CN112710242B - Extended level measurement system and method - Google Patents

Extended level measurement system and method Download PDF

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Publication number
CN112710242B
CN112710242B CN201911026465.3A CN201911026465A CN112710242B CN 112710242 B CN112710242 B CN 112710242B CN 201911026465 A CN201911026465 A CN 201911026465A CN 112710242 B CN112710242 B CN 112710242B
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image
gaussian low
equipment
directional blurring
roof
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CN112710242A (en
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郭秋玲
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Wuhan Rui Jin Railway Development Co ltd
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Wuhan Rui Jin Railway Development Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/06Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
    • G01B11/0608Height gauges

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  • General Physics & Mathematics (AREA)
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Abstract

The invention relates to an extended level measurement system, comprising: the portable level meter can be placed in the hand of a measuring person and used for sending a first trigger command when the portable level meter is placed horizontally; the LED display screen is embedded in the wood shell at the top of the portable level and used for receiving and displaying the text prompt information corresponding to the first trigger command or the second trigger command; and the pinhole camera is positioned on the left side of the LED display screen and used for executing camera shooting action on the upper scene of the portable level meter when receiving the first trigger command. The invention also relates to an extended horizontal measurement method. The extended horizontal measurement system and the extended horizontal measurement method are ingenious in design and reasonable in structure. As various electronic processing components are introduced to the existing level gauge to complete the acceptance of the height uniformity of the house, the auxiliary functions of the existing instrument are effectively expanded.

