CN111443325B - Watt-hour meter field parameter extracting method - Google Patents
Watt-hour meter field parameter extracting method Download PDFInfo
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- CN111443325B CN111443325B CN201910042043.9A CN201910042043A CN111443325B CN 111443325 B CN111443325 B CN 111443325B CN 201910042043 A CN201910042043 A CN 201910042043A CN 111443325 B CN111443325 B CN 111443325B
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention relates to an on-site parameter extraction method, which comprises the step of using an on-site parameter extraction platform to extract parameters on site. The field parameter extraction platform provided by the invention adopts a customized image processing mechanism and is effective in operation. Because the management mode of carrying out prevention and control operation under the condition of finding human targets is adopted, meaningless prevention and control misoperation which consumes resources is avoided, and the prevention and control efficiency of the watt-hour meter is improved.
Description
Technical Field
The invention relates to the field of kilowatt-hour meters, in particular to a method for extracting field parameters of the kilowatt-hour meter.
Background
The watt-hour meter can be divided into a direct current watt-hour meter and an alternating current watt-hour meter according to the used circuit. The ac watt-hour meter can be divided into single-phase watt-hour meter, three-phase three-wire watt-hour meter and three-phase four-wire watt-hour meter according to its phase line.
Electric meters can be classified into electromechanical meters and electronic meters (also called static meters and solid state meters) according to their operating principles. Electromechanical watt-hour meters are used in alternating current circuits as common electrical energy measuring instruments, among which induction type watt-hour meters are most commonly used. The electronic watt-hour meter can be divided into a full electronic watt-hour meter and an electromechanical watt-hour meter.
The watt-hour meter can be divided into an integral watt-hour meter and a split watt-hour meter according to its structure.
The watt-hour meters can be classified into active watt-hour meters, reactive watt-hour meters, maximum demand meters, standard watt-hour meters, multi-rate time-sharing watt-hour meters, prepayment watt-hour meters, loss watt-hour meters and multifunctional watt-hour meters according to their purposes.
Disclosure of Invention
The invention aims to provide a field parameter extraction method, which comprises the following steps of using a field parameter extraction platform to extract parameters on the field, wherein the field parameter extraction platform comprises:
the clothing analysis equipment is connected with the gamma adjustment equipment and used for carrying out matching analysis on the adjusted and combined image based on the preset reference clothing image and sending a site reliable signal when the matching degree is out of limit, otherwise, sending a site suspicious signal;
the circular fixing mechanism is arranged on the site of the watt-hour meter and comprises a circular plastic shell, an annular connecting belt, a shake analysis element and a plurality of shooting elements, wherein the circular plastic shell is fixedly connected to the telescopic bracket;
the plurality of shooting elements are used for respectively shooting surrounding scenes to respectively obtain a plurality of real-time scene image streams, the shake analysis element is respectively connected with the plurality of shooting elements, and the following processing is executed on each shooting element: judging and outputting the motion vector of a moving object in the real-time scene image stream based on the data analysis of front and back real-time scene images in the real-time scene image stream;
the combined processing image is connected with the plurality of shooting elements and is used for carrying out de-duplication combined processing on the plurality of real-time scene images respectively corresponding to the plurality of real-time scene image streams so as to obtain a de-duplicated combined image;
the opening operation processing device is connected with the combined processing image and used for receiving the de-recombined combined image and executing opening operation processing on the de-recombined combined image to obtain a corresponding opening operation processing image;
the correction processing device is connected with the opening operation processing device and used for receiving the opening operation processing image and executing distortion correction processing on the opening operation processing image so as to obtain and output a corresponding distortion correction image;
the FPM DRAM storage device is used for pre-storing a reference undistorted image, and the reciprocal of the distortion degree of each area in the reference undistorted image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the FPM DRAM storage device and is used for comparing the reciprocal of the distortion degree of the upper left corner area in the distortion correction image with the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image exceeds the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out, and when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image does not exceed the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out;
the distortion processing equipment is connected with the area comparison equipment, and is used for executing image distortion correction operation on the distortion correction image again to obtain a distortion processing image when the distortion degree unqualified signal is received, and is also used for directly outputting the distortion correction image as the distortion processing image when the distortion degree reciprocal qualified signal is received;
the linear interpolation device is connected with the distortion processing device and used for receiving the distortion processing image, executing linear interpolation action on the distortion processing image to obtain an image subjected to the linear interpolation action and outputting the image as a linear interpolation image;
the pixel point analysis equipment is connected with the linear interpolation equipment and used for receiving the linear interpolation image, judging noise points of all pixel points in the linear interpolation image and determining that each pixel point is a noise point or a non-noise point, wherein the pixel point analysis equipment detects various noises in the linear interpolation image to obtain each noise area in the linear interpolation image, confirms the pixel points in a certain noise area as the noise points and confirms the pixel points out of the noise areas as the non-noise points;
and the resolution measuring equipment is used for receiving the linear interpolation image, extracting the resolution of the linear interpolation image and mapping a preset sliding window with a corresponding size based on the resolution of the linear interpolation image, wherein the larger the resolution of the linear interpolation image is, the larger the radial length of the mapped preset sliding window is.
