CN109461425A - Tuning model selection mechanism - Google Patents

Tuning model selection mechanism Download PDF

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Publication number
CN109461425A
CN109461425A CN201811569107.2A CN201811569107A CN109461425A CN 109461425 A CN109461425 A CN 109461425A CN 201811569107 A CN201811569107 A CN 201811569107A CN 109461425 A CN109461425 A CN 109461425A
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image
equipment
data block
level difference
tuning
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Inventor
袁美丽
傅斌
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Yuyao Rongda Plastic Industry Co Ltd
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Yuyao Rongda Plastic Industry Co Ltd
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Priority to CN201811569107.2A priority Critical patent/CN109461425A/en
Publication of CN109461425A publication Critical patent/CN109461425A/en
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10CPIANOS, HARPSICHORDS, SPINETS OR SIMILAR STRINGED MUSICAL INSTRUMENTS WITH ONE OR MORE KEYBOARDS
    • G10C9/00Methods, tools or materials specially adapted for the manufacture or maintenance of musical instruments covered by this subclass

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to a kind of tuning model selection mechanisms, comprising: upright piano main body, including spring rail, spring rail felt, mallet handle, mallet rail felt-cloth, sound stopping device regulations and parameters, sound stopping device spring, capstan winch steel nail, rear retaining frame, humidity sensor and red indicating light;The humidity sensor is used to incude the humidity of upright piano main body current location, to export as current humidity;The red indicating light is connect with the humidity sensor, for when the current humidity is more than or equal to default humidity threshold, the red light for carrying out predeterminated frequency to be shown;The red light that the red indicating light is also used to stop carrying out predeterminated frequency when the current humidity is less than the default humidity threshold is shown;Automatic tuning equipment for being numbered the corresponding tuning mode that determines based on the active user received, and is executed corresponding tuning to the upright piano main body based on determining tuning mode and handled.Through the invention, the flexibility of upright piano tuning is improved.

Description

Tuning model selection mechanism
Technical field
The present invention relates to upright piano field more particularly to a kind of tuning model selection mechanisms.
Background technique
Upright piano tuning nail is some spike bolts that rotation can be twisted with special wrench set.Its lathe is that have lock The special high-carbon steel of mouth, thus string can be wound on securely peg and nail on, and cause accuracy in pitch energy under the effect of string high strength tension It keeps and settles out for a long time.The felt or flannelette that enclose high-quality outside hammer, since this layer " skin " is mostly that wool is made, because And also known as wool mallet.Itself is ined succession key, and when key is pressed, hammer will be hit down on string and by the vibration of string Make a sound piano.Therefore, his effect is for tapping the string for being clenched and detaining by tuning.
Damper is close to string, for preventing the vibration of string.Such as when the key on piano is pressed, in piano The hammer in portion can be beaten on the string that a rule is made with copper, be made a sound by the vibration of string.
Soundboard is located at one piece of big plank inside piano, and high-grade piano is combined into maple solid wood board, and modern low side popularizes qin Useful density board.He ins succession tuning nail, is close to string, and when string vibrates, soundboard can be such that sound wave high efficiency is coupled in air, Sound is reflected and expanded through castanets and is come out.
Summary of the invention
In order to solve the single inflexible technical problem of current upright piano tuning mode, the present invention provides one kind Tuning model selection mechanism.
For this purpose, the inventive point that the present invention needs at least to have following a few place's keys: (1) picture level difference is less than after treatment When threshold value poor equal to predetermined level, circulating dynamic range adjustment is executed to dynamic range adjustment image and is handled, until The level difference for obtaining treated image is more than predetermined level difference threshold value;(2) it according to the recognition result to active user, determines And different tuning modes is executed to upright piano main body, under different tuning modes, the upright piano main body of setting The parameter of building block is different.
