CN108960030A - Image procossing formula opening operation method - Google Patents
Image procossing formula opening operation method Download PDFInfo
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- CN108960030A CN108960030A CN201810261270.6A CN201810261270A CN108960030A CN 108960030 A CN108960030 A CN 108960030A CN 201810261270 A CN201810261270 A CN 201810261270A CN 108960030 A CN108960030 A CN 108960030A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03C—DOMESTIC PLUMBING INSTALLATIONS FOR FRESH WATER OR WASTE WATER; SINKS
- E03C1/00—Domestic plumbing installations for fresh water or waste water; Sinks
- E03C1/12—Plumbing installations for waste water; Basins or fountains connected thereto; Sinks
- E03C1/18—Sinks, whether or not connected to the waste-pipe
- E03C1/182—Sinks, whether or not connected to the waste-pipe connected to the waste-pipe
-
- 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
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- 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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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Environmental & Geological Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of image procossing formula opening operation methods, the method includes use image procossing formula opening operation platform with the historical data based on each personnel determine the personnel currently may habit sealing device size of cracking, and cracked automatically according to determining size of cracking.By means of the invention it is possible to reduce the manual operation of sealing device at the bottom of pond to pond, the contact of personnel with relatively dirty and messy basin bottom are avoided.
Description
Technical field
The present invention relates to field of image processing more particularly to a kind of image procossing formula opening operation methods.
Background technique
The two-dimensional matrix of one width bianry image is only made of 0,1 two value, and " 0 " represents black, " 1 " platinite.Due to every
Value only has 0,1 two kind of possibility to one pixel (each element in matrix), so the data type of bianry image is usual in computer
For 1 binary digit.Bianry image is commonly used in the storage of scanning recognition (OCR) and mask image of text, lines figure.
The value range of gray level image matrix element is usually [0,255].Therefore its data type is generally 8 without symbol
(int8) of integer, here it is 256 gray level images that people frequently refer to." 0 " indicates ater, and " 255 " indicate pure white, in
Between number indicated from small to large by black to white intermediate color.In certain softwares, gray level image can also use double precision datum
Type (double) indicates that the codomain of pixel is [0,1], and 0 represents black, and 1 represents white, and the fractional representation between 0 to 1 is different
Tonal gradation.Bianry image can regard a special case of gray level image as.
Summary of the invention
The present invention provides a kind of image procossing formula opening operation methods, can be in the precision of customization image detection, base
The size of cracking for the sealing device that the personnel may currently be accustomed to is determined in the historical data of each personnel, and according to determining
Size of cracking is cracked automatically, to reduce the manual operation to sealing device.
For this purpose, the present invention at least has following important inventive point:
(1) it is analyzed by the data to the multiple image in prefixed time interval, determines the maximum color of amplitude of variation point
Amount, and based on the corresponding color image of determining color component, carry out the search operation of target shape；
(2) different filtering piecemeals is determined, based on the image outline area estimated roughly to realize the adaptive of image block
The fitting of each image block after should being filtered and handling, to improve the fine degree of image filtering；
(3) determine that cracking for the current sealing device that may be accustomed to of the personnel is big based on the historical data of each personnel
It is small, and cracked automatically according to determining size of cracking, to reduce the manual operation to sealing device, keep personnel with
The isolation of relatively dirty and messy basin bottom.