The invention has at least the following key invention points:
(1) introducing a reference undistorted image and performing reciprocal comparison of distortion degrees on the image after distortion correction processing;
(2) comparing the reciprocal of the distortion degree of the upper left corner area only so as to reduce the power consumption of the equipment on the premise of ensuring the accuracy of the comparison result;
(3) judging the reliability of the site based on the detection result of the electric power unit clothing on the site of the electric meter, and providing valuable reference data for the subsequent security processing of the electric meter;
(4) and determining a data processing mode of each channel of RGB of the pixel point to be processed based on a preset sliding window with the corresponding size of the resolution mapping of the high-definition image and based on the R channel value distribution condition of the pixel point in each direction in the preset sliding window, thereby obtaining the most effective reference value for image filtering.
The field parameter extraction platform provided by the invention adopts a customized image processing mechanism and is effective in operation. Because the management mode of carrying out prevention and control operation under the condition of finding human targets is adopted, meaningless prevention and control misoperation which consumes resources is avoided, and the prevention and control efficiency of the watt-hour meter is improved.
Detailed Description
The watt-hour meter is a professional instrument of an electric power department, the operation of the watt-hour meter needs a professional process of a worker to be completed, meanwhile, the watt-hour meter is generally arranged at a place far away from the electric power department, and a distributed setting mode is adopted, so that convenience is provided for a stealer.
At present, in the use of the watt-hour meter, the security control is always implemented in a mode of manual regular patrol, and the watt-hour meter is easily damaged or data is stolen in an unattended period.
In order to overcome the above-mentioned shortcomings, the present invention provides a field parameter extraction method, which comprises using a field parameter extraction platform to extract parameters on the field, wherein the field parameter extraction platform can effectively solve the technical problems.
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The field parameter extraction platform comprises:
the clothing analysis equipment is connected with the gamma adjustment equipment and used for carrying out matching analysis on the adjusted and combined image based on the preset reference clothing image and sending a site reliable signal when the matching degree is out of limit, otherwise, sending a site suspicious signal;
the circular fixing mechanism is arranged on the site of the watt-hour meter and comprises a circular plastic shell, an annular connecting belt, a shake analysis element and a plurality of shooting elements, wherein the circular plastic shell is fixedly connected to the telescopic bracket;
the plurality of shooting elements are used for respectively shooting surrounding scenes to respectively obtain a plurality of real-time scene image streams, the shake analysis element is respectively connected with the plurality of shooting elements, and the following processing is executed on each shooting element: judging and outputting the motion vector of a moving object in the real-time scene image stream based on the data analysis of front and back real-time scene images in the real-time scene image stream;
the combined processing image is connected with the plurality of shooting elements and is used for carrying out de-duplication combined processing on the plurality of real-time scene images respectively corresponding to the plurality of real-time scene image streams so as to obtain a de-duplicated combined image;
the opening operation processing device is connected with the combined processing image and used for receiving the de-recombined combined image and executing opening operation processing on the de-recombined combined image to obtain a corresponding opening operation processing image;
the correction processing device is connected with the opening operation processing device and used for receiving the opening operation processing image and executing distortion correction processing on the opening operation processing image so as to obtain and output a corresponding distortion correction image;
the FPM DRAM storage device is used for pre-storing a reference undistorted image, and the reciprocal of the distortion degree of each area in the reference undistorted image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the FPM DRAM storage device and is used for comparing the reciprocal of the distortion degree of the upper left corner area in the distortion correction image with the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image exceeds the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out, and when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image does not exceed the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out;
the distortion processing equipment is connected with the area comparison equipment, and is used for executing image distortion correction operation on the distortion correction image again to obtain a distortion processing image when the distortion degree unqualified signal is received, and is also used for directly outputting the distortion correction image as the distortion processing image when the distortion degree reciprocal qualified signal is received;