According to an aspect of the present invention, a kind of tuning model selection mechanism is provided, the mechanism includes:
Upright piano main body, including spring rail, spring rail felt, mallet handle, mallet rail felt-cloth, sound stopping device regulations and parameters, sound stopping device bullet Spring, capstan winch steel nail, rear retaining frame, humidity sensor and red indicating light;The humidity sensor is for incuding upright piano master The humidity of body current location, to be exported as current humidity;The red indicating light is connect with the humidity sensor, for connecing The current humidity is received, and when the current humidity is more than or equal to default humidity threshold, carries out the red light of predeterminated frequency Display;The red indicating light is also used to when the current humidity is less than the default humidity threshold, and stopping carries out default frequency The red light of rate is shown;Automatic tuning equipment is connect with user's discrimination apparatus, for based on the active user's number received It determines corresponding tuning mode, and the upright piano main body is executed at corresponding tuning based on determining tuning mode Reason;Wired video equipment, setting is on the rear retaining frame, for carrying out the behaviour that makes video recording immediately to environment where the rear retaining frame Make, to obtain corresponding image of making video recording immediately;Dividing processing equipment is connect with wired video equipment, described for receiving Immediately image of making video recording adjusts the image execution dynamic range adjustment processing of making video recording immediately to obtain corresponding dynamic range Image is also used to execute subgraph dividing processing to the image of making video recording immediately based on default division size, to obtain multiple the One subgraph executes subgraph dividing processing to dynamic range adjustment image based on default division size, multiple to obtain Second subgraph;Level difference obtains equipment, connect with the dividing processing equipment, for will preset in the image of making video recording immediately Multiple level differences of multiple first subgraphs of position average processing, handle preceding level difference to obtain, are also used to institute The multiple level differences for stating multiple second subgraphs of predeterminated position in dynamic range adjustment image average processing, to obtain Level difference after processing, wherein the level difference of image is that maximum level value subtracts minimum levels value difference obtained;At level difference Manage equipment, obtain equipment with the level difference and connect, for after the processing received level difference be less than or equal to it is default electric When adjustment threshold value, circulating dynamic range adjustment is executed to dynamic range adjustment image and is handled, until the processing of acquisition The level difference of image afterwards is more than predetermined level difference threshold value, and as level difference to handle image defeated for the image that will acquire that treated Out;User's discrimination apparatus is connect with the level difference processing equipment, for the human body contour outline in level difference processing image Identification is executed, to obtain corresponding active user's number;Wherein, in the automatic tuning equipment, under different tuning modes, The parameter of the building block of the upright piano main body of setting is different;Wherein, the level difference processing equipment further includes level difference Receive the sub- equipment of sub- equipment, circular treatment and image and export sub- equipment, the sub- equipment of circular treatment respectively with the level difference Sub- equipment is received to connect with the sub- equipment of described image output;Wherein, the sub- equipment of the circular treatment is used for described in receive When level difference is less than or equal to predetermined level difference threshold value after processing, circulating dynamic model is executed to dynamic range adjustment image Adjustment processing is enclosed, until the level difference of acquisition treated image is more than predetermined level difference threshold value.
More specifically, in the tuning model selection mechanism: being obtained in equipment in the level difference, the predeterminated position For the central location for handling image, i.e., image or the image of making video recording immediately, the default position are adjusted for the dynamic range It is set to the central location of the dynamic range adjustment image or the image of making video recording immediately.
More specifically, in the tuning model selection mechanism, further includes:
Airspace filter equipment is connect with the level difference processing equipment, for receiving the level difference processing image, to institute It states level difference processing image and executes airspace filter, to obtain and export corresponding airspace filter image.
More specifically, in the tuning model selection mechanism, further includes:
Tracing analysis equipment is connect with the airspace filter equipment, for analyzing each song in the airspace filter image The corresponding each distortion grade of line, and when there is the curve that distortion grade transfinites, issue first mode switching signal.
More specifically, in the tuning model selection mechanism, further includes:
Curve adjusts equipment, connect with the tracing analysis equipment, for receiving the first mode switching signal When, distortion adjustment is carried out to each curve in the airspace filter image, to obtain corresponding distortion adjustment image.
