
Image removal equipment, is connected with the multiple ccd sensor respectively, for the deterioration to the multiple alternative image
Degree is detected, will reject each alternative image that degradation is less than after each alternative image of default degradation threshold value
Exported as each image to be averaged；
Image averaging equipment, is connected with described image removal equipment, for receiving each described image to be averaged, and to institute
Each image to be averaged is stated to be averaged to obtain and export equalization image.
The smart home safety check accessory system can also include：
Noise analysis equipment, is connected with multilayer enhancing equipment, for receiving the multilayer enhancing image, to described many
Layer enhancing image carry out noise type analysis with determine the maximum noise type of the noise amplitude in multilayer enhancing image with
Exported as main noise type；
Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise type, and based on institute
State main noise type and determine medium filtering template；
Contour detecting equipment, is connected with the noise analysis equipment, for judging the target in the multilayer enhancing image
Profile；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment, for group respectively
Into each contour pixel of the objective contour, based on the medium filtering template according to the medium filtering window centered on it
Intraoral pixel distribution determines different filtering strategies, it is described based on the medium filtering template according to the intermediate value centered on it
Pixel distribution in filter window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than
During equal to non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the profile
The pixel value of pixel, when the object pixel quantity in medium filtering window is less than the non-targeted pixel quantity in medium filtering window
When, take each non-targeted pixel pixel value average as the contour pixel pixel value；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, institute
Stating default human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray scale
Threshold range includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is recognized from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into people
Body subgraph；
Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is recognized and split from the differentiation filtering image based on the default hair gray scale threshold range and lifted one's head
Send out subgraph；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from institute
Each pixel that the composition hair subgraph is removed in human body subgraph is stated with the human body subgraph after being handled, and is based on
Human body subgraph after the processing recognizes that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus is additionally operable to being not belonging to the objective contour in multilayer enhancing image
Each non-contour pixel, based on the medium filtering template according to all pixels in the medium filtering window centered on it
Pixel value average as the non-contour pixel pixel value；The differentiation filter apparatus output differentiation filtering figure
Picture；
Wherein, the user-identification device sends kinsfolk's entering signal, the use when obtaining targeted customer's numbering
Family identification equipment sends Migrant women entering signal when that can not obtain targeted customer's numbering.
In the smart home safety check accessory system：
Noise type in multilayer enhancing image include the internal noise that sensitive components produces, transmission channel it is dry
Disturb noise, the jittering noise that electrical machinery motion is brought and grain noise caused by photosensitive material.
In the smart home safety check accessory system：
The human body gray scale upper limit threshold, the human body gray scale lower threshold, the hair gray scale upper limit threshold and described
Hair gray scale lower threshold all values are between 0-255.
In addition, image filtering, i.e., press down under conditions of image detail feature is retained as far as possible to the noise of target image
System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide
The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
Often polluted in journey by a variety of noises.In addition, some links in image procossing work as the picture object of input and not as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on image and cause the isolated of stronger visual effect
Pixel or block of pixels.Typically, 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, and these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, picture quality is greatly reduced, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of effective wave filter for suppressing noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile, can protect well image object shape,
Size and specific geometry and topological features.
One kind in conventional image filtering pattern is, nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or there is non-gaussian and make an uproar during spectrum aliasing or when containing nonadditivity noise in signal
Sound etc.), the conversion of traditional linear filter technology, such as Fourier, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning precision and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the weak point of linear filter to a certain extent.
Using the smart home safety check accessory system of the present invention, it can not realize that safety check aids in work(for carpet in the prior art
The technical problem of energy, is numbered by introducing various image processing equipments with the targeted customer for accurately detecting human body above carpet,
When successfully recognizing targeted customer's numbering, kinsfolk's entrance is regarded as, when targeted customer's numbering can not be obtained, sends external
Personnel's entering signal, so as to realize safety check miscellaneous function.
Although it is understood that the present invention is disclosed as above with preferred embodiment, but above-described embodiment and being not used 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 variations and modification 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 change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present 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 (8)
1. a kind of intelligent safety inspection method in life staying idle at home, this method includes：
1) a kind of smart home safety check accessory system is provided, including household carpet, sound detection equipment, ultrasonic detecting equipment and
User-identification device, the household carpet is arranged on room main entrance rear, for reducing the ash that Migrant women is brought to room
Dirt, the sound detection equipment is arranged on room main entrance, and voice is nearby whether there is for detecting, and when there is voice,
Send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right sides of the household carpet, uses
In having detected whether that Migrant women enters room, and when having detected Migrant women into room, send the second human testing
Signal；And
2) accessory system is used.
2. the method as described in claim 1, it is characterised in that：
The sound detection equipment sends no human voice signal when being not detected by voice；
Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receiving the first physical examination
When surveying signal, enter mode of operation from battery saving mode.
