CN110399896A - Clothes cabinet stores management system - Google Patents
Clothes cabinet stores management system Download PDFInfo
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- CN110399896A CN110399896A CN201910257143.3A CN201910257143A CN110399896A CN 110399896 A CN110399896 A CN 110399896A CN 201910257143 A CN201910257143 A CN 201910257143A CN 110399896 A CN110399896 A CN 110399896A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B61/00—Wardrobes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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Abstract
The present invention relates to a kind of clothes cabinets to store management system, it include: clothing analytical equipment, for the clothing target identification in real time equaliser image to be come out to obtain corresponding target area based on clothing imaging gray threshold range, determine several geometrical characteristics of corresponding clothing target based on the target area, and by several geometrical characteristic composition characteristic vectors；Type identification apparatus, using single hidden layer BP neural network of 8 input, 4 output, using several geometrical characteristics as input layer, output layer is clothing season type.Clothes cabinet storage management system of the invention is reliable for operation, and it is convenient to operate.Since the season type of wearing the clothes based on human body in front of clothes cabinet from the corresponding one or more cabinet bodies of clothes cabinet selection and carries out automatic push, so as to directly provide the cabinet body of this season attribute for user.
Description
Technical field
The present invention relates to clothes cabinet fields more particularly to a kind of clothes cabinet to store management system.
Background technique
Clothes cabinet is the cabinet tool for storing storing clothes, usually using stainless steel, solid wood, tempered glass, Hardware fitting as material,
Generally using cabinet body, door-plate, mute wheel, door curtain as component, built-in clothes rail, draws the accessories such as basket, sterilizing lamp at trousers frame, uses
Punching such as assembles, presses, welding at the techniques, has fire-retardant, protection against rodents, seamless cockroach proof, dust-proof, mothproof, moisture-proof, clean aesthetic, shifting
Move the effects of facilitating, there is high-capacity intelligent Sterilizing clothes cabinet, non-transformer to lead to glass cabinet, stainless steel wardrobe, disinfection by ultraviolet light keep a public place clean wardrobe,
Moisture-proof multifunction wardrobe, men and women's locker, dry cockroach proof wardrobe, folding chest, Simple wardrobe.The door body of clothes cabinet is common
It is classified as vertical hinged door, with the outer sliding door of cabinet etc. in cabinet, plate used in clothes cabinet generally has stainless steel, metal, timber etc..
Summary of the invention
The present invention at least has inventive point crucial at following three:
(1) the season type of wearing the clothes based on human body in front of clothes cabinet selects corresponding one or more cabinets from the clothes cabinet
Body simultaneously carries out automatic push, directly provides the cabinet body of this season attribute for user, and to facilitate, the clothing of user is placed and clothing extracts；
(2) filtering processing of selectivity is executed to the color component of image, while in specific filtering processing, being based on face
The mean square deviation of colour moment battle array determines the intensity that filtering processing is executed to color matrix, realizes adaptive image procossing；
(3) each multiplicity of each color component based on image carries out the judgement of the whole multiplicity of image, for figure
The judgement of the whole multiplicity of picture provides targetedly solution.
