CN109034061B - Big data processing formula bodily form identifying system - Google Patents
Big data processing formula bodily form identifying system Download PDFInfo
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- CN109034061B CN109034061B CN201810830784.9A CN201810830784A CN109034061B CN 109034061 B CN109034061 B CN 109034061B CN 201810830784 A CN201810830784 A CN 201810830784A CN 109034061 B CN109034061 B CN 109034061B
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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
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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 big data processing formula bodily form identifying systems, comprising: temperature extraction equipment is arranged in personnel's fixed equipment, for measuring to the real time temperature at personnel's fixed equipment, to obtain and export corresponding real-time device temperature；Voice plays chip, and the side of the temperature extraction equipment is arranged in, and for receiving the real-time device temperature, and when the real-time device temperature is more than preset temperature threshold, plays audio alert file corresponding with temperature over-range；The bodily form identifies equipment, for using big data tupe to go out each human body pixel point in image based on default human body intensity profile scope resolution, by each human body pixel point group adult body subgraph in image, it identifies the bodily form feature of the human body subgraph, and corresponding rejuvenation grade is determined based on the bodily form feature.Through the invention, the technical issues of field device control model excessively customizes is solved.
Description
Technical field
The present invention relates to big data processing field more particularly to a kind of big data processing formula bodily form identifying systems.
Background technique
The acquisition of big data, which refers to using multiple databases, to be received from client (Web, App or forms of sensor
Deng) data, and user can simply be inquired and be handled work by these databases.
For example, electrospray chamber stores each Transaction Information using traditional relevant database MySQL and Oracle etc.,
In addition to this, NoSQL database as Redis and MongoDB is also commonly used for the acquisition of data.
In the collection process of big data, main feature and challenge are number of concurrent height, because being possible to have into simultaneously
Thousand users up to ten thousand access and operate.
For example train ticket ticket reselling website and Taobao, their concurrent amount of access reach up to a million in peak value, so needing
It could be supported in collection terminal deployment mass data library.And how between these databases to carry out load balancing and fragment really
It is to need deep thinking and design.
Summary of the invention
In order to solve the technical issues of passenger age is ignored in the control of lift amusement equipment, the present invention provides one kind
Big data processing formula bodily form identifying system, use big data tupe with according to different age group to lift amusement equipment
The preference of oscilaltion frequency formulates different lifting strategies, to meet all age group to lift amusement equipment
Different demands；Wherein, foreground and background segmentation is executed to image, to obtain corresponding prospect subgraph and background subgraph,
Detection processing line by line is executed to image to count and be located in the suspicious row to obtain row that luminance mean value transfinites and as suspicious row
Whether the quantity of the pixel in the background subgraph is corresponding bright line row with the determination suspicious row, and is deposited in the picture
High precision image filtering processing is executed to image in bright line row.
According to an aspect of the present invention, a kind of big data processing formula bodily form identifying system is provided, the system comprises:
Temperature extraction equipment is arranged in personnel's fixed equipment, for the real time temperature at personnel's fixed equipment
It measures, to obtain and export corresponding real-time device temperature；Voice plays chip, and the temperature extraction equipment is arranged in
Side plays and temperature for receiving the real-time device temperature, and when the real-time device temperature is more than preset temperature threshold
Spend the corresponding audio alert file that transfinites.
More specifically, in the big data processing formula bodily form identifying system, further includes:
Personnel's fixed equipment, for providing seating position for tourist, each personnel's fixed equipment is for placing a trip
Visitor；Live safeguard, including safety belt and fastener, the left side of personnel's fixed equipment is arranged in the safety belt, described
Fastener is arranged in the right side of personnel's fixed equipment, the fastener be used for the safety belt snapping, for corresponding personnel
Tourist in fixed equipment provides scene protection.
More specifically, in the big data processing formula bodily form identifying system, further includes:
Condition detecting device, be arranged on the fastener, for detect the fastener whether with the safety belt snapping, and
In the fastener and the safety belt snapping, snapping pass signal is issued；Rope body is drawn high up and down, for wirerope cast
At one end is connect with personnel's fixed equipment, and the other end is connect with live driving motor.