3. method as claimed in claim 2, it is characterised in that：
The ultrasonic detecting equipment be additionally operable to receive it is described without human voice signal when, enter battery saving mode from mode of operation.
4. method as claimed in claim 3, it is characterised in that：
The user-identification device is connected with the ultrasonic detecting equipment, for when receiving the second human testing signal,
Enter mode of operation from battery saving mode；
Wherein, the ultrasonic detecting equipment sends no Migrant women signal when being not detected by Migrant women into room；
Wherein, the user-identification device is additionally operable to when receiving the signal without Migrant women, is entered from mode of operation and is saved
Power mode.
5. method as claimed in claim 4, it is characterised in that the accessory system also includes：
Multilayer strengthens equipment, is connected with image averaging equipment, for receiving equalization image, based on goal-selling gray threshold model
Enclose and determine whether each pixel in the equalization image belongs to object pixel, by all mesh in the equalization image
Pixel composition preliminary aim region is marked, improves the gray value grade of all pixels in preliminary region in the equalization image to obtain
Obtain contrast and improve image, strengthen the highlights region in the contrast raising image, while reducing the contrast raising figure
Dark portion region as in, to obtain targets improvement image, carries out picture smooth treatment many to obtain to the targets improvement image
Layer enhancing image；
Multiple ccd sensors, it is multiple alternative to obtain for carrying out image data acquiring to the Migrant women for entering room simultaneously
Image；Wherein, the multiple ccd sensor is set up in parallel；
Image removal equipment, is connected with the multiple ccd sensor respectively, for the degradation to the multiple alternative image
Detected, will reject each alternative image that degradation is less than after each alternative image of default degradation threshold value as
Each image output to be averaged；
Image averaging equipment, is connected with described image removal equipment, for receiving each described image to be averaged, and to described each
Individual image to be averaged is averaged to obtain and export equalization image.
6. method as claimed in claim 5, it is characterised in that the accessory system also includes：
Noise analysis equipment, is connected with multilayer enhancing equipment, and for receiving the multilayer enhancing image, the multilayer is increased
Strong image carry out noise type analysis with determine the maximum noise type of the noise amplitude in the multilayer enhancing image using as
Main noise type is exported；
Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise type, and based on the master
Noise type is wanted to determine medium filtering template；
Contour detecting equipment, is connected with the noise analysis equipment, for judging the objective contour in the multilayer enhancing image；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment respectively, for composition institute
Each contour pixel of objective contour is stated, based on the medium filtering template according in the medium filtering window centered on it
Pixel distribution determine different filtering strategies, it is described based on the medium filtering template according to the medium filtering centered on it
Pixel distribution in window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than or equal to
During non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the contour pixel
Pixel value, when the object pixel quantity in medium filtering window be less than medium filtering window in non-targeted pixel quantity when,
Take each non-targeted pixel pixel value average as the contour pixel pixel value；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, it is described pre-
If human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray threshold
Scope includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving differentiation respectively
Filtering image, is recognized from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into human body
Image；
Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving differentiation respectively
Filtering image, is recognized from the differentiation filtering image based on the default hair gray scale threshold range and is partitioned into hair
Image；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from the people
Each pixel of the composition hair subgraph is removed in body subgraph with the human body subgraph after being handled, and based on described
Human body subgraph after processing recognizes that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus is additionally operable to being not belonging to each of the objective contour in multilayer enhancing image
Individual non-contour pixel, based on picture of the medium filtering template according to all pixels in the medium filtering window centered on it
Element value average as the non-contour pixel pixel value；
Wherein, the differentiation filter apparatus output differentiation filtering image；
Wherein, the user-identification device sends kinsfolk's entering signal when obtaining targeted customer's numbering, and the user knows
Other equipment sends Migrant women entering signal when that can not obtain targeted customer's numbering.
7. method as claimed in claim 6, it is characterised in that：
Noise type in the multilayer enhancing image includes the internal noise of sensitive components generation, the interference of transmission channel and made an uproar
Grain noise caused by the jittering noise and photosensitive material that sound, electrical machinery motion are brought.
8. the method as described in claim 6-7 is any, it is characterised in that：
The human body gray scale upper limit threshold, the human body gray scale lower threshold, the hair gray scale upper limit threshold and the hair
Gray scale lower threshold all values are between 0-255.
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| WO2019109208A1 (en) * | 2017-12-04 | 2019-06-13 | 深圳和而泰智能控制股份有限公司 | Smart carpet |
| CN112526612A (en) * | 2019-09-18 | 2021-03-19 | 商升特公司 | Proximity sensor with non-linear filter and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107832717A (en) * | 2017-11-15 | 2018-03-23 | 周小凤 | router security protective platform |
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| CN107831555A (en) | 2018-03-23 |
| CN107272083B (en) | 2018-05-11 |
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