More specifically, in the tuning model selection mechanism, further includes:
Data block identification apparatus is connect with curve adjustment equipment, for based on each of the distortion adjustment image The red color channel value of pixel generates red matrix, and the yellow channels value of each pixel based on the distortion adjustment image is raw The blue channel value of yellowly matrix, each pixel based on the distortion adjustment image generates blue matrix, and detection is red In matrix in each data block each data all directions gradient value, when depositing gradient in a certain direction in data block When the quantity for the data that value transfinites is more than or equal to preset quantity threshold value, assert the data block for red delta data block, detection In yellow matrix in each data block each data all directions gradient value, when being deposited in a certain direction in data block When the quantity for the data that gradient value transfinites is more than or equal to preset quantity threshold value, assert that the data block is yellow delta data block, The gradient value for detecting each data all directions in each data block in blue matrix, when there are some sides in data block To the quantity of data that transfinites of gradient value be more than or equal to preset quantity threshold value when, assert the data block for blue delta data Block.
More specifically, in the tuning model selection mechanism, further includes:
It is distributed analyzing device, is connect respectively with user's discrimination apparatus and the data block identification apparatus, for receiving Each red delta data block, each yellow delta data block and each blue delta data block, and red delta data block, When yellow delta data block and blue delta data block identical corresponding to the distortion adjustment image block of image, by described image Each effective image block in the distortion adjustment image is integrally replaced the level difference and handled by block as effective image block Image is sent to user's discrimination apparatus.
More specifically, in the tuning model selection mechanism: any abnormal being not present in the tracing analysis equipment When becoming the curve that grade transfinites, second mode switching signal is issued;Wherein, in curve adjustment equipment, when receiving When stating second mode switching signal, stopping carries out distortion adjustment to each curve in the airspace filter image, by the sky Domain filtering image is as distortion adjustment image.
More specifically, in the tuning model selection mechanism: the number in the data block identification apparatus, in red matrix Size according to the data block in the size of the data block in the size of block, yellow matrix and blue matrix is identical;Wherein, it realizes Resolution ratio of the type selecting of the processor of the data block identification apparatus based on the distortion adjustment image, the distortion adjust image Resolution ratio it is higher, type selecting obtain the processor for realizing the data block identification apparatus digit it is higher.
Specific embodiment
The embodiment of tuning model selection mechanism of the invention will be described in detail below.
When upright piano is played, key cannot be fiercely tapped with hand or trample sole suddenly with foot, in order to avoid cause to hit string Mechanical damage and footrest spring breakage not portray key and surface of the paint film with sharp instrument.When being opened and closed qin lid, movement should not be too quickly, Bookshelf should be closed first, in case key is impaired when opening and closing qin lid.Piano use, which finishes, all to close qin lid etc., and covers Qin set prevents the invasion of dust.
In order to overcome above-mentioned deficiency, the present invention has built a kind of tuning model selection mechanism, can effectively solve the problem that corresponding Technical problem.