According to an aspect of the present invention, a kind of clothes cabinet storage management system is provided, the system comprises:
Clothing analytical equipment is connect with equalization operation equipment, and for receiving real time equaliser image, gray scale is imaged based on clothing
Threshold range comes out the clothing target identification in the real time equaliser image to obtain corresponding target area, is based on the mesh
Mark several geometrical characteristics that region determines corresponding clothing target: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, major diameter
Than, tightness and main shaft angle, and by several geometrical characteristic composition characteristic vectors；
Type identification apparatus is connect with the clothing analytical equipment, the single hidden layer BP neural network exported using 8 inputs 4,
Using several geometrical characteristics as input layer, output layer is clothing season type, and the clothing season type includes
Spring dress ornament, summer dress ornament, autumn dress ornament and winter dress ornament；
Cabinet body pushing equipment is connect, for receiving the clothing with each cabinet body in the type identification apparatus and clothes cabinet
Object season type, and push one or more cabinet bodies corresponding with the clothing season type；
First multiplicity analytical equipment carries out capturing scene capture figure obtained for receiving to scene in front of clothes cabinet
Picture obtains each red color component value of each pixel of the scene capture image, based on each red color component value
Multiplicity as the first multiplicity to export；
Second multiplicity analytical equipment obtains each of the scene capture image for receiving the scene capture image
Each blue color component value of a pixel, the multiplicity based on each blue color component value as the second multiplicity to export；
First multiplicity analytical equipment obtains each of the scene capture image for receiving the scene capture image
Each green component values of a pixel, the multiplicity based on each green component values as the third repeating degree to export.
Clothes cabinet storage management system of the invention is reliable for operation, and it is convenient to operate.Due to based on human body in front of clothes cabinet
Season type of wearing the clothes is from the corresponding one or more cabinet bodies of clothes cabinet selection and carries out automatic push, so as to for user it is direct
The cabinet body of this season attribute is provided.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is that the structure of the clothes cabinet according to applied by the clothes cabinet storage management system shown in embodiment of the present invention is shown
It is intended to.
Specific embodiment
The embodiment of clothes cabinet storage management system of the invention is described in detail below with reference to accompanying drawings.
Electronic control performance is vulnerabilities scan.Light current generally refer to DC circuit or audio, video line, network line,
Telephone line, alternating voltage is generally within 36V.The signal of phone, computer, television set in household electrical appliance inputs (wired electricity
Sight path), the household electrical appliance such as stereo set (output end route) be light current electrical equipment.Forceful electric power and light current in concept,
It is usually easy difference, the main distinction is the difference of purposes.Forceful electric power is used as a kind of power source.Light current is as a kind of letter
Number electricity.The method that voltage is not to discriminate between forceful electric power and light current.
There are two main classes for light current in building: one kind is the low-voltages such as safety voltage level and the control voltage of national regulation
Electric energy is divided into exchange and direct current.36V is exchanged hereinafter, direct current 24V is hereinafter, such as 24V DC control supply or emergency light
Backup power source.Another kind of is the information source for being loaded with the information such as voice, image, data, such as the information of phone, TV, computer.
Currently, since the clothing in season each in cabinet has, being difficult the clothing in magnanimity for the user of clothes cabinet
The clothing for belonging to current season is found in object, needless to say is carried out specific clothing from the clothing of numerous current seasons and selected,
The storage of clothing is also required to a kind of administrative mechanism based on season type simultaneously.
In order to overcome above-mentioned deficiency, the present invention has built a kind of clothes cabinet storage management system, can effectively solve the problem that corresponding
The technical issues of.
Fig. 1 is that the structure of the clothes cabinet according to cited in the clothes cabinet storage management system shown in embodiment of the present invention is shown
It is intended to.
