CN109655458A - Soundboard iron rust analysis platform - Google Patents
Soundboard iron rust analysis platform Download PDFInfo
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- CN109655458A CN109655458A CN201811569393.2A CN201811569393A CN109655458A CN 109655458 A CN109655458 A CN 109655458A CN 201811569393 A CN201811569393 A CN 201811569393A CN 109655458 A CN109655458 A CN 109655458A
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 130
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 65
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 title claims abstract description 65
- 238000004458 analytical method Methods 0.000 title claims abstract description 35
- 239000013078 crystal Substances 0.000 claims abstract description 9
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 230000007246 mechanism Effects 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 48
- 238000012360 testing method Methods 0.000 claims description 24
- 238000009499 grossing Methods 0.000 claims description 21
- 239000000284 extract Substances 0.000 claims description 12
- 238000003708 edge detection Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 5
- 238000003706 image smoothing Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000003707 image sharpening Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 239000000203 mixture Substances 0.000 claims description 2
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001962 electrophoresis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000001343 mnemonic effect Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The present invention relates to a kind of soundboard iron rust analysis platforms, comprising: fender mechanism, including keyboard section sweeps interface, interface is swept in keyboard position, pull-up resistor row, MCU controller, midi interface and crystal oscillator equipment, the midi interface are connect with the MCU controller；The working frequency of the crystal oscillator equipment is 6MHz, is connect with the MCU controller, for providing clock signal for the MCU controller；It is 8 parallel-by-bit interfaces that the keyboard section, which sweeps interface, is connect with the one 8 parallel-by-bit pin of the MCU controller；It is 8 parallel-by-bit interfaces that interface is swept in the keyboard position, is connect with the 2nd 8 parallel-by-bit pin of the MCU controller；It is distributed evaluation apparatus, is connect with iron rust analytical equipment, is exported for the sum of the iron rust pixel in soundboard region to be occupied to the ratio of pixel sum in soundboard region as distribution proportion.By means of the invention it is possible to inform that user carries out derusting operation in time.
Description
Technical field
The present invention relates to fender field more particularly to a kind of soundboard iron rust analysis platforms.
Background technique
Fender uses large scale integrated circuit, big multi-configuration sound mnemonic.For storing the true of each kind musical instrument
Real sound waveform simultaneously exports when playing.Common electronic organ has music keyboard band automatic accompaniment and synthesizer without automatic companion
Two major classes are played, sensu lato fender includes digital piano, is different from electroacoustic piano, uses staff more, and mostly high bass is double
Row note spectrum.Sometimes music and numbered musical notation, guitar spectrum in also using.It is generally used for rock music.
Summary of the invention
In order to solve the technical problem that current fender soundboard iron rust excessively causes musical note inaccurate, the present invention provides one kind
Soundboard iron rust analysis platform can determine soundboard iron rust distribution situation in time, to remind user to carry out corresponding derusting operation.
The present invention at least has following three important inventive points:
(1) newest standardized test chart is known using time division duplex communication mode, is executed based on standardized test chart to closing fortune
The smoothness analysis of treated image is calculated, to determine the need for adding image smoothing movement；
(2) iron rust in soundboard region is determined using the red channel specific distribution of iron rust imaging pixel point
System detection；
(3) using the sum of the iron rust pixel in soundboard region occupy soundboard region pixel sum ratio as point
Cloth ratio is notified in time to user, to avoid the soundboard for using excessive iron rust.
According to an aspect of the present invention, a kind of soundboard iron rust analysis platform is provided, the platform includes:
Fender mechanism, including keyboard section sweeps interface, interface is swept in keyboard position, pull-up resistor row, MCU controller, MIDI connect
Mouth and crystal oscillator equipment, the midi interface are connect with the MCU controller；Wherein, the working frequency of the crystal oscillator equipment is
6MHz is connect with the MCU controller, for providing clock signal for the MCU controller.
More specifically, in the soundboard iron rust analysis platform: it is 8 parallel-by-bit interfaces that the keyboard section, which sweeps interface, with institute
State the one 8 parallel-by-bit pin connection of MCU controller.
More specifically, in the soundboard iron rust analysis platform: it is 8 parallel-by-bit interfaces that interface is swept in the keyboard position, with institute
State the 2nd 8 parallel-by-bit pin connection of MCU controller.