According to an aspect of the present invention, a kind of image procossing formula opening operation method is provided, the method includes using
Image procossing formula opening operation platform determines the sealing that the personnel may currently be accustomed to the historical data based on each personnel
The size of cracking of equipment, and cracked automatically according to determining size of cracking, described image processing formula opening operation platform packet
It includes:
The bottom of pond in pond is arranged in sealing device, and the central collector nozzle for the bottom of pond to pond is opened or closed,
Wherein, the sealing device currently cracks bigger, and the flowing water speed of the central collector nozzle of the bottom of pond in the pond is faster；
The top in pond is arranged in dot matrix picture pick-up device, for use pond personnel carry out facial image acquisition,
To obtain continuous multiframe current face image on time shaft, and export the multiframe current face image；
FLASH stores equipment, and for saving the profile piecemeal table of comparisons, the profile piecemeal table of comparisons is saved with different wheels
Profile surface product is the corresponding filtering piecemeal of index, wherein contour area is bigger, is to index corresponding filtering piecemeal to get over contour area
Greatly；
Profile preliminary examination equipment stores equipment with the FLASH respectively and the dot matrix picture pick-up device is connect, for receiving
The multiframe current face image executes following processing to each frame current face image: being based on each frame current face image
Each pixel gray value jump situation determine each pixel whether be jump pixel, and export by multiple jumps
The number of one or more profiles of pixel composition, the pixel based on each profile occupancy calculates the occupancy face of the profile
Product, adds up the area occupied of one or more of profiles to obtain the profile gross area, looks into the profile piecemeal table of comparisons
Look for filtering piecemeal corresponding with the profile gross area to divide block to described current based on described image as image segmentation block
Face-image carries out the division of image block, and executes adaptive-filtering processing to each image block, and will filtering processing
Each image block fitting afterwards executes image to obtain filtering；The profile preliminary examination equipment exports each frame current face image
Corresponding filtering executes image.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structural schematic diagram according to the image procossing formula opening operation platform shown in embodiment of the present invention.
Specific embodiment
The embodiment of image procossing formula opening operation platform of the invention is described in detail below with reference to accompanying drawings.
Pond, classify by style: platform upper pool: being mounted on table top, along the pond above table top on the body of pond；Under platform
Pond: being mounted on table top, and entire pond is below table top；Pillar pond: it is not required to mounting table, leans on cylinder branch below pond
Support.
Classify by material in pond: ceramic pond: passing through the pond that high temperature forms by a firing with raw material such as china clay；Bath of glass
Pond: using pond of the tempered glass as raw material Jing Guo machine-shaping, and mostly table pool is sold in set；Cast iron pond: with casting
Iron passes through forging molding as raw material, and surface has the pond of one layer of enamel glaze paint, feature long service life；Acrylic water
Pond: a kind of chemical synthetic material passes through machine-shaping, mostly pond and table top one-pass molding, is mainly used for bathroom counter top.
The center in pond is generally provided with sealing device, for keeping certain water to flow out, however, sealing device
Cracking, it is fixed to be typically of size of, and different personnel need the size of cracking of the sealing device of different habits, forms therebetween
Contradiction.
In order to overcome above-mentioned deficiency, the present invention has built a kind of image procossing formula opening operation method, the method includes
Determine what the personnel may currently be accustomed to using image procossing formula opening operation platform with the historical data based on each personnel
The size of cracking of sealing device, and cracked automatically according to determining size of cracking, described image processing formula opening operation is flat
Platform can select different modes of cracking according to the difference of user.
Fig. 1 is the structural schematic diagram according to the image procossing formula opening operation platform shown in embodiment of the present invention, described
Platform includes water outlet equipment 2 and toilet plate 1, further includes:
The bottom of pond in pond is arranged in sealing device 3, and the central collector nozzle for the bottom of pond to pond is opened or sealed
It closes, wherein currently cracking for the sealing device is bigger, and the flowing water speed of the central collector nozzle of the bottom of pond in the pond is faster.
Then, continue that the specific structure of image procossing formula opening operation platform of the invention is further detailed.
Can also include: in described image processing formula opening operation platform
The top in pond is arranged in dot matrix picture pick-up device, for use pond personnel carry out facial image acquisition,
To obtain continuous multiframe current face image on time shaft, and export the multiframe current face image.
Can also include: in described image processing formula opening operation platform
FLASH stores equipment, and for saving the profile piecemeal table of comparisons, the profile piecemeal table of comparisons is saved with different wheels
Profile surface product is the corresponding filtering piecemeal of index, wherein contour area is bigger, is to index corresponding filtering piecemeal to get over contour area
Greatly.