The clothes cabinet shown according to an embodiment of the present invention stores management system
Clothing analytical equipment is connect with equalization operation equipment, and for receiving real time equaliser image, gray scale is imaged based on clothing
Threshold range comes out the clothing target identification in the real time equaliser image to obtain corresponding target area, is based on the mesh
Mark several geometrical characteristics that region determines corresponding clothing target: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, major diameter
Than, tightness and main shaft angle, and by several geometrical characteristic composition characteristic vectors；
Type identification apparatus is connect with the clothing analytical equipment, the single hidden layer BP neural network exported using 8 inputs 4,
Using several geometrical characteristics as input layer, output layer is clothing season type, and the clothing season type includes
Spring dress ornament, summer dress ornament, autumn dress ornament and winter dress ornament；
Cabinet body pushing equipment is connect, for receiving the clothing with each cabinet body in the type identification apparatus and clothes cabinet
Object season type, and push one or more cabinet bodies corresponding with the clothing season type；
First multiplicity analytical equipment carries out capturing scene capture figure obtained for receiving to scene in front of clothes cabinet
Picture obtains each red color component value of each pixel of the scene capture image, based on each red color component value
Multiplicity as the first multiplicity to export；
Second multiplicity analytical equipment obtains each of the scene capture image for receiving the scene capture image
Each blue color component value of a pixel, the multiplicity based on each blue color component value as the second multiplicity to export；
First multiplicity analytical equipment obtains each of the scene capture image for receiving the scene capture image
Each green component values of a pixel, the multiplicity based on each green component values as the third repeating degree to export；
Parameter identify equipment, respectively with the first multiplicity analytical equipment, the second multiplicity analytical equipment and institute
The connection of the third repeating degree analytical equipment is stated, for receiving first multiplicity, second multiplicity and the third respectively
Multiplicity determines that the scene captures image based on first multiplicity, second multiplicity and the third repeating degree
Whole multiplicity；
In parameter identification equipment, it is based on first multiplicity, second multiplicity and the third repeating
Degree determines that the whole multiplicity of the scene capture image includes: first multiplicity pass directly proportional to the entirety multiplicity
System, second multiplicity and the whole multiplicity are proportional, the third repeating degree and the entirety multiplicity at
Proportional relation；
Geometrical correction device is connect with parameter identification equipment, small for the numerical value in the whole multiplicity received
Image is captured in being equal to default multiplicity threshold value when side and receiving the scene from the first multiplicity analytical equipment, is also used to pair
Scene capture image executes geometric correction processing, with image after being corrected；
Matrix extract equipment executes color space conversion to image after the correction for receiving image after the correction,
To obtain B color matrix, R color matrix and G color matrix after the correction under the RGB color of image；
Dynamic filter equipment is connect with the matrix extract equipment, is determined for the mean square deviation based on the R color matrix
The intensity that filtering processing is executed to the R color matrix is determined based on the mean square deviation of the G color matrix to the G color moment
Battle array executes the intensity of filtering processing, to the B color matrix without filtering processing；
Combination executes equipment, connect with the dynamic filter equipment, for the R color matrix after being filtered, filtering
Treated G color matrix and the B color matrix of unfiltered processing are combined operation, to obtain corresponding combination operation figure
Picture；
Equalization operation equipment executes equipment connection with described combine, for the combination operation image to be executed histogram
Equalization operation, to obtain real time equaliser image；
Wherein, it in the dynamic filter equipment, is determined based on the mean square deviation of the R color matrix to the R color moment
The intensity of battle array execution filtering processing includes: that the mean square deviation of the R color matrix is bigger, is executed at filtering to the R color matrix
The intensity of reason is bigger.
Then, continue that the specific structure of clothes cabinet storage management system of the invention is further detailed.
In clothes cabinet storage management system:
In the dynamic filter equipment, determined based on the mean square deviation of the G color matrix to G color matrix execution
The intensity of filtering processing includes: that the mean square deviation of the G color matrix is bigger, executes the strong of filtering processing to the G color matrix
It spends bigger.
Can also include: in the clothes cabinet storage management system
First parameter acquisition device is connect with the equalization operation equipment, for receiving the real time equaliser image, to institute
It states real time equaliser image and executes the parsing of red channel mean value, to obtain the first red channel mean value；
Second parameter acquisition device executes the parsing of red channel mean value to the Lai Natu for receiving the Lai Natu,
To obtain the second red channel mean value.