More specifically, in the soundboard iron rust analysis platform, further includes:
It is distributed evaluation apparatus, is connect with iron rust analytical equipment, for accounting for the sum of the iron rust pixel in soundboard region
It is exported according to the ratio of the pixel sum in soundboard region as distribution proportion；Voice plays chip, with the distribution evaluation apparatus
Connection, for receiving and playing the distribution proportion in real time；Button video camera is arranged in fender mechanism, for electric steel
The in-house execution camera shooting movement of qin, to obtain and export current image frame；Repeatedly adjustment equipment connects with the button video camera
It connects, for receiving the current image frame, the multiple color range based on signal-to-noise ratio is executed to the current image frame and is adjusted, to obtain
Corresponding repeatedly adjustment image, the signal-to-noise ratio of the current image frame is lower, and the number of the color range adjustment of execution is more；Closed operation
Processing equipment connect with color range adjustment equipment, for receiving the multiple adjustment image, holds to the multiple adjustment image
Row closed operation processing processing, to obtain and export corresponding closed operation processing image；At data selection equipment, with the closed operation
Equipment connection is managed, for receiving the closed operation processing image, the figure based on JiuGongTu is executed to closed operation processing image
The image block that nine same sizes are obtained as block acquisition, handles nine of nine image blocks in image for the closed operation
Smoothness carries out arithmetic mean of instantaneous value and calculates to obtain closed operation Image Smoothness, is also used to execute based on nine palaces standardized test chart
The image block of figure is obtained to obtain the image block of nine same sizes, by the nine of nine image blocks described in the standardized test chart
A smoothness carries out arithmetic mean of instantaneous value and calculates to obtain test image smoothness；Smoothing processing equipment is set with data selection
Standby connection executes image smoothing movement to closed operation processing image for receiving the unreliable order of the parameter, with
Smoothing processing image is obtained, is also used to receiving the reliable in parameters order, using closed operation processing image as smooth
Handle image output；Soundboard extract equipment is connect with the smoothing processing equipment, for being based on soundboard benchmark geometric shape from institute
It states and searches out corresponding soundboard region in smoothing processing image；Iron rust analytical equipment connect with the soundboard extract equipment, is used for
The soundboard region is received, and by red color component value in the soundboard region in iron rust upper limit gray threshold and iron rust lower limit gray scale
Pixel between threshold value is as iron rust pixel；Time division duplex communication interface is connect with the data selection equipment, is used for nothing
Line knows the standardized test chart, and the standardized test chart is sent to the data selection equipment.
More specifically, in the soundboard iron rust analysis platform: in the data selection equipment, when the closed operation figure
When being more than the test image smoothness as smoothness, reliable in parameters order is issued, when the closed operation Image Smoothness does not surpass
When crossing the test image smoothness, the unreliable order of parameter is issued.
Specific embodiment
The embodiment of soundboard iron rust analysis platform of the invention will be described in detail below.
Fender is a kind of electrophonic musical instrument.He is that six the seventies of twentieth century rise, the eighties to the nineties morning
A kind of musical instrument in certain occasions instead of piano of phase prevalence.
The principle of sound of fender be form electrophoresis using keyboard as on-off switch, once press key, internal crystal oscillator
It starts to work, forms the waveform that pulse generates certain frequency, be then passed through the amplification of frequency divider, be sent into loudspeaker sounding.Entirely
Voiced process is by simple frequency dividing analog circuit, so keyboard does not have dynamics and hits string feeling, sound is also more mechanical dull.
In order to overcome above-mentioned deficiency, the present invention has built a kind of soundboard iron rust analysis platform, can effectively solve the problem that corresponding
Technical problem.
The soundboard iron rust analysis platform shown according to an embodiment of the present invention includes:
Fender mechanism, including keyboard section sweeps interface, interface is swept in keyboard position, pull-up resistor row, MCU controller, MIDI connect
Mouth and crystal oscillator equipment, the midi interface are connect with the MCU controller；
Wherein, the working frequency of the crystal oscillator equipment is 6MHz, is connect with the MCU controller, for controlling for the MCU
Device processed provides clock signal.
Then, continue that the specific structure of soundboard iron rust analysis platform of the invention is further detailed.
In the soundboard iron rust analysis platform: it is 8 parallel-by-bit interfaces that the keyboard section, which sweeps interface, is controlled with the MCU
One 8 parallel-by-bit pin of device connects.