Can also include: in described image processing formula opening operation platform
Profile preliminary examination equipment stores equipment with the FLASH respectively and the dot matrix picture pick-up device is connect, for receiving
The multiframe current face image executes following processing to each frame current face image: being based on each frame current face image
Each pixel gray value jump situation determine each pixel whether be jump pixel, and export by multiple jumps
The number of one or more profiles of pixel composition, the pixel based on each profile occupancy calculates the occupancy face of the profile
Product, adds up the area occupied of one or more of profiles to obtain the profile gross area, looks into the profile piecemeal table of comparisons
Look for filtering piecemeal corresponding with the profile gross area to divide block to described current based on described image as image segmentation block
Face-image carries out the division of image block, and executes adaptive-filtering processing to each image block, and will filtering processing
Each image block fitting afterwards executes image to obtain filtering；The profile preliminary examination equipment exports each frame current face image
Corresponding filtering executes image.
Can also include: in described image processing formula opening operation platform
Component data extract equipment is connect, for receiving the multiframe in prefixed time interval with the profile preliminary examination equipment
Filtering executes image, filters to each frame and executes the following processing of image execution: parsing the filtering and execute each in image
C component, M component, Y-component and the K component of pixel determine the sum of C component of each pixel to execute as the filtering
The C component of image and, determine the sum of M component of each pixel using executed as the filtering image M component and, determine each
The sum of Y-component of a pixel using executed as the filtering image Y-component and, and determine each pixel K component it
With using as it is described filtering execute image K component and；
By when processing equipment, connect with the component data extract equipment, for receive each frame filtering execute image
C component and the filtering of each frame executes the M component of image and the filtering of each frame executes the Y-component of image and and each
The filtering of a frame execute image K component and, and determine that multiframe filtering executes the amplitude of variation of the C component sum of image, multiframe filtering
The amplitude of variation of the M component sum of image, the amplitude of variation of the Y-component sum of multiframe filtering execution image and multiframe filtering is executed to hold
The amplitude of variation of the K component sum of row image, using the maximum color component of amplitude of variation as calibration color component output；
Signature analysis equipment executes image for receiving the filtering of a newest frame, also with it is described by when processing equipment connect, with
The calibration color component is received, is filtered based on the calibration color component from a newest frame and executes acquisition and the mark in image
Determine the corresponding color component images of color component, the figure met with human body standard shape is searched for from the color component images
Case, and when searching the pattern met with human body standard shape, corresponding personnel's characteristics of image is parsed, is obtained and described true
The corresponding personnel ID of fixed personnel's characteristics of image, to be exported as target person ID；
State extract equipment is connect with the signature analysis equipment, for obtaining when receiving the target person ID
The size of currently cracking of the sealing device, and the target person ID is gone through with the size of currently cracking together as one
Records of the Historian record is sent to FLASH storage equipment；
The FLASH storage equipment is also used to receive each historical record, and carries out real-time storage；
Mode switch is sealed, is arranged near pond, for the operation based on user, it is adaptive whether selection currently enters
Sealing treatment mode；
Driving motor connects with the sealing mode switch, the signature analysis equipment and the FLASH storage equipment respectively
Connect, for user select enter the adaptive sealing treatment mode when, from the FLASH storage equipment search with it is newest
The corresponding each historical record of target person ID is calculated based on each size of currently cracking in each historical record found
The mean value of each size of currently cracking found selects size of cracking to determine phase with size of alternatively cracking based on described
The driving control signal answered；
Wherein, the sealing device is also connect with the driving motor, for when receiving the driving control signal,
Under the driving of the driving control signal, currently cracking for the sealing device is modified to the selection and cracked size.
Can also include: in described image processing formula opening operation platform
Timing device, for being timed operation to current time, with when reaching prefixed time interval, transmission timing control
Signal processed.