Can also include: in the clothes cabinet storage management system
Parameter compares equipment, connect respectively with first parameter acquisition device and second parameter acquisition device, uses
In reception the first red channel mean value and the second red channel mean value, and it is greater than in the first red channel mean value
When equal to the second red channel mean value, the first control instruction is issued, is described first in the second red channel mean value
When more than the three times of red channel mean value, third control instruction is issued, and in the second red channel mean value is described the
When the three times of one red channel mean value are between two times, the second control instruction is issued；
Processing equipment is selected, equipment connects compared with the clothing analytical equipment and the parameter respectively, for receiving
When to second control instruction, activation form and aspect modification equipment is to execute single red color phase curve to the real time equaliser image
Promotion processing, and obtain corresponding selection processing image and be sent to the clothing and analyze to replace the real time equaliser image and set
It is standby, it is also used to when receiving the third control instruction, activation form and aspect modification equipment is to execute the real time equaliser image
Double secondary red color phase curve lifting processing, and obtain corresponding selection processing image and be sent to replacing the real time equaliser image
The clothing analytical equipment；
Wherein, the selection processing equipment is also used to when receiving first control instruction, by the real time equaliser
Image handles image alternatively to replace the real time equaliser image and be sent to the clothing analytical equipment.
Can also include: in the clothes cabinet storage management system
Form and aspect modify equipment, for executing at single or double secondary red color phase curve liftings in state of activation to input picture
Reason stops executing input picture single or double secondary red color phase curve liftings is handled in unactivated state；
Wherein, the gradually interpolation apparatus is realized by digital processing chip, and journey is used inside the digital processing chip
Sequence and the separated Harvard structure of data, there is hardware multiplier to provide various digital processing control instructions using pile line operation
To realize various digital signal processing algorithms respectively.
The clothes cabinet shown according to an embodiment of the present invention stores management method
It using clothing analytical equipment, connect with equalization operation equipment, for receiving real time equaliser image, is imaged based on clothing
Gray threshold range comes out the clothing target identification in the real time equaliser image to obtain corresponding target area, is based on institute
State several geometrical characteristics that target area determines corresponding clothing target: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness,
Draw ratio, tightness and main shaft angle, and by several geometrical characteristic composition characteristic vectors；
Usage type identification apparatus is connect with the clothing analytical equipment, using single hidden layer BP nerve of 8 input, 4 output
Network, using several geometrical characteristics as input layer, output layer is clothing season type, the clothing season type
Including spring dress ornament, summer dress ornament, autumn dress ornament and winter dress ornament；
Using cabinet body pushing equipment, it is connect with each cabinet body in the type identification apparatus and clothes cabinet, for receiving
Clothing season type is stated, and pushes one or more cabinet bodies corresponding with the clothing season type；
Using the first multiplicity analytical equipment, caught for receiving to carry out capturing scene obtained to scene in front of clothes cabinet
Image is obtained, each red color component value of each pixel of the scene capture image is obtained, is based on each red component
The multiplicity of value as the first multiplicity to export；
The scene capture image is obtained for receiving the scene capture image using the second multiplicity analytical equipment
Each pixel each blue color component value, the multiplicity based on each blue color component value is using defeated as the second multiplicity
Out；
The scene capture image is obtained for receiving the scene capture image using the first multiplicity analytical equipment
Each pixel each green component values, the multiplicity based on each green component values is using defeated as the third repeating degree
Out；
Using parameter identify equipment, respectively with the first multiplicity analytical equipment, the second multiplicity analytical equipment
It is connected with the third repeating degree analytical equipment, for receiving first multiplicity, second multiplicity and described respectively
The third repeating degree determines that the scene captures based on first multiplicity, second multiplicity and the third repeating degree
The whole multiplicity of image；
In parameter identification equipment, it is based on first multiplicity, second multiplicity and the third repeating
Degree determines that the whole multiplicity of the scene capture image includes: first multiplicity pass directly proportional to the entirety multiplicity
System, second multiplicity and the whole multiplicity are proportional, the third repeating degree and the entirety multiplicity at