More specifically, in the big data processing formula bodily form identifying system, further includes:
Live driving motor, with it is described up and down draw high rope body connect, for by it is described up and down draw high rope body above and below
It pulls and drives personnel's fixed equipment oscilaltion；The top of personnel's fixed equipment is arranged in personnel's capture apparatus, uses
In carrying out image data acquiring to personnel's fixed equipment, to obtain and export corresponding instantaneous acquiring image；Suspicious row is known
Other equipment is connect with personnel's capture apparatus, for receiving the instantaneous acquiring image, is executed to the instantaneous acquiring image
Foreground and background segmentation, to obtain corresponding prospect subgraph and background subgraph, obtains each in the instantaneous acquiring image
The brightness data of each pixel of a row carries out arithmetic mean of instantaneous value calculating to the brightness data of each pixel of each row
To obtain corresponding luminance mean value, obtain the luminance mean value of each row, to the luminance mean value of each row carry out arithmetic mean of instantaneous value calculate with
Corresponding image mean value is obtained, the amplitude that will deviate from described image mean value is more than that capable be used as can corresponding to the luminance mean value of limitation
Doubt row；Pixel counts equipment, connect with the suspicious row identification equipment, for determining, each pixel is in the suspicious row
It is no to be located in the background subgraph, the quantity for the pixel being located in the background subgraph in the suspicious row is counted, and
When the quantity of the pixel is more than or equal to preset quantity threshold value, using the suspicious row as corresponding bright line row；Pixel
Processing equipment is connect with pixel statistics equipment, the quantity for the bright line row in pixel statistics equipment output
When non-zero, using each of instantaneous acquiring image pixel as subject image vegetarian refreshments, the subject image vegetarian refreshments week is determined
Each red color component value of each pixel is enclosed to obtain the processed red color component value of the subject image vegetarian refreshments, and it is described right to determine
As each blue color component value of pixel each around pixel is to obtain the processed blue color component value of the subject image vegetarian refreshments,
Each green component values of each pixel around the subject image vegetarian refreshments are determined to obtain the processed of the subject image vegetarian refreshments
Green component values；In the pixel processing equipment, each red of each pixel around the subject image vegetarian refreshments is determined
Component value comprises determining that each picture around the subject image vegetarian refreshments to obtain the processed red color component value of the subject image vegetarian refreshments
The average value of each red color component value of vegetarian refreshments, when the average value is more than default red component threshold value, by the average value
As the processed red color component value of the subject image vegetarian refreshments, otherwise, the intrinsic red color component value of the subject image vegetarian refreshments is made
For the processed red color component value of the subject image vegetarian refreshments；The pixel processing equipment is also used to based on the instantaneous acquiring figure
As the processed red color component value of each pixel, processed blue color component value and processed green component values obtain corresponding place
Image after reason, and export image after the processing；The bodily form identifies equipment, connect with the pixel processing equipment, for receiving
Image after the processing uses big data tupe to be based on scheming after default human body intensity profile scope resolution goes out the processing
Each human body pixel point group adult body subgraph in image after the processing is identified institute by each human body pixel point as in
The bodily form feature of human body subgraph is stated, and corresponding rejuvenation grade is determined based on the bodily form feature；The scene driving electricity
Machine is also connect with bodily form identification equipment, determines institute for receiving the rejuvenation grade, and based on the rejuvenation grade
State the oscilaltion frequency of personnel's fixed equipment；It wherein, is more than not in the rejuvenation grade in the live driving motor
When adult grade, determine that the oscilaltion frequency of personnel's fixed equipment includes: the youth based on the rejuvenation grade
Change lower grade, and determining oscilaltion frequency is slower；
Wherein, in the pixel processing equipment, each indigo plant of each pixel around the subject image vegetarian refreshments is determined
Colouring component value with obtain the processed blue color component value of the subject image vegetarian refreshments comprise determining that it is each around the subject image vegetarian refreshments
The average value of each blue color component value of pixel will be described average when the average value is more than default blue component threshold value
It is worth the processed blue color component value as the subject image vegetarian refreshments, otherwise, by the intrinsic blue color component value of the subject image vegetarian refreshments
Processed blue color component value as the subject image vegetarian refreshments.