Description

Extended level measurement system and method
Technical Field
The invention relates to the field of instruments and meters, in particular to an extended horizontal measurement system and method.
Background
Instrumentation instruments are instruments or devices for detecting, measuring, observing, and calculating various physical quantities, material components, physical parameters, and the like. The vacuum leak detector, the pressure gauge, the length measuring instrument, the microscope, the multiplier and the like belong to instruments and meters.
In a broad sense, the instruments can also have functions of automatic control, alarm, signal transmission and data processing, such as pneumatic regulating instruments and electric regulating instruments used in automatic control of industrial production processes, and distributed instrument control systems.
The instrumentation can improve, extend or supplement human function. People use sense organs to see, listen, taste and touch external things, and instruments and meters such as a microscope, a telescope, a sound level meter, an acidimeter, a pyrometer, a vacuum centrifugal concentrator and the like can improve and expand the functions of people; in addition, some instruments such as magnetometers, ray counters, and the like can sense and measure physical quantities that cannot be sensed by human sense organs, and some instruments can exceed human capabilities to record, calculate, and count, such as high-speed cameras, computers, and the like.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides an extended horizontal measurement system and method, which creatively introduces a room height uniformity measurement platform taking a portable level meter as a measurement main body, and is convenient for room acceptance staff to operate and use; and the uniformity identification equipment realized by an ASIC chip is also adopted to identify the depth of field of the roof target in each roof pattern in the image, and the corresponding room height uniformity grade is determined based on the mean square error value of each depth of field corresponding to each roof pattern.
According to an aspect of the present invention, there is provided an extended leveling system, the system comprising:
the portable level meter can be placed in the hand of a measurer and used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
the LED display screen is embedded in the wood shell at the top of the portable level and used for receiving and displaying the text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded in the wood shell at the top of the portable level meter, positioned on the left side of the LED display screen and used for executing a camera shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
the Gaussian low-pass filtering device is used for executing Gaussian low-pass filtering processing on the image to be processed based on the maximum noise amplitude value in the received image to be processed to obtain a corresponding Gaussian low-pass filtering image, wherein the larger the maximum noise amplitude value is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
the frequency domain enhancing device is connected with the Gaussian low-pass filtering device and used for receiving the Gaussian low-pass filtering image, and performing image frequency domain enhancing processing on the Gaussian low-pass filtering image based on the definition of the Gaussian low-pass filtering image to obtain a frequency domain enhanced image, wherein the higher the definition of the Gaussian low-pass filtering image is, the smaller the amplitude of performing the image frequency domain enhancing processing on the Gaussian low-pass filtering image is;
the directional blurring device is connected with the frequency domain enhancement device and is used for performing directional blurring processing on a non-target region on the received frequency domain enhancement image to obtain a directional blurring image;
the content analysis equipment is connected with the directional blurring equipment and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
and the uniformity identification equipment is realized by adopting an ASIC chip, is connected with the content analysis equipment, and is used for identifying the depth of field of the roof target in each roof pattern in the directional blurring image and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern.
According to another aspect of the present invention, there is also provided an extended leveling method, the method including:
the portable level meter can be placed in the hand of a measurer, and is used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
an LED display screen is embedded in a wood shell at the top of the portable level and used for receiving and displaying text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded in a wood shell at the top of the portable level meter, is positioned on the left side of the LED display screen, and is used for executing a shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
using a Gaussian low-pass filtering device for performing Gaussian low-pass filtering processing on the image to be processed based on the maximum amplitude of the noise in the received image to be processed to obtain a corresponding Gaussian low-pass filtered image, wherein the larger the maximum amplitude of the noise is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
using a frequency domain enhancing device connected to the gaussian low-pass filtering device and configured to receive the gaussian low-pass filtered image, and performing image frequency domain enhancing processing on the gaussian low-pass filtered image based on the definition of the gaussian low-pass filtered image to obtain a frequency domain enhanced image, wherein the higher the definition of the gaussian low-pass filtered image is, the smaller the amplitude of performing the image frequency domain enhancing processing on the gaussian low-pass filtered image is;
using directional blurring equipment connected with the frequency domain enhancement equipment, and performing directional blurring processing on a non-target region on the received frequency domain enhanced image to obtain a directional blurring image;
using a content analysis device connected with the directional blurring device and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
and using uniformity identification equipment, adopting an ASIC chip to realize the uniformity identification, connecting with the content analysis equipment, and identifying the depth of field of the roof target in each roof pattern in the directional blurring image, and determining the corresponding uniform level of the room height based on the mean square error value of each depth of field corresponding to each roof pattern.
The extended horizontal measurement system and the extended horizontal measurement method are ingenious in design and reasonable in structure. As various electronic processing components are introduced to the existing level gauge to complete the acceptance of the height uniformity of the house, the auxiliary functions of the existing instrument are effectively expanded.
Therefore, the invention needs to have the following two important points:
(1) a room height uniformity measuring platform taking a portable level gauge as a measuring main body is creatively introduced, so that the operation and the use of room acceptance personnel are facilitated;
(2) and identifying the depth of field of the roof target in the image in each roof pattern by using uniformity identification equipment realized by an ASIC chip, and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern.
Detailed Description
Embodiments of the extended leveling system and method of the present invention will be described in detail below.
A level gauge is a common gauge for measuring small angles. In the mechanical industry and in instrument manufacturing, the device is used for measuring the inclination angle relative to the horizontal position, the flatness and the straightness of a guide rail of machine tool equipment, the horizontal position and the vertical position of equipment installation and the like. The appearance according to the spirit level can be divided into: frame gradienter and ruler gradienter; the fixing mode of the water level can be divided into: adjustable spirit levels and non-adjustable spirit levels.
The level gauge is mainly used for checking the straightness of guide rails of various machine tools and other types of equipment and for checking the horizontal position and the vertical position of equipment installation. It can also be used for small angle measurement and working face with V-shaped groove, and can also be used for measuring installation parallelism of cylindrical workpiece, and horizontal position and vertical position of installation. The level gauge is an indispensable precision measuring tool for measuring levelness and verticality in mechanical equipment installation.
The bubble level meter is a measuring instrument for checking the level of machine installation surface or flat plate and measuring the inclination direction and angle, and its appearance is made up by using high-grade steel material to make its frame seat, after the above-mentioned frame seat is made up by using high-grade steel material, its base seat must be flat, and