Proportional relation；
Using geometrical correction device, it is connect with parameter identification equipment, for the number in the whole multiplicity received
Value is less than or equal to default multiplicity threshold value when side and receives the scene capture image from the first multiplicity analytical equipment, also uses
In executing geometric correction processing to scene capture image, with image after being corrected；
Using matrix extract equipment, for receiving image after the correction, color space is executed to image after the correction
Conversion, to obtain B color matrix, R color matrix and G color matrix after the correction under the RGB color of image；
It using dynamic filter equipment, is connect with the matrix extract equipment, for the mean square deviation based on the R color matrix
It determines the intensity for executing filtering processing to the R color matrix, is determined based on the mean square deviation of the G color matrix to the G face
Colour moment battle array executes the intensity of filtering processing, to the B color matrix without filtering processing；
Using combination execute equipment, connect with the dynamic filter equipment, for after being filtered R color matrix,
The B color matrix of G color matrix and unfiltered processing after filtering processing is combined operation, to obtain corresponding combination operation
Image；
Using equalization operation equipment, equipment connection is executed with described combine, it is straight for executing the combination operation image
Square figure equalization operation, to obtain real time equaliser image；
Wherein, it in the dynamic filter equipment, is determined based on the mean square deviation of the R color matrix to the R color moment
The intensity of battle array execution filtering processing includes: that the mean square deviation of the R color matrix is bigger, is executed at filtering to the R color matrix
The intensity of reason is bigger.
Then, continue that the specific steps of clothes cabinet storage management method of the invention are further detailed.
In the clothes cabinet storage management method:
In the dynamic filter equipment, determined based on the mean square deviation of the G color matrix to G color matrix execution
The intensity of filtering processing includes: that the mean square deviation of the G color matrix is bigger, executes the strong of filtering processing to the G color matrix
It spends bigger.
The clothes cabinet stores management method
Using the first parameter acquisition device, it is connect with the equalization operation equipment, for receiving the real time equaliser image,
The parsing of red channel mean value is executed to the real time equaliser image, to obtain the first red channel mean value；
Using the second parameter acquisition device, for receiving the Lai Natu, red channel mean value is executed to the Lai Natu
Parsing, to obtain the second red channel mean value.
The clothes cabinet stores management method
Compare equipment using parameter, connects respectively with first parameter acquisition device and second parameter acquisition device
It connects, for receiving the first red channel mean value and the second red channel mean value, and it is equal in first red channel
When value is more than or equal to the second red channel mean value, the first control instruction is issued, is institute in the second red channel mean value
When stating the three times of the first red channel mean value or more, third control instruction is issued, and be in the second red channel mean value
When the three times of the first red channel mean value are between two times, the second control instruction is issued；
Using selection processing equipment, equipment is connected compared with the clothing analytical equipment and the parameter respectively, is used for
When receiving second control instruction, activation form and aspect modification equipment is to execute single red color phase to the real time equaliser image
Curve lifting processing, and obtain corresponding selection processing image and be sent to the clothing analysis to replace the real time equaliser image
Equipment is also used to when receiving the third control instruction, and activation form and aspect modification equipment is to hold the real time equaliser image
Double red color phase curve lifting processing of row, and obtain corresponding selection processing image and sent with replacing the real time equaliser image
To the clothing analytical equipment；
Wherein, the selection processing equipment is also used to when receiving first control instruction, by the real time equaliser
Image handles image alternatively to replace the real time equaliser image and be sent to the clothing analytical equipment.
The clothes cabinet stores management method
Equipment is modified using form and aspect, for mentioning in state of activation to input picture execution single or double secondary red color phase curves
Processing is risen, stops executing input picture single in unactivated state or double secondary red color phase curve liftings is handled；
Wherein, the gradually interpolation apparatus is realized by digital processing chip, and journey is used inside the digital processing chip
Sequence and the separated Harvard structure of data, there is hardware multiplier to provide various digital processing control instructions using pile line operation
To realize various digital signal processing algorithms respectively.