The tuning model selection mechanism shown according to an embodiment of the present invention includes:
Upright piano main body, including spring rail, spring rail felt, mallet handle, mallet rail felt-cloth, sound stopping device regulations and parameters, sound stopping device bullet Spring, capstan winch steel nail, rear retaining frame, humidity sensor and red indicating light;
The humidity sensor is used to incude the humidity of upright piano main body current location, using defeated as current humidity Out;
The red indicating light is connect with the humidity sensor, for receiving the current humidity, and described current When humidity is more than or equal to default humidity threshold, the red light for carrying out predeterminated frequency is shown;
The red indicating light is also used to when the current humidity is less than the default humidity threshold, and stopping is preset The red light of frequency is shown;
Automatic tuning equipment is connect with user's discrimination apparatus, determines correspondence for numbering based on the active user received Tuning mode, and corresponding tuning is executed to the upright piano main body based on determining tuning mode and is handled;
Wired video equipment, setting is on the rear retaining frame, for being recorded immediately to environment where the rear retaining frame Shadow operation, to obtain corresponding image of making video recording immediately;
Dividing processing equipment is connect with wired video equipment, for receiving the image of making video recording immediately, is to described Shi Luying image executes dynamic range adjustment processing, to obtain corresponding dynamic range adjustment image, is also used to based on default point It cuts size and subgraph dividing processing is executed to the image of making video recording immediately, to obtain multiple first subgraphs, based on default segmentation Size executes subgraph dividing processing to dynamic range adjustment image, to obtain multiple second subgraphs;
Level difference obtains equipment, connect with the dividing processing equipment, for will preset position in the image of making video recording immediately The multiple level differences for multiple first subgraphs set average processing, handle preceding level difference to obtain, being also used to will be described Multiple level differences of multiple second subgraphs of predeterminated position average processing in dynamic range adjustment image, to be located Level difference after reason, wherein the level difference of image is that maximum level value subtracts minimum levels value difference obtained;
Level difference processing equipment obtains equipment with the level difference and connect, for the level after the processing received When difference is less than or equal to predetermined level difference threshold value, dynamic range adjustment image is executed at circulating dynamic range adjustment Reason until the level difference of acquisition treated image is more than predetermined level difference threshold value, and will acquire that treated image made Image output is handled for level difference;
User's discrimination apparatus is connect with the level difference processing equipment, for the people in level difference processing image Body profile executes identification, to obtain corresponding active user's number;
Wherein, in the automatic tuning equipment, under different tuning modes, the composition of the upright piano main body of setting The parameter of component is different;
Wherein, the level difference processing equipment further includes that the sub- equipment of level poor reception, the sub- equipment of circular treatment and image are defeated Sub- equipment out, the sub- equipment of circular treatment export sub- equipment with the sub- equipment of the level poor reception and described image respectively and connect It connects;
Wherein, the sub- equipment of the circular treatment be used for after the processing received level difference be less than or equal to predetermined level When poor threshold value, circulating dynamic range adjustment is executed to dynamic range adjustment image and is handled, after the processing of acquisition Image level difference be more than predetermined level difference threshold value.
Then, continue that the specific structure of tuning model selection mechanism of the invention is further detailed.
In the tuning model selection mechanism: being obtained in equipment in the level difference, the predeterminated position is processing figure The central location of picture, i.e., for dynamic range adjustment image or the image of making video recording immediately, the predeterminated position is described The central location of dynamic range adjustment image or the image of making video recording immediately.
In the tuning model selection mechanism, further includes:
Airspace filter equipment is connect with the level difference processing equipment, for receiving the level difference processing image, to institute It states level difference processing image and executes airspace filter, to obtain and export corresponding airspace filter image.
In the tuning model selection mechanism, further includes:
Tracing analysis equipment is connect with the airspace filter equipment, for analyzing each song in the airspace filter image The corresponding each distortion grade of line, and when there is the curve that distortion grade transfinites, issue first mode switching signal.
In the tuning model selection mechanism, further includes:
Curve adjusts equipment, connect with the tracing analysis equipment, for receiving the first mode switching signal When, distortion adjustment is carried out to each curve in the airspace filter image, to obtain corresponding distortion adjustment image.
In the tuning model selection mechanism, further includes:
Data block identification apparatus is connect with curve adjustment equipment, for based on each of the distortion adjustment image The red color channel value of pixel generates red matrix, and the yellow channels value of each pixel based on the distortion adjustment image is raw The blue channel value of yellowly matrix, each pixel based on the distortion adjustment image generates blue matrix, and detection is red In matrix in each data block each data all directions gradient value, when depositing gradient in a certain direction in data block When the quantity for the data that value transfinites is more than or equal to preset quantity threshold value, assert the data block for red delta data block, detection In yellow matrix in each data block each data all directions gradient value, when being deposited in a certain direction in data block When the quantity for the data that gradient value transfinites is more than or equal to preset quantity threshold value, assert that the data block is yellow delta data block, The gradient value for detecting each data all directions in each data block in blue matrix, when there are some sides in data block To the quantity of data that transfinites of gradient value be more than or equal to preset quantity threshold value when, assert the data block for blue delta data Block.