In the soundboard iron rust analysis platform: it is 8 parallel-by-bit interfaces that interface is swept in the keyboard position, is controlled with the MCU
2nd 8 parallel-by-bit pin of device connects.
In the soundboard iron rust analysis platform, further includes:
It is distributed evaluation apparatus, is connect with iron rust analytical equipment, for accounting for the sum of the iron rust pixel in soundboard region
It is exported according to the ratio of the pixel sum in soundboard region as distribution proportion；
Voice plays chip, connect with the distribution evaluation apparatus, for reception and plays the distribution proportion in real time；
Button video camera is arranged in fender mechanism, acts for execution camera shooting in-house to fender, to obtain
And export current image frame；
Repeatedly adjustment equipment, connect, for receiving the current image frame, to the current figure with the button video camera
It is adjusted as frame executes the multiple color range based on signal-to-noise ratio, to obtain corresponding repeatedly adjustment image, the letter of the current image frame
It makes an uproar than lower, the number of the color range adjustment of execution is more；
Closed operation processing equipment is connect, for receiving the multiple adjustment image, to described with color range adjustment equipment
Repeatedly adjustment image executes closed operation processing processing, to obtain and export corresponding closed operation processing image；
Data selection equipment is connect with the closed operation processing equipment, for receiving the closed operation processing image, to institute
It states closed operation processing image and executes the image block acquisition based on JiuGongTu to obtain the image block of nine same sizes, closed described
It is flat to obtain closed operation image to carry out arithmetic mean of instantaneous value calculating for nine smoothnesses of nine image blocks in calculation process image
Slippery is also used to execute standardized test chart image block of the image block acquisition based on JiuGongTu to obtain nine same sizes,
Nine smoothnesses of nine image blocks described in the standardized test chart are carried out arithmetic mean of instantaneous value to calculate to obtain test image
Smoothness；
Smoothing processing equipment is connect with the data selection equipment, right for receiving the unreliable order of the parameter
The closed operation processing image executes image smoothing movement, to obtain smoothing processing image, is also used to receiving the parameter
Reliable commands are exported using closed operation processing image as smoothing processing image；
Soundboard extract equipment is connect with the smoothing processing equipment, for being put down based on soundboard benchmark geometric shape from described
Corresponding soundboard region is searched out in sliding processing image；
Iron rust analytical equipment is connect with the soundboard extract equipment, for receiving the soundboard region, and by the soundboard
Pixel of the red color component value between iron rust upper limit gray threshold and iron rust lower limit gray threshold is as iron rust pixel in region
Point；
Time division duplex communication interface is connect with the data selection equipment, for wirelessly knowing the standardized test chart, and
The standardized test chart is sent to the data selection equipment.
In the soundboard iron rust analysis platform: in the data selection equipment, when the closed operation Image Smoothness
When more than the test image smoothness, reliable in parameters order is issued, when the closed operation Image Smoothness is less than the survey
When trying Image Smoothness, the unreliable order of parameter is issued.
In the soundboard iron rust analysis platform, further includes:
Image sharpening equipment is connect with the smoothing processing equipment, for receiving the smoothing processing image, based on described
The noise amplitude of maximum amplitude noise type determines the respective image implemented to the smoothing processing image in smoothing processing image
Sharpness, to obtain instant sharpening image.
In the soundboard iron rust analysis platform, further includes:
Edge detection equipment sharpens equipment with described image and connect, and for receiving the instant sharpening image, is based on edge
Point tonal range extracts multiple edge pixel points from the instant sharpening image, intends the multiple edge pixel point
It closes, to obtain multiple edge lines.
In the soundboard iron rust analysis platform, further includes:
Distribution measurement apparatus is connect, for receiving respectively with the soundboard extract equipment and the edge detection equipment
Instant sharpening image and the multiple edge line are stated, the signal-to-noise ratio based on the instant sharpening image schemes the instant sharpening
The edge line quantity in each subgraph is measured to obtain multiple subgraphs as carrying out uniform formula division, by edge line quantity
More than one or more subgraphs of preset quantity threshold value as one or more target subgraphs to replace the smoothing processing
Image is exported to the soundboard extract equipment.
In the soundboard iron rust analysis platform: in the edge detection equipment, being based on marginal point tonal range from institute
State extracted in instant sharpening image multiple edge pixel points include: for each of instant sharpening image pixel,
It determines whether its gray value falls in the marginal point tonal range, when falling in the marginal point tonal range, determines the picture
Vegetarian refreshments is edge pixel point, is non-edge pixels point otherwise.