In addition, the clothing analytical equipment is realized using GPU.GPU is to support T&L from hardware
The display chip of (Transform and Lighting, polygon conversion and light source processing), since T&L is one in 3D rendering
A pith, effect are to calculate the position 3D and the processing dynamic light effects of polygon, can also be known as " geometric manipulations ".One
A good T&L unit can provide careful 3D object and advanced light special efficacy；Only in most of PC, the major part of T&L
Operation is that CPU is transferred to handle (this just namely so-called software T&L), because the task of CPU is various, other than T&L, is also wanted
The non-3D graphics process work such as memory management and input response is done, so performance can have a greatly reduced quality when actual operation, one
As there is the case where video card waiting for CPU data, CPU arithmetic speed does not catch up with the requirement of complex three-dimensional game at present far.Even if CPU
Working frequency exceed 1GHz or higher, it is also little to his help because this is PC design the problem of causing itself, with CPU
Speed without much relations.
It is last it is noted that each function device in each embodiment of the present invention can integrate and set in a processing
In standby, it is also possible to each equipment and physically exists alone, it can also be with two or more integration of equipments within one device.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function equipment
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. a kind of clothes cabinet stores management system, which is characterized in that the system comprises:
Clothing analytical equipment is connect with equalization operation equipment, and for receiving real time equaliser image, gray threshold is imaged based on clothing
Range comes out the clothing target identification in the real time equaliser image to obtain corresponding target area, is based on the target area
Domain determines several geometrical characteristics of corresponding clothing target: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, draw ratio, tight
Density and main shaft angle, and by several geometrical characteristic composition characteristic vectors；
Type identification apparatus is connect with the clothing analytical equipment, using single hidden layer BP neural network of 8 input, 4 output, by institute
Several geometrical characteristics are stated as input layer, output layer is clothing season type, and the clothing season type includes spring
Dress ornament, summer dress ornament, autumn dress ornament and winter dress ornament；
Cabinet body pushing equipment is connect, for receiving the clothing season with each cabinet body in the type identification apparatus and clothes cabinet
Type is saved, and pushes one or more cabinet bodies corresponding with the clothing season type；
First multiplicity analytical equipment carries out scene in front of clothes cabinet to capture scene capture image obtained for receiving,
Obtain each red color component value of each pixel of the scene capture image, the repetition based on each red color component value
Degree as the first multiplicity to export；
Second multiplicity analytical equipment obtains each picture of the scene capture image for receiving the scene capture image
Each blue color component value of vegetarian refreshments, the multiplicity based on each blue color component value as the second multiplicity to export；
First multiplicity analytical equipment obtains each picture of the scene capture image for receiving the scene capture image
Each green component values of vegetarian refreshments, the multiplicity based on each green component values as the third repeating degree to export；
Parameter identifies equipment, respectively with the first multiplicity analytical equipment, the second multiplicity analytical equipment and described the
Three multiplicity analytical equipments connection, for receiving first multiplicity, second multiplicity and the third repeating respectively
Degree determines the whole of the scene capture image based on first multiplicity, second multiplicity and the third repeating degree
Weight multiplicity；
It is true based on first multiplicity, second multiplicity and the third repeating degree in parameter identification equipment
The whole multiplicity of the fixed scene capture image includes: that first multiplicity and the whole multiplicity are proportional,
Second multiplicity and the whole multiplicity are proportional, and the third repeating degree is directly proportional to the whole multiplicity
Relationship；
Geometrical correction device is connect with parameter identification equipment, be less than for the numerical value in the whole multiplicity received etc.