In described image processing formula opening operation platform:
The driving motor is also connect with the timing device, for driving when receiving the timing controling signal
The sealing device is currently cracking for the sealing device to be modified to maximum and crack size.
In addition, the dot matrix picture pick-up device includes cmos image sensor.CMOS is originally a kind of heavy in computer system
The chip wanted saves the most basic data of System guides.The manufacturing technology of CMOS and general computer chip do not have difference,
The semiconductor being mainly made into using silicon and germanium both elements, make its co-exist on CMOS band N (band-electricity) and P (with+
Electricity) grade semiconductor, electric current caused by the two complementary effects chip record processed and can be interpreted to image.Hair later
Existing CMOS can also be used as the imaging sensor in digital photography by processing.
For the portable use independently of power grid, the CMOS technology famous with low power consumption characteristic is bright with one
Aobvious advantage: cmos image sensor is designed for 5V and 3.3V supply voltage.And CCD chip then needs about 12V
Supply voltage, therefore have to using an electric pressure converter, so as to cause power consumption increase.In terms of total power consumption, control
Another benefit will be brought by being integrated into cmos sensor with system function: he eliminates all outer with other semiconductor elements
Portion's connecting line.Nowadays the driver of its high power consumption has been abandoned, this is because portion carries out communicating consumed energy in the chip
It is more much lower than the external implementation by PCB or substrate.
Using image procossing formula opening operation platform of the invention, opened for pond center sealing device in the prior art
The technical issues of mode solidifies determines the current sealing device that may be accustomed to of the personnel based on the historical data of each personnel
It cracks size, and is cracked automatically according to determining size of cracking, more it is essential that by more in prefixed time interval
The data of frame image are analyzed, and determine the maximum color component of amplitude of variation, and based on the corresponding color figure of determining color component
Picture is carried out the search operation of target shape, and is determined different filtering piecemeals based on the image outline area estimated roughly, with
The fitting of each image block after realizing the adaptive-filtering processing of image block and handling.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (7)
1. a kind of image procossing formula opening operation method, the method includes using image procossing formula opening operation platform to be based on
The historical data of each personnel determines the size of cracking for the sealing device that the personnel may currently be accustomed to, and opens according to determining
Seam size is cracked automatically, and described image processing formula opening operation platform includes:
The bottom of pond in pond is arranged in sealing device, and the central collector nozzle for the bottom of pond to pond is opened or closed,
In, currently cracking for the sealing device is bigger, and the flowing water speed of the central collector nozzle of the bottom of pond in the pond is faster.
2. the method as described in claim 1, which is characterized in that the platform further include:
The top in pond is arranged in dot matrix picture pick-up device, for use pond personnel carry out facial image acquisition, to obtain
Continuous multiframe current face image on time shaft is obtained, and exports the multiframe current face image.
3. method according to claim 2, which is characterized in that the platform further include:
FLASH stores equipment, and for saving the profile piecemeal table of comparisons, the profile piecemeal table of comparisons is saved with differently contoured face
Product is the corresponding filtering piecemeal of index, wherein contour area is bigger, is that the corresponding filtering piecemeal of index is bigger with contour area.
4. method as claimed in claim 3, which is characterized in that the platform further include:
Profile preliminary examination equipment stores equipment with the FLASH respectively and the dot matrix picture pick-up device is connect, described for receiving
Multiframe current face image executes following processing to each frame current face image: based on each of each frame current face image
The gray value jump situation of a pixel determines whether each pixel is jump pixel, and exports by multiple jump pixels
The number of one or more profiles of point composition, the pixel based on each profile occupancy calculates the area occupied of the profile,
Add up the area occupied of one or more of profiles to obtain the profile gross area, searched in the profile piecemeal table of comparisons with
The corresponding filtering piecemeal of the profile gross area is using as image segmentation block, based on described image segmentation block to the current face
Image carries out the division of image block, and executes adaptive-filtering processing to each image block, and will be after filtering processing
Each image block fitting executes image to obtain filtering；It is right that the profile preliminary examination equipment exports each frame current face image institute
The filtering answered executes image.