More specifically, in the big data processing formula bodily form identifying system: in the pixel processing equipment, determining
Each green component values of each pixel are around the subject image vegetarian refreshments to obtain the processed green of the subject image vegetarian refreshments
Component value comprises determining that the average value of each green component values of each pixel around the subject image vegetarian refreshments, when described flat
When mean value is more than default green component threshold value, using the average value as the processed green component values of the subject image vegetarian refreshments,
Otherwise, using the intrinsic green component values of the subject image vegetarian refreshments as the processed green component values of the subject image vegetarian refreshments.
More specifically, in the big data processing formula bodily form identifying system: what the suspicious row identification equipment exported can
The behavior of doubting is one or more, and the bright line behavior of the pixel statistics equipment output is one or more.
More specifically, in the big data processing formula bodily form identifying system: described in the suspicious row identification equipment
Prospect subgraph and the background subgraph form the instantaneous acquiring image.
More specifically, in the big data processing formula bodily form identifying system: the condition detecting device is also used in institute
When stating fastener not with the safety belt snapping, snapping failure signal is issued；Wherein, in the live driving motor, described
When rejuvenation grade is less than not adult grade, the oscilaltion of personnel's fixed equipment is determined based on the rejuvenation grade
The oscilaltion frequency constant value that frequency comprises determining that.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the live driving motor according to the big data processing formula bodily form identifying system shown in embodiment of the present invention
Shape assumption diagram.
Specific embodiment
The embodiment of big data processing formula bodily form identifying system of the invention is carried out specifically below with reference to accompanying drawings
It is bright.
Although collection terminal itself has many databases, if effectively to be analyzed these mass datas,
Or these data from front end should be imported into the large-scale distributed database or distributed storage collection of a concentration
Group, and some simple cleanings and pretreatment work can be done on the basis of importing.
There are also users to carry out streaming computing to data using the Storm from Twitter when importing, to expire
The real-time calculating demand of foot separate service.
Import with the characteristics of preprocessing process and challenge be mainly importing data volume it is big, the import volume of each second is often
Reach 100,000,000 or even gigabit rank.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data processing formula bodily form identifying system, can effectively solve
Certainly corresponding technical problem.
The big data processing formula bodily form identifying system shown according to an embodiment of the present invention includes:
Temperature extraction equipment is arranged in personnel's fixed equipment, for the real time temperature at personnel's fixed equipment
It measures, to obtain and export corresponding real-time device temperature；
Voice plays chip, and the side of the temperature extraction equipment is arranged in, for receiving the real-time device temperature, and
When the real-time device temperature is more than preset temperature threshold, audio alert file corresponding with temperature over-range is played.
Then, continue to carry out further the specific structure of big data processing formula bodily form identifying system of the invention
It is bright.
In the big data processing formula bodily form identifying system, further includes:
Personnel's fixed equipment, for providing seating position for tourist, each personnel's fixed equipment is for placing a trip
Visitor；
The left side of personnel's fixed equipment is arranged in live safeguard, including safety belt and fastener, the safety belt,
The fastener is arranged in the right side of personnel's fixed equipment, the fastener be used for the safety belt snapping, for accordingly
Tourist in personnel's fixed equipment provides scene protection.
In the big data processing formula bodily form identifying system, further includes:
Condition detecting device, be arranged on the fastener, for detect the fastener whether with the safety belt snapping, and
In the fastener and the safety belt snapping, snapping pass signal is issued；
Rope body is drawn high up and down, is formed for wirerope cast, one end is connect with personnel's fixed equipment, the other end
It is connect with live driving motor.
In the big data processing formula bodily form identifying system, further includes:
As shown in Figure 1, live driving motor, connect with the rope body that draws high up and down, for by drawing high up and down to described
The pulling up and down of rope body drives personnel's fixed equipment oscilaltion；
The top of personnel's fixed equipment is arranged in personnel's capture apparatus, for carrying out to personnel's fixed equipment
Image data acquiring, to obtain and export corresponding instantaneous acquiring image；
Suspicious row identifies equipment, connect with personnel's capture apparatus, for receiving the instantaneous acquiring image, to described
Instantaneous acquiring image executes foreground and background segmentation, and to obtain corresponding prospect subgraph and background subgraph, acquisition is described i.e.