In the soundboard iron rust analysis platform: in the edge detection equipment, the marginal point tonal range is by side
Edge point upper limit gray threshold and marginal point lower limit gray threshold composition.
In addition, MCU controller, i.e. micro-control unit (MicrocontrollerUnit；MCU), also known as single-sheet miniature calculates
Machine (Single Chip Microcomputer) or single-chip microcontroller are central processing unit (Central Process Unit；
CPU frequency) and specification do appropriate reduction, and by memory (memory), counter (Timer), USB, A/D conversion, UART,
The perimeter interfaces such as PLC, DMA or even LCD driving circuit all integrate the computer for forming chip-scale on a single chip, for difference
Application do various combination control.Such as mobile phone, PC periphery, remote controler, until automotive electronics, industrial stepper motor,
The control etc. of robotic arm, the figure of all visible MCU.It is the MCU market mainstream that 32 MCU, which can be said, and single quotation is 1.5~4
Between dollar, working frequency between 100~350MHz, executes efficiency more preferably, application type is also quite polynary mostly.But 32
MCU can because operand and memory length increase, the program code length of identical function compared with 8/16bit MCU increase by 30~
40%, this causes embedded OTP/FlashROM memory size cannot be too small, and the external pin number amount of chip explodes, and further limits to
The cost cutting ability of 32bit MCU.
Using soundboard iron rust analysis platform of the invention, excessively lead to musical note for fender soundboard iron rust in the prior art
Inaccurate technical problem is known newest standardized test chart by using time division duplex communication mode, is held based on standardized test chart
Row analyzes the smoothness of closed operation treated image, to determine the need for adding image smoothing movement；Using iron rust at
As the specific distribution of the red channel of pixel is customized detection to the iron rust in soundboard region；Importantly, will
The ratio that the sum of iron rust pixel in soundboard region occupies the pixel sum in soundboard region is led in time as distribution proportion
Know to user, to avoid the soundboard for using excessive iron rust.
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 (10)
1. a kind of soundboard iron rust analysis platform characterized by comprising
Fender mechanism, including keyboard section sweeps interface, interface is swept in keyboard position, pull-up resistor row, MCU controller, midi interface and
Crystal oscillator equipment, the midi interface are connect with the MCU controller；
Wherein, the working frequency of the crystal oscillator equipment is 6MHz, is connect with the MCU controller, for being the MCU controller
Clock signal is provided.
2. soundboard iron rust analysis platform as described in claim 1, it is characterised in that:
It is 8 parallel-by-bit interfaces that the keyboard section, which sweeps interface, is connect with the one 8 parallel-by-bit pin of the MCU controller.
3. soundboard iron rust analysis platform as claimed in claim 2, it is characterised in that:
It is 8 parallel-by-bit interfaces that interface is swept in the keyboard position, is connect with the 2nd 8 parallel-by-bit pin of the MCU controller.
4. soundboard iron rust analysis platform as claimed in claim 3, which is characterized in that the platform further include:
It is distributed evaluation apparatus, is connect with iron rust analytical equipment, for the sum of the iron rust pixel in soundboard region to be occupied sound
The ratio of the pixel sum in plate region is exported as distribution proportion；
Voice plays chip, connect with the distribution evaluation apparatus, for reception and plays the distribution proportion in real time；
Button video camera, be arranged in fender mechanism, for executions camera shooting in-house to fender act, with acquisition and it is defeated
Current image frame out；
Repeatedly adjustment equipment, connect, for receiving the current image frame, to the current image frame with the button video camera
The multiple color range adjustment based on signal-to-noise ratio is executed, to obtain corresponding repeatedly adjustment image, the signal-to-noise ratio of the current image frame
Lower, the number of the color range adjustment of execution is more；
Closed operation processing equipment is connect with color range adjustment equipment, for receiving the multiple adjustment image, to described multiple
It adjusts image and executes closed operation processing processing, to obtain and export corresponding closed operation processing image；
Data selection equipment is connect with the closed operation processing equipment, for receiving the closed operation processing image, is closed to described
Calculation process image executes the image block based on JiuGongTu and obtains to obtain the image block of nine same sizes, by the closed operation
Nine smoothnesses for handling nine image blocks in image carry out arithmetic mean of instantaneous value and calculate to obtain closed operation Image Smoothness,
It is also used to execute standardized test chart the image block based on JiuGongTu and obtain to obtain the image block of nine same sizes, it will be described
Nine smoothnesses of nine image blocks carry out arithmetic mean of instantaneous value calculating to obtain test image smoothness in standardized test chart；
Smoothing processing equipment is connect with the data selection equipment, for receiving the unreliable order of the parameter, to described
Closed operation handles image and executes image smoothing movement, to obtain smoothing processing image, is also used to receiving the reliable in parameters
Order is exported using closed operation processing image as smoothing processing image；
Soundboard extract equipment is connect with the smoothing processing equipment, for based on soundboard benchmark geometric shape from it is described it is smooth from
Corresponding soundboard region is searched out in reason image；
Iron rust analytical equipment is connect with the soundboard extract equipment, for receiving the soundboard region, and by the soundboard region
Pixel of the middle red color component value between iron rust upper limit gray threshold and iron rust lower limit gray threshold is as iron rust pixel；
Time division duplex communication interface is connect with the data selection equipment, for wirelessly knowing the standardized test chart, and by institute
It states standardized test chart and is sent to the data selection equipment.