In the tuning model selection mechanism, further includes:
It is distributed analyzing device, is connect respectively with user's discrimination apparatus and the data block identification apparatus, for receiving Each red delta data block, each yellow delta data block and each blue delta data block, and red delta data block, When yellow delta data block and blue delta data block identical corresponding to the distortion adjustment image block of image, by described image Each effective image block in the distortion adjustment image is integrally replaced the level difference and handled by block as effective image block Image is sent to user's discrimination apparatus.
In the tuning model selection mechanism:
In the tracing analysis equipment, in the curve to transfinite there is no any distortion grade, issues second mode and cut Change signal;
Wherein, in curve adjustment equipment, when receiving the second mode switching signal, stop to the sky Each curve in the filtering image of domain carries out distortion adjustment, adjusts image for the airspace filter image as distortion.
In the tuning model selection mechanism: in the data block identification apparatus, data block in red matrix it is big The size of the size of data block small, in yellow matrix and the data block in blue matrix is identical;
Wherein, realize the type selecting of the processor of the data block identification apparatus based on the resolution of the distortion adjustment image The resolution ratio of rate, the distortion adjustment image is higher, the processor for realizing the data block identification apparatus that type selecting obtains Digit it is higher.
In addition, in the tuning model selection mechanism: the level difference processing equipment is a CPLD chip.CPLD (Complex Programmable Logic Device) Complex Programmable Logic Devices, is gone out from PAL and GAL device development The device come, in contrast scale is big, and structure is complicated, belongs to large scale integrated circuit range.It is a kind of user according to respective need Want and the voluntarily digital integrated electronic circuit of constitutive logic function.Its basic design method is by Integrated Development software platform, with original The methods of reason figure, hardware description language, generate corresponding file destination, are passed code by download cable (" in system " programs) It is sent in objective chip, realizes the digital display circuit of design.CPLD is mainly compiling around center by programmable logic macroelement Journey interconnection matrix unit composition.Wherein MC structure is more complex, and has complicated I/O cell interconnection structure, can by user according to It needs to generate specific circuit structure, completes certain function.It is each due to being carried out inside CPLD using the metal wire of regular length It is endless to avoid segmented interconnection structure timing so the logic circuit of design has time predictability for the interconnection of logical block The shortcomings that full prediction.
It is single not enough for upright piano tuning mode in the prior art using tuning model selection mechanism of the invention Flexible technical problem when picture level difference is less than or equal to predetermined level difference threshold value after treatment, adjusts the dynamic range Image executes circulating dynamic range adjustment processing, until the level difference of acquisition treated image is more than that predetermined level is poor Threshold value;Importantly, determining according to the recognition result to active user and executing different tunings to upright piano main body Mode, under different tuning modes, the parameter of the building block of the upright piano main body of setting is different;It is above-mentioned to solve 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 (9)

1. a kind of tuning model selection mechanism characterized by comprising
Upright piano main body, including spring rail, spring rail felt, mallet handle, mallet rail felt-cloth, sound stopping device regulations and parameters, sound stopping device spring, strand Disk steel nail, rear retaining frame, humidity sensor and red indicating light;
The humidity sensor is used to incude the humidity of upright piano main body current location, to export as current humidity;
The red indicating light is connect with the humidity sensor, for receiving the current humidity, and in the current humidity When more than or equal to default humidity threshold, the red light for carrying out predeterminated frequency is shown;
The red indicating light is also used to stop carrying out predeterminated frequency when the current humidity is less than the default humidity threshold Red light show;
Automatic tuning equipment is connect with user's discrimination apparatus, determines corresponding tune for numbering based on the active user received Sound mode, and corresponding tuning is executed to the upright piano main body based on determining tuning mode and is handled;
Wired video equipment, setting is on the rear retaining frame, for carrying out the behaviour that makes video recording immediately to environment where the rear retaining frame Make, to obtain corresponding image of making video recording immediately;
Dividing processing equipment is connect with wired video equipment, for receiving the image of making video recording immediately, to the instant record Shadow image executes dynamic range adjustment processing, to obtain corresponding dynamic range adjustment image, is also used to based on default segmentation ruler It is very little that subgraph dividing processing is executed to the image of making video recording immediately, to obtain multiple first subgraphs, based on default division size Subgraph dividing processing is executed to dynamic range adjustment image, to obtain multiple second subgraphs;