5. method as claimed in claim 4, which is characterized in that the platform further include:
Component data extract equipment is connect with the profile preliminary examination equipment, for receiving the filtering of the multiframe in prefixed time interval
Image is executed, each frame is filtered and executes the following processing of image execution: parsing the filtering and executes each pixel in image
C component, M component, Y-component and the K component of point determine the sum of C component of each pixel to execute image as the filtering
C component and, determine the sum of M component of each pixel using as it is described filtering execute image M component and, determine each picture
The sum of Y-component of vegetarian refreshments using executed as the filtering image Y-component and, and determine the sum of K component of each pixel with
As it is described filtering execute image K component and；
By when processing equipment, connect with the component data extract equipment, the C point of image executed for receiving the filtering of each frame
Amount and the filtering of each frame execute the M component of image and each frame filters the Y-component and and each frame for executing image
Filtering execute image K component and, and determine multiframe filtering execute image C component sum amplitude of variation, multiframe filtering execute
The amplitude of variation of the M component sum of image, multiframe filtering execute the amplitude of variation of the Y-component sum of image and multiframe filtering executes figure
The amplitude of variation of the K component sum of picture, using the maximum color component of amplitude of variation as calibration color component output；
Signature analysis equipment executes image for receiving the filtering of a newest frame, also with it is described by when processing equipment connect, with reception
The calibration color component is filtered from a newest frame based on the calibration color component and executes acquisition and the calibration face in image
The corresponding color component images of colouring component search for the pattern met with human body standard shape from the color component images, and
When searching the pattern met with human body standard shape, corresponding personnel's characteristics of image is parsed, is obtained and the determination
The corresponding personnel ID of personnel's characteristics of image, to be exported as target person ID；
State extract equipment is connect with the signature analysis equipment, for when receiving the target person ID, described in acquisition
The size of currently cracking of sealing device, and the target person ID and the size of currently cracking are remembered together as a history
Record is sent to FLASH storage equipment；
The FLASH storage equipment is also used to receive each historical record, and carries out real-time storage；
Mode switch is sealed, is arranged near pond, for the operation based on user, whether selection is current enters adaptive sealing
Tupe；
Driving motor is connect with the sealing mode switch, the signature analysis equipment and the FLASH storage equipment respectively,
For being searched and newest mesh from FLASH storage equipment when user selects to enter the adaptive sealing treatment mode
The corresponding each historical record of mark personnel ID is looked into based on each size calculating of currently cracking in each historical record found
The mean value of each size of currently cracking found cracks size determination accordingly based on the selection with size of alternatively cracking
Driving control signal；
Wherein, the sealing device is also connect with the driving motor, for when receiving the driving control signal, in institute
Under the driving for stating driving control signal, currently cracking for the sealing device is modified to the selection and cracked size.
6. method as claimed in claim 5, which is characterized in that the platform further include:
Timing device, for being timed operation to current time, with when reaching prefixed time interval, transmission timing control is believed
Number.
7. method as claimed in claim 6, it is characterised in that:
The driving motor is also connect with the timing device, for when receiving the timing controling signal, described in driving
Sealing device is currently cracking for the sealing device to be modified to maximum and crack size.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810261270.6A CN108960030A (en) | 2018-03-28 | 2018-03-28 | Image procossing formula opening operation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810261270.6A CN108960030A (en) | 2018-03-28 | 2018-03-28 | Image procossing formula opening operation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108960030A true CN108960030A (en) | 2018-12-07 |
Family
ID=64495703
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810261270.6A Withdrawn CN108960030A (en) | 2018-03-28 | 2018-03-28 | Image procossing formula opening operation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108960030A (en) |
-
2018
- 2018-03-28 CN CN201810261270.6A patent/CN108960030A/en not_active Withdrawn
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Application publication date: 20181207 |