When acquisition image in each row each pixel brightness data, to the brightness data of each pixel of each row into
Row arithmetic mean of instantaneous value is calculated to obtain corresponding luminance mean value, obtains the luminance mean value of each row, is carried out to the luminance mean value of each row
It is more than the luminance mean value limited the quantity that arithmetic mean of instantaneous value, which calculates and will deviate from the amplitude of described image mean value to obtain corresponding image mean value,
Corresponding row is used as suspicious row；
Pixel counts equipment, connect with the suspicious row identification equipment, for determining each pixel in the suspicious row
Whether point is located in the background subgraph, counts the number for the pixel being located in the background subgraph in the suspicious row
Amount, and when the quantity of the pixel is more than or equal to preset quantity threshold value, using the suspicious row as corresponding bright line row；
Pixel processing equipment is connect with pixel statistics equipment, in pixel statistics equipment output
Bright line row quantity non-zero when, using each of instantaneous acquiring image pixel as subject image vegetarian refreshments, determine institute
Each red color component value of each pixel around subject image vegetarian refreshments is stated to obtain processed red point of the subject image vegetarian refreshments
Magnitude determines each blue color component value of each pixel around the subject image vegetarian refreshments to have obtained the subject image vegetarian refreshments
Blue color component value is handled, determines each green component values of each pixel around the subject image vegetarian refreshments to obtain the object
The processed green component values of pixel；In the pixel processing equipment, each picture around the subject image vegetarian refreshments is determined
Each red color component value of vegetarian refreshments comprises determining that the subject image with the processed red color component value for obtaining the subject image vegetarian refreshments
The average value of each red color component value of each pixel around vegetarian refreshments, when the average value is more than default red component threshold value
When, using the average value as the processed red color component value of the subject image vegetarian refreshments, otherwise, by consolidating for the subject image vegetarian refreshments
There is processed red color component value of the red color component value as the subject image vegetarian refreshments；The pixel processing equipment is also used to be based on
Processed red color component value, processed blue color component value and the processed green component of each pixel of instantaneous acquiring image
Value obtains image after corresponding processing, and exports image after the processing；
The bodily form identifies equipment, connect with the pixel processing equipment, for receiving image after the processing, using big several
It, will according to tupe to go out each human body pixel point after the processing in image based on default human body intensity profile scope resolution
Each human body pixel point group adult body subgraph after the processing in image, identifies the bodily form feature of the human body subgraph,
And corresponding rejuvenation grade is determined based on the bodily form feature；
The scene driving motor is also connect with bodily form identification equipment, for receiving the rejuvenation grade, and base
The oscilaltion frequency of personnel's fixed equipment is determined in the rejuvenation grade；
Wherein, in the live driving motor, when the rejuvenation grade is more than not adult grade, it is based on the year
Lightization grade determines that the oscilaltion frequency of personnel's fixed equipment includes: that the rejuvenation lower grade, above and below determination
It is slower to go up and down frequency；
Wherein, in the pixel processing equipment, each indigo plant of each pixel around the subject image vegetarian refreshments is determined
Colouring component value with obtain the processed blue color component value of the subject image vegetarian refreshments comprise determining that it is each around the subject image vegetarian refreshments
The average value of each blue color component value of pixel will be described average when the average value is more than default blue component threshold value
It is worth the processed blue color component value as the subject image vegetarian refreshments, otherwise, by the intrinsic blue color component value of the subject image vegetarian refreshments
Processed blue color component value as the subject image vegetarian refreshments.
In the big data processing formula bodily form identifying system: in the pixel processing equipment, determining the object
Each green component values of each pixel are around pixel to obtain the processed green component values packet of the subject image vegetarian refreshments
It includes: determining the average value of each green component values of each pixel around the subject image vegetarian refreshments, when the average value is more than
When default green component threshold value, using the average value as the processed green component values of the subject image vegetarian refreshments, otherwise, by institute
State processed green component values of the intrinsic green component values of subject image vegetarian refreshments as the subject image vegetarian refreshments.
In the big data processing formula bodily form identifying system: suspicious actions one of the suspicious row identification equipment output
Or it is multiple, the bright line behavior of the pixel statistics equipment output is one or more.
In the big data processing formula bodily form identifying system: in the suspicious row identification equipment, the prospect subgraph
Picture and the background subgraph form the instantaneous acquiring image.
In the big data processing formula bodily form identifying system: the condition detecting device be also used to the fastener not with
When the safety belt snapping, snapping failure signal is issued；
Wherein, in the live driving motor, when the rejuvenation grade is less than not adult grade, based on described
Rejuvenation grade determines the oscilaltion frequency constant that the oscilaltion frequency of personnel's fixed equipment comprises determining that
Value.