Level difference obtains equipment, connect with the dividing processing equipment, for by predeterminated position in the instant image of making video recording Multiple level differences of multiple first subgraphs average processing, handle preceding level difference to obtain, are also used to the dynamic Multiple level differences of multiple second subgraphs of predeterminated position average processing in range adjustment image, after being handled Level difference, wherein the level difference of image is that maximum level value subtracts minimum levels value difference obtained;
Level difference processing equipment, with the level difference obtain equipment connect, for after the processing received level difference it is small When being equal to predetermined level difference threshold value, circulating dynamic range adjustment is executed to dynamic range adjustment image and is handled, directly Level difference to acquisition treated image is more than predetermined level difference threshold value, and the image that will acquire that treated is as level Difference processing image output;
User's discrimination apparatus is connect with the level difference processing equipment, for the human body wheel in level difference processing image Exterior feature executes identification, to obtain corresponding active user's number;
Wherein, in the automatic tuning equipment, under different tuning modes, the building block of the upright piano main body of setting Parameter it is different;
Wherein, the level difference processing equipment further includes the sub- equipment of level poor reception, the sub- equipment of circular treatment and image output Equipment, the sub- equipment of circular treatment export sub- equipment with the sub- equipment of the level poor reception and described image respectively and connect;
Wherein, the sub- equipment of the circular treatment be used for after the processing received level difference be less than or equal to predetermined level difference threshold When value, circulating dynamic range adjustment is executed to dynamic range adjustment image and is handled, until acquisition treated figure The level difference of picture is more than predetermined level difference threshold value.
2. tuning model selection mechanism as described in claim 1, it is characterised in that:
It is obtained in equipment in the level difference, the predeterminated position is the central location for handling image, that is, is directed to the dynamic model Enclose adjustment image or it is described make video recording image immediately, the predeterminated position is that the dynamic range adjusts image or described makes video recording immediately The central location of image.
3. tuning model selection mechanism as claimed in claim 2, which is characterized in that the mechanism further include:
Airspace filter equipment is connect with the level difference processing equipment, for receiving the level difference processing image, to the electricity Adjustment processing image executes airspace filter, to obtain and export corresponding airspace filter image.
4. tuning model selection mechanism as claimed in claim 3, which is characterized in that the mechanism further include:
Tracing analysis equipment is connect with the airspace filter equipment, for analyzing each curve point in the airspace filter image Not corresponding each distortion grade, and when there is the curve that distortion grade transfinites, issue first mode switching signal.
5. tuning model selection mechanism as claimed in claim 4, which is characterized in that the mechanism further include:
Curve adjusts equipment, connect with the tracing analysis equipment, right for when receiving the first mode switching signal Each curve in the airspace filter image carries out distortion adjustment, to obtain corresponding distortion adjustment image.
6. tuning model selection mechanism as claimed in claim 5, which is characterized in that the mechanism further include:
Data block identification apparatus is connect with curve adjustment equipment, for each pixel based on the distortion adjustment image The red color channel value of point generates red matrix, and the yellow channels value of each pixel based on the distortion adjustment image generates yellow The blue channel value of colour moment battle array, each pixel based on the distortion adjustment image generates blue matrix, detects red matrix In in each data block each data all directions gradient value, it is super when depositing gradient value in a certain direction in data block When the quantity of the data of limit is more than or equal to preset quantity threshold value, assert that the data block for red delta data block, detects yellow In matrix in each data block each data all directions gradient value, when depositing gradient in a certain direction in data block When the quantity for the data that value transfinites is more than or equal to preset quantity threshold value, assert that the data block is yellow delta data block, detection In blue matrix in each data block each data all directions gradient value, when being deposited in a certain direction in data block When the quantity for the data that gradient value transfinites is more than or equal to preset quantity threshold value, assert the data block for blue delta data block.