the linear interpolation device is connected with the distortion processing device and used for receiving the distortion processing image, executing linear interpolation action on the distortion processing image to obtain an image subjected to the linear interpolation action and outputting the image as a linear interpolation image;
the pixel point analysis equipment is connected with the linear interpolation equipment and used for receiving the linear interpolation image, judging noise points of all pixel points in the linear interpolation image and determining that each pixel point is a noise point or a non-noise point, wherein the pixel point analysis equipment detects various noises in the linear interpolation image to obtain each noise area in the linear interpolation image, confirms the pixel points in a certain noise area as the noise points and confirms the pixel points out of the noise areas as the non-noise points;
the resolution measuring equipment is used for receiving the linear interpolation image, extracting the resolution of the linear interpolation image and mapping a preset sliding window with a corresponding size based on the resolution of the linear interpolation image, wherein the larger the resolution of the linear interpolation image is, the larger the radial length of the mapped preset sliding window is;
the dynamic processing device is connected with the resolution measuring device and used for acquiring the preset sliding window and performing dynamic filtering processing on each pixel point in the linear interpolation image, wherein the dynamic processing device performs dynamic filtering processing on each pixel point in the linear interpolation image and comprises: taking each pixel point in the linear interpolation image as an object pixel point, determining each pixel point in a preset sliding window taking the object pixel point as a centroid in the linear interpolation image as each pixel point to be evaluated, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the horizontal direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the vertical direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the main diagonal direction taking the object pixel point as a center in the preset sliding window, and calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the auxiliary diagonal direction taking the object pixel point as a center in the preset sliding window Obtaining the mean square error of R channel values of the pixels to be evaluated, obtaining the minimum value of the four mean square errors, taking the mean value of the R channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed R channel value of the target pixels, taking the mean value of the G channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed G channel value of the target pixels, and taking the mean value of the B channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed B channel value of the target pixels;
the signal integration equipment is connected with the dynamic processing equipment and is used for acquiring a processed image corresponding to the linear interpolation image based on the processed R channel value, the processed G channel value and the processed B channel value of each pixel point in the linear interpolation image;
the gamma adjusting device is connected with the signal integrating device and used for receiving the processed image, equally dividing the processed image into blocks with corresponding block sizes based on the distance between the signal-to-noise ratio grade of the processed image and a preset lower-limit signal-to-noise ratio grade, selecting corresponding gamma adjusting processing with different strengths for each block based on the pixel value variance of the block to obtain adjusting blocks, and combining the obtained adjusting blocks to obtain an adjusting and combining image; in the gamma adjustment device, the farther the snr level of the processed image is from a preset lower snr level, the larger the corresponding block into which the processed image is equally divided, and in the gamma adjustment device, the larger the variance of the pixel value of the block is for each block, the smaller the selected gamma adjustment processing strength is;
wherein, in the clothing analysis device, the preset reference clothing image is an image obtained by shooting in advance a person wearing electric power unit clothing.
Next, the detailed structure of the field parameter extraction platform of the present invention will be further described.
In the field parameter extraction platform:
the linear interpolation device, the distortion processing device and the area comparison device are respectively realized by different CPLD chips designed by adopting VHDL language.
In the field parameter extraction platform:
the side of the telescopic holder is also embedded with a liquid crystal display panel which is connected with the shake analysis element and used for displaying a plurality of motion vectors of a plurality of shooting elements in real time and displaying the corresponding shake vectors of the telescopic holder in real time.
In the field parameter extraction platform:
the dynamic processing equipment comprises a data receiving sub-equipment, a horizontal direction evaluation sub-equipment, a vertical direction evaluation sub-equipment, a main diagonal direction evaluation sub-equipment, a sub diagonal direction evaluation sub-equipment and a data output sub-equipment.