In addition, the pixel processing equipment is realized by GPU chip.Graphics processor (English: Graphics
Processing Unit, abbreviation: GPU), it also known as shows core, vision processor, display chip, is a kind of specially in personal electricity
The micro process that image operation works in brain, work station, game machine and some mobile devices (such as tablet computer, smart phone)
Device.
Graphics processor purposes is will to show that information carries out conversion driving required for computer system, and mention to display
For line scan signals, the correct display of display is controlled, is the critical elements of connection display and PC mainboard, and
One of the important equipment of " human-computer dialogue ".Video card undertakes output display figure as an important component in host computer
The task of shape, video card is extremely important for the people for being engaged in professional graphic design.
The processor of video card is known as graphics processor (GPU), it is video card " heart ", similar with CPU, only GPU
It is to aim to execute complicated mathematics and geometry calculating and design, these calculating are necessary to figure rendering.It is certain most quick
The integrated number of transistors of GPU be even more than common CP U.
At present GPU majority possesses 2D or 3D figure acceleration function.If CPU thinks one X-Y scheme of picture, it is only necessary to send out
A instruction such as " draws the rectangle that a long and width is a × b size ", GPU can be counted rapidly to GPU at coordinate position (x, y)
The all pixels of the figure are calculated, and designated position draws corresponding figure over the display, notes that " I draws CPU after painting
It is over ", then waiting for CPU issues next graphics command.
Using big data processing formula bodily form identifying system of the invention, excessively customized for the control of equipment in the prior art
The technical issues of, by using big data tupe with the oscilaltion frequency according to different age group to lift amusement equipment
The preference of rate formulates different lifting strategies, to meet all age group to the different demands of lift amusement equipment；
Wherein, to image execute foreground and background segmentation, to obtain corresponding prospect subgraph and background subgraph, to image execute by
Row detection processing counts to obtain row that luminance mean value transfinites and as suspicious row and is located at the background subgraph in the suspicious row
Whether the quantity of the pixel as in the determination suspicious row is corresponding bright line row, and when there is bright line row in the picture pair
Image executes high precision image filtering processing, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (2)
1. a kind of big data processing formula bodily form identifying system characterized by comprising
Temperature extraction equipment is arranged in personnel's fixed equipment, for carrying out to the real time temperature at personnel's fixed equipment
Measurement, to obtain and export corresponding real-time device temperature；
Voice plays chip, the side of the temperature extraction equipment is arranged in, for receiving the real-time device temperature, and in institute
When stating real-time device temperature more than preset temperature threshold, audio alert file corresponding with temperature over-range is played；
Personnel's fixed equipment, for providing seating position for tourist, each personnel's fixed equipment is for placing a tourist；
Live safeguard, including safety belt and fastener, the left side of personnel's fixed equipment is arranged in the safety belt, described
Fastener is arranged in the right side of personnel's fixed equipment, the fastener be used for the safety belt snapping, for corresponding personnel
Tourist in fixed equipment provides scene protection；
Condition detecting device is arranged on the fastener, for detect the fastener whether with the safety belt snapping, and in institute
When stating fastener and the safety belt snapping, snapping pass signal is issued；
Draw high rope body up and down, form for wirerope cast, one end connect with personnel's fixed equipment, the other end with show
Field driving motor connection；
Live driving motor is connect, for by the pulling up and down for drawing high rope body up and down with the rope body that draws high up and down
Drive personnel's fixed equipment oscilaltion；
The top of personnel's fixed equipment is arranged in personnel's capture apparatus, for carrying out image to personnel's fixed equipment
Data acquisition, to obtain and export corresponding instantaneous acquiring image；
Suspicious row identifies equipment, connect with personnel's capture apparatus, for receiving the instantaneous acquiring image, to described instant
It acquires image and executes foreground and background segmentation, to obtain corresponding prospect subgraph and background subgraph, acquisition is described to adopt immediately
The brightness data for collecting each pixel of each row in image, calculates the brightness data of each pixel of each row
Art mean value calculation obtains the luminance mean value of each row to obtain corresponding luminance mean value, carries out arithmetic to the luminance mean value of each row
For mean value calculation to obtain corresponding image mean value, the amplitude that will deviate from described image mean value is right more than the luminance mean value institute of limitation
The row answered is used as suspicious row；