The scene from the first multiplicity analytical equipment is received in default multiplicity threshold value when side and captures image, is also used to described
Scene captures image and executes geometric correction processing, with image after being corrected；
Matrix extract equipment executes color space conversion to image after the correction, to obtain for receiving image after the correction
B color matrix, R color matrix and G color matrix after the correction under the RGB color of image；
Dynamic filter equipment is connect with the matrix extract equipment, is determined for the mean square deviation based on the R color matrix to institute
The intensity that R color matrix executes filtering processing is stated, the G color matrix is held based on the mean square deviation determination of the G color matrix
The intensity of row filtering processing, to the B color matrix without filtering processing；
Combination executes equipment, connect with the dynamic filter equipment, for the R color matrix after being filtered, filtering processing
The B color matrix of G color matrix and unfiltered processing afterwards is combined operation, to obtain corresponding combination operation image；
Equalization operation equipment executes equipment connection with described combine, for the combination operation image to be executed histogram equalization
Operation, to obtain real time equaliser image；
Wherein, in the dynamic filter equipment, the R color matrix is held based on the mean square deviation determination of the R color matrix
The intensity of row filtering processing includes: that the mean square deviation of the R color matrix is bigger, executes filtering processing to the R color matrix
Intensity is bigger.
2. clothes cabinet as described in claim 1 stores management system, it is characterised in that:
In the dynamic filter equipment, filtering is executed to the G color matrix based on the mean square deviation determination of the G color matrix
The intensity of processing includes: that the mean square deviation of the G color matrix is bigger, and the intensity for executing filtering processing to the G color matrix is got over
Greatly.
3. clothes cabinet as claimed in claim 2 stores management system, which is characterized in that the system also includes:
First parameter acquisition device is connect with the equalization operation equipment, for receiving the real time equaliser image, to the reality
Shi Junheng image executes the parsing of red channel mean value, to obtain the first red channel mean value；
Second parameter acquisition device executes the parsing of red channel mean value to the Lai Natu, to obtain for receiving the Lai Natu
Obtain the second red channel mean value.
4. clothes cabinet as claimed in claim 3 stores management system, which is characterized in that the system also includes:
Parameter compares equipment, connect respectively with first parameter acquisition device and second parameter acquisition device, for connecing
The first red channel mean value and the second red channel mean value are received, and is more than or equal in the first red channel mean value
When the second red channel mean value, the first control instruction is issued, is described first red in the second red channel mean value
When more than the three times of channel mean value, third control instruction is issued, and in the second red channel mean value be described first red
When the three times of chrominance channel mean value are between two times, the second control instruction is issued；
Processing equipment is selected, equipment connects compared with the clothing analytical equipment and the parameter respectively, for receiving
When stating the second control instruction, activation form and aspect modification equipment is to execute single red color phase curve lifting to the real time equaliser image
Processing, and obtain corresponding selection processing image and be sent to the clothing analytical equipment to replace the real time equaliser image, also
For when receiving the third control instruction, activation form and aspect modification equipment to be double secondary red to execute to the real time equaliser image
The processing of color form and aspect curve lifting, and obtain corresponding selection processing image and be sent to the clothing to replace the real time equaliser image
Object analytical equipment；
Wherein, the selection processing equipment is also used to when receiving first control instruction, by the real time equaliser image
It alternatively handles image and is sent to the clothing analytical equipment to replace the real time equaliser image.
5. clothes cabinet as claimed in claim 4 stores management system, which is characterized in that the system also includes:
Form and aspect modify equipment, for executing single or double secondary red color phase curve lifting processing to input picture in state of activation,
Stop executing input picture single in unactivated state or double secondary red color phase curve liftings are handled；
Wherein, the gradually interpolation apparatus is realized by digital processing chip, inside the digital processing chip using program and
The separated Harvard structure of data has hardware multiplier, using pile line operation, provides various digital processing control instructions to divide
Various digital signal processing algorithms are not realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910257143.3A CN110399896B (en) | 2019-04-01 | 2019-04-01 | Storage management system for clothes cabinet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910257143.3A CN110399896B (en) | 2019-04-01 | 2019-04-01 | Storage management system for clothes cabinet |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110399896A true CN110399896A (en) | 2019-11-01 |
| CN110399896B CN110399896B (en) | 2020-08-28 |
Family
ID=68322236
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