In the field parameter extraction platform:
the main diagonal direction is a direction from the lower left corner of the preset sliding window to the upper right corner of the preset sliding window.
In the field parameter extraction platform:
the secondary diagonal direction is a direction from a lower right corner of the preset sliding window to an upper left corner of the preset sliding window.
The field parameter extraction platform can further comprise:
and the TF storage equipment is connected with the gamma adjusting equipment and is used for pre-storing the preset lower limit signal-to-noise ratio grade.
The field parameter extraction platform can further comprise:
and the signal-to-noise ratio improving device is connected with the gamma adjusting device and is used for performing signal-to-noise ratio improving operation on the processed image when the signal-to-noise ratio level of the processed image is less than the preset lower signal-to-noise ratio level before the gamma adjusting device performs gamma adjustment on the processed image, replacing the processed image with the processed image after the signal-to-noise ratio improving operation and inputting the replaced processed image into the gamma adjusting device, and not performing the signal-to-noise ratio improving operation on the processed image when the signal-to-noise ratio level of the processed image is greater than or equal to the preset lower signal-to-noise ratio level.
In the field parameter extraction platform:
the shake analysis component determines a corresponding shake vector of the telescopic tripod head based on a plurality of motion vectors of a plurality of shooting components.
The field parameter extraction platform can further comprise:
the telescopic cloud platform comprises a telescopic support, a trapezoidal mounting table and a direct current motor, wherein the telescopic support is located on the trapezoidal mounting table, the direct current motor is located in the trapezoidal mounting table, and the direct current motor is used for receiving a shaking vector and controlling the telescopic support to perform corresponding telescopic action based on the shaking vector.
In addition, VHDL is mainly used to describe the structure, behavior, function, and interface of a digital system. Except for the fact that it contains many statements with hardware features, the linguistic form, description style, and syntax of VHDL are very similar to a general computer high-level language. The structural features of the VHDL program are to divide an engineering design, or design entity (which may be a component, a circuit module or a system) into an external (or visible part, and port) and an internal (or invisible part), which relate to the internal functions and algorithm completion of the entity. After an external interface is defined for a design entity, once its internal development is complete, other designs can invoke the entity directly. This concept of dividing the design entity into inner and outer parts is the fundamental point of VHDL system design.
VHDL has powerful language structure, and can describe complex logic control by simple and clear source code. The method has a multi-level design description function, is refined layer by layer, and can directly generate circuit level description. VHDL supports the design of synchronous, asynchronous, and random circuits, which is incomparable with other hardware description languages. VHDL also supports various design methods, both bottom-up and top-down; the method supports both modular design and hierarchical design.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A field parameter extraction method, the method comprising extracting a parameter in-situ using a field parameter extraction platform, the field parameter extraction platform comprising:
the clothing analysis equipment is connected with the gamma adjustment equipment and used for carrying out matching analysis on the adjusted and combined image based on the preset reference clothing image and sending a site reliable signal when the matching degree is out of limit, otherwise, sending a site suspicious signal;
the circular fixing mechanism is arranged on the site of the watt-hour meter and comprises a circular plastic shell, an annular connecting belt, a shake analysis element and a plurality of shooting elements, wherein the circular plastic shell is fixedly connected to the telescopic bracket;
the plurality of shooting elements are used for respectively shooting surrounding scenes to respectively obtain a plurality of real-time scene image streams, the shake analysis element is respectively connected with the plurality of shooting elements, and the following processing is executed on each shooting element: judging and outputting the motion vector of a moving object in the real-time scene image stream based on the data analysis of front and back real-time scene images in the real-time scene image stream;
the combined processing image is connected with the plurality of shooting elements and is used for carrying out de-duplication combined processing on the plurality of real-time scene images respectively corresponding to the plurality of real-time scene image streams so as to obtain a de-duplicated combined image;
the opening operation processing device is connected with the combined processing image and used for receiving the de-recombined combined image and executing opening operation processing on the de-recombined combined image to obtain a corresponding opening operation processing image;
the correction processing device is connected with the opening operation processing device and used for receiving the opening operation processing image and executing distortion correction processing on the opening operation processing image so as to obtain and output a corresponding distortion correction image;