7. tuning model selection mechanism as claimed in claim 6, which is characterized in that the mechanism further include:
It is distributed analyzing device, is connect respectively with user's discrimination apparatus and the data block identification apparatus, it is each for receiving Red delta data block, each yellow delta data block and each blue delta data block, and in red delta data block, yellow When delta data block and blue delta data block identical corresponding to the distortion adjustment image block of image, described image block is made For effective image block, and each effective image block in the distortion adjustment image is integrally replaced into the level difference and handles image It is sent to user's discrimination apparatus.
8. tuning model selection mechanism as claimed in claim 7, it is characterised in that:
In the tracing analysis equipment, in the curve to transfinite there is no any distortion grade, second mode switching letter is issued Number;
Wherein, in curve adjustment equipment, when receiving the second mode switching signal, stop filtering the airspace Each curve in wave image carries out distortion adjustment, adjusts image for the airspace filter image as distortion.
9. tuning model selection mechanism as claimed in claim 8, it is characterised in that:
In the data block identification apparatus, the size of the data block in red matrix, the size of data block in yellow matrix with And the size of the data block in blue matrix is identical;
Wherein, realize the type selecting of the processor of the data block identification apparatus based on the resolution ratio of the distortion adjustment image, institute The resolution ratio for stating distortion adjustment image is higher, the digit for the processor for realizing the data block identification apparatus that type selecting obtains It is higher.
CN201811569107.2A 2018-12-21 2018-12-21 Tuning model selection mechanism Pending CN109461425A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724435A (en) * 2019-03-19 2020-09-29 泰州三凯工程技术有限公司 Building self-adaptive emergency processing method and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201397480Y (en) * 2009-05-21 2010-02-03 许虹 Piano humidity automatic controller
CN102480595A (en) * 2010-11-19 2012-05-30 富士通株式会社 Image processing apparatus, image processing method and computer readable information recording medium
KR20160147334A (en) * 2015-06-15 2016-12-23 동의대학교 산학협력단 Virtual Piano Event System and Control Method using Depth Information
CN206259168U (en) * 2016-11-14 2017-06-16 惠州市天音乐器有限公司 It is a kind of that piano sound pick-up is automatically adjusted based on recognition of face
CN206516333U (en) * 2017-03-08 2017-09-22 周国强 A kind of keyboard frame of adjustable key dynamics and the piano comprising the keyboard frame
CN108615512A (en) * 2018-05-25 2018-10-02 日照职业技术学院 A kind of piano key plays dynamics adjusting apparatus

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201397480Y (en) * 2009-05-21 2010-02-03 许虹 Piano humidity automatic controller
CN102480595A (en) * 2010-11-19 2012-05-30 富士通株式会社 Image processing apparatus, image processing method and computer readable information recording medium
KR20160147334A (en) * 2015-06-15 2016-12-23 동의대학교 산학협력단 Virtual Piano Event System and Control Method using Depth Information
CN206259168U (en) * 2016-11-14 2017-06-16 惠州市天音乐器有限公司 It is a kind of that piano sound pick-up is automatically adjusted based on recognition of face
CN206516333U (en) * 2017-03-08 2017-09-22 周国强 A kind of keyboard frame of adjustable key dynamics and the piano comprising the keyboard frame
CN108615512A (en) * 2018-05-25 2018-10-02 日照职业技术学院 A kind of piano key plays dynamics adjusting apparatus

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724435A (en) * 2019-03-19 2020-09-29 泰州三凯工程技术有限公司 Building self-adaptive emergency processing method and storage medium

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Application publication date: 20190312