5. soundboard iron rust analysis platform as claimed in claim 4, it is characterised in that:
In the data selection equipment, when the closed operation Image Smoothness is more than the test image smoothness, issue
It is unreliable to issue parameter when the closed operation Image Smoothness is less than the test image smoothness for reliable in parameters order
Order.
6. soundboard iron rust analysis platform as claimed in claim 5, which is characterized in that the platform further include:
Image sharpening equipment is connect with the smoothing processing equipment, for receiving the smoothing processing image, based on described smooth
The noise amplitude of maximum amplitude noise type, which determines, in processing image sharpens the respective image that the smoothing processing image is implemented
Degree, to obtain instant sharpening image.
7. soundboard iron rust analysis platform as claimed in claim 6, which is characterized in that the platform further include:
Edge detection equipment sharpens equipment with described image and connect, for receiving the instant sharpening image, based on marginal point ash
Degree range extracts multiple edge pixel points from the instant sharpening image, is fitted to the multiple edge pixel point, with
Obtain multiple edge lines.
8. soundboard iron rust analysis platform as claimed in claim 7, which is characterized in that the platform further include:
Distribution measurement apparatus is connect with the soundboard extract equipment and the edge detection equipment respectively, for receive it is described i.e.
When sharpening image and the multiple edge line, the signal-to-noise ratio based on the instant sharpening image to the instant sharpening image into
The uniform formula of row divides, and to obtain multiple subgraphs, measures the edge line quantity in each subgraph, is more than by edge line quantity
One or more subgraphs of preset quantity threshold value are as one or more target subgraphs to replace the smoothing processing image
It exports to the soundboard extract equipment.
9. soundboard iron rust analysis platform as claimed in claim 8, it is characterised in that:
In the edge detection equipment, multiple edge pictures are extracted from the instant sharpening image based on marginal point tonal range
Vegetarian refreshments includes: to determine whether its gray value falls in the marginal point for each of instant sharpening image pixel
In tonal range, when falling in the marginal point tonal range, determines that the pixel is edge pixel point, be non-edge otherwise
Pixel.
10. soundboard iron rust analysis platform as claimed in claim 9, it is characterised in that:
In the edge detection equipment, the marginal point tonal range is by marginal point upper limit gray threshold and marginal point lower limit ash
Spend threshold value composition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811569393.2A CN109655458B (en) | 2018-12-21 | 2018-12-21 | Soundboard iron rust analysis platform |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811569393.2A CN109655458B (en) | 2018-12-21 | 2018-12-21 | Soundboard iron rust analysis platform |
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| Publication Number | Publication Date |
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| CN109655458A true CN109655458A (en) | 2019-04-19 |
| CN109655458B CN109655458B (en) | 2021-04-23 |
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ID=66115405
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| CN201811569393.2A Active CN109655458B (en) | 2018-12-21 | 2018-12-21 | Soundboard iron rust analysis platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113249949A (en) * | 2021-05-27 | 2021-08-13 | 孔华 | Cotton discharge quality judgment system and method for automatic cotton fluffing structure |
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| CN109655458B (en) | 2021-04-23 |
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