the FPM DRAM storage device is used for pre-storing a reference undistorted image, and the reciprocal of the distortion degree of each area in the reference undistorted image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the FPM DRAM storage device and is used for comparing the reciprocal of the distortion degree of the upper left corner area in the distortion correction image with the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image exceeds the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out, and when the reciprocal of the distortion degree of the upper left corner area in the distortion correction image does not exceed the reciprocal of the distortion degree of the upper left corner area of the reference undistorted image, a distortion degree mark combining signal is sent out;
the distortion processing equipment is connected with the area comparison equipment, and is used for executing image distortion correction operation on the distortion correction image again to obtain a distortion processing image when the distortion degree unqualified signal is received, and is also used for directly outputting the distortion correction image as the distortion processing image when the distortion degree reciprocal qualified signal is received;
the linear interpolation device is connected with the distortion processing device and used for receiving the distortion processing image, executing linear interpolation action on the distortion processing image to obtain an image subjected to the linear interpolation action and outputting the image as a linear interpolation image;
the pixel point analysis equipment is connected with the linear interpolation equipment and used for receiving the linear interpolation image, judging noise points of all pixel points in the linear interpolation image and determining that each pixel point is a noise point or a non-noise point, wherein the pixel point analysis equipment detects various noises in the linear interpolation image to obtain each noise area in the linear interpolation image, confirms the pixel points in a certain noise area as the noise points and confirms the pixel points out of the noise areas as the non-noise points;
the resolution measuring equipment is used for receiving the linear interpolation image, extracting the resolution of the linear interpolation image and mapping a preset sliding window with a corresponding size based on the resolution of the linear interpolation image, wherein the larger the resolution of the linear interpolation image is, the larger the radial length of the mapped preset sliding window is;
the dynamic processing device is connected with the resolution measuring device and used for acquiring the preset sliding window and performing dynamic filtering processing on each pixel point in the linear interpolation image, wherein the dynamic processing device performs dynamic filtering processing on each pixel point in the linear interpolation image and comprises: taking each pixel point in the linear interpolation image as an object pixel point, determining each pixel point in a preset sliding window taking the object pixel point as a centroid in the linear interpolation image as each pixel point to be evaluated, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the horizontal direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the vertical direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the main diagonal direction taking the object pixel point as a center in the preset sliding window, and calculating the mean square error of R channel values of each pixel point to be evaluated after the object pixel point is eliminated in the auxiliary diagonal direction taking the object pixel point as a center in the preset sliding window Obtaining the mean square error of R channel values of the pixels to be evaluated, obtaining the minimum value of the four mean square errors, taking the mean value of the R channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed R channel value of the target pixels, taking the mean value of the G channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed G channel value of the target pixels, and taking the mean value of the B channel values of the pixels to be evaluated after the target pixels are eliminated in the direction corresponding to the minimum value as the processed B channel value of the target pixels;
the signal integration equipment is connected with the dynamic processing equipment and is used for acquiring a processed image corresponding to the linear interpolation image based on the processed R channel value, the processed G channel value and the processed B channel value of each pixel point in the linear interpolation image;
the gamma adjusting device is connected with the signal integrating device and used for receiving the processed image, equally dividing the processed image into blocks with corresponding block sizes based on the distance between the signal-to-noise ratio grade of the processed image and a preset lower-limit signal-to-noise ratio grade, selecting corresponding gamma adjusting processing with different strengths for each block based on the pixel value variance of the block to obtain adjusting blocks, and combining the obtained adjusting blocks to obtain an adjusting and combining image; in the gamma adjustment device, the farther the snr level of the processed image is from a preset lower snr level, the larger the corresponding block into which the processed image is equally divided, and in the gamma adjustment device, the larger the variance of the pixel value of the block is for each block, the smaller the selected gamma adjustment processing strength is;
wherein, in the clothing analysis device, the preset reference clothing image is an image obtained by shooting in advance a person wearing electric power unit clothing.
2. The method of claim 1, wherein:
the linear interpolation device, the distortion processing device and the area comparison device are respectively realized by different CPLD chips designed by adopting VHDL language.