Pixel counts equipment, connect with the suspicious row identification equipment, for determining, each pixel is in the suspicious row
It is no to be located in the background subgraph, the quantity for the pixel being located in the background subgraph in the suspicious row is counted, and
When the quantity of the pixel is more than or equal to preset quantity threshold value, using the suspicious row as corresponding bright line row；
Pixel processing equipment is connect with pixel statistics equipment, in the bright of pixel statistics equipment output
When the quantity non-zero of line row, using each of instantaneous acquiring image pixel as subject image vegetarian refreshments, it is described right to determine
As each red color component value of pixel each around pixel is to obtain the processed red color component value of the subject image vegetarian refreshments,
Each blue color component value of each pixel around the subject image vegetarian refreshments is determined to obtain the processed of the subject image vegetarian refreshments
Blue color component value determines each green component values of each pixel around the subject image vegetarian refreshments to obtain the object pixel
The processed green component values of point；In the pixel processing equipment, each pixel around the subject image vegetarian refreshments is determined
Each red color component value comprise determining that the subject image vegetarian refreshments to obtain the processed red color component value of the subject image vegetarian refreshments
The average value of each red color component value of each pixel of surrounding will when the average value is more than default red component threshold value
Processed red color component value of the average value as the subject image vegetarian refreshments, otherwise, by the intrinsic red of the subject image vegetarian refreshments
Processed red color component value of the colouring component value as the subject image vegetarian refreshments；The pixel processing equipment is also used to based on described
Processed red color component value, processed blue color component value and the processed green component values of each pixel of instantaneous acquiring image obtain
Image after corresponding processing is taken, and exports image after the processing；
The bodily form identifies equipment, connect with the pixel processing equipment, for receiving image after the processing, at big data
Reason mode, will be described to go out each human body pixel point after the processing in image based on default human body intensity profile scope resolution
Each human body pixel point group adult body subgraph after processing in image, identifies the bodily form feature of the human body subgraph, and base
Corresponding rejuvenation grade is determined in the bodily form feature；
The scene driving motor is also connect with bodily form identification equipment, for receiving the rejuvenation grade, and is based on institute
State the oscilaltion frequency that rejuvenation grade determines personnel's fixed equipment；
Wherein, in the live driving motor, when the rejuvenation grade is more than not adult grade, it is based on the rejuvenation
Grade determines that the oscilaltion frequency of personnel's fixed equipment includes:, the determining oscilaltion of the rejuvenation lower grade
Frequency is slower；
Wherein, in the pixel processing equipment, each blue point of each pixel around the subject image vegetarian refreshments is determined
Magnitude comprises determining that each pixel around the subject image vegetarian refreshments to obtain the processed blue color component value of the subject image vegetarian refreshments
The average value of each blue color component value of point makees the average value when the average value is more than default blue component threshold value
For the processed blue color component value of the subject image vegetarian refreshments, otherwise, using the intrinsic blue color component value of the subject image vegetarian refreshments as
The processed blue color component value of the subject image vegetarian refreshments.
2. big data processing formula bodily form identifying system as described in claim 1, it is characterised in that:
In the pixel processing equipment, determine each green component values of each pixel around the subject image vegetarian refreshments with
The processed green component values for obtaining the subject image vegetarian refreshments comprise determining that each of each pixel around the subject image vegetarian refreshments
The average value of a green component values, when the average value is more than default green component threshold value, using the average value as described in
The processed green component values of subject image vegetarian refreshments, otherwise, using the intrinsic green component values of the subject image vegetarian refreshments as described right
As the processed green component values of pixel.
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| CN111901559A (en) * | 2020-07-08 | 2020-11-06 | 胡飞青 | System and method for recognizing breaking state of protective rope body |
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| CN109801298B (en) * | 2019-01-21 | 2020-04-21 | 莱芜职业技术学院 | Targeted disease treatment platform |
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| CN111901559A (en) * | 2020-07-08 | 2020-11-06 | 胡飞青 | System and method for recognizing breaking state of protective rope body |
| CN111901559B (en) * | 2020-07-08 | 2021-06-01 | 南京幸庄科技创新产业园管理有限公司 | System and method for recognizing breaking state of protective rope body |
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