3. The method of claim 2, wherein the platform further comprises:
the telescopic cloud platform comprises a telescopic support, a trapezoidal mounting table and a direct current motor, wherein the telescopic support is located on the trapezoidal mounting table, the direct current motor is located in the trapezoidal mounting table, and the direct current motor is used for receiving a shaking vector and controlling the telescopic support to perform corresponding telescopic action based on the shaking vector.
4. The method of claim 3, wherein:
the side of the telescopic holder is also embedded with a liquid crystal display panel which is connected with the shake analysis element and used for displaying a plurality of motion vectors of a plurality of shooting elements in real time and displaying the corresponding shake vectors of the telescopic holder in real time.
5. The method of claim 4, wherein:
the dynamic processing equipment comprises a data receiving sub-equipment, a horizontal direction evaluation sub-equipment, a vertical direction evaluation sub-equipment, a main diagonal direction evaluation sub-equipment, a sub diagonal direction evaluation sub-equipment and a data output sub-equipment.
6. The method of claim 5, wherein:
the main diagonal direction is a direction from the lower left corner of the preset sliding window to the upper right corner of the preset sliding window.
7. The method of claim 6, wherein:
the secondary diagonal direction is a direction from a lower right corner of the preset sliding window to an upper left corner of the preset sliding window.
8. The method of claim 7, wherein the platform further comprises:
and the TF storage equipment is connected with the gamma adjusting equipment and is used for pre-storing the preset lower limit signal-to-noise ratio grade.
9. The method of claim 8, wherein the platform further comprises:
and the signal-to-noise ratio improving device is connected with the gamma adjusting device and is used for performing signal-to-noise ratio improving operation on the processed image when the signal-to-noise ratio level of the processed image is less than the preset lower signal-to-noise ratio level before the gamma adjusting device performs gamma adjustment on the processed image, replacing the processed image with the processed image after the signal-to-noise ratio improving operation and inputting the replaced processed image into the gamma adjusting device, and not performing the signal-to-noise ratio improving operation on the processed image when the signal-to-noise ratio level of the processed image is greater than or equal to the preset lower signal-to-noise ratio level.
10. The method of claim 9, wherein:
the shake analysis component determines a corresponding shake vector of the telescopic tripod head based on a plurality of motion vectors of a plurality of shooting components.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1678035A (en) * | 2004-03-29 | 2005-10-05 | 三洋电机株式会社 | Distortion correction device and image sensing device provided therewith |
| JP2008003055A (en) * | 2006-06-26 | 2008-01-10 | Mitsubishi Electric Corp | Watt-hour meter control device and watt-hour meter |
| CN107733804A (en) * | 2017-11-06 | 2018-02-23 | 戴惠英 | Multifunctional monitoring type wireless router |
| CN107750002A (en) * | 2017-09-14 | 2018-03-02 | 邓涛 | A kind of adaptive IP set top box display styles switching methods |
| CN108200265A (en) * | 2017-11-22 | 2018-06-22 | 秦广民 | Mobile phone control platform based on gesture recognition |
| CN109209157A (en) * | 2018-08-22 | 2019-01-15 | 徐妍 | A method of promoting the performance of flat-open type windowsill |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102193528B (en) * | 2010-03-05 | 2013-08-14 | 朗德华信（北京）自控技术有限公司 | Cloud computing based energy management control system and method |
-
2019
- 2019-01-17 CN CN201910042043.9A patent/CN111443325B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1678035A (en) * | 2004-03-29 | 2005-10-05 | 三洋电机株式会社 | Distortion correction device and image sensing device provided therewith |
| JP2008003055A (en) * | 2006-06-26 | 2008-01-10 | Mitsubishi Electric Corp | Watt-hour meter control device and watt-hour meter |
| CN107750002A (en) * | 2017-09-14 | 2018-03-02 | 邓涛 | A kind of adaptive IP set top box display styles switching methods |
| CN107733804A (en) * | 2017-11-06 | 2018-02-23 | 戴惠英 | Multifunctional monitoring type wireless router |
| CN108200265A (en) * | 2017-11-22 | 2018-06-22 | 秦广民 | Mobile phone control platform based on gesture recognition |
| CN109209157A (en) * | 2018-08-22 | 2019-01-15 | 徐妍 | A method of promoting the performance of flat-open type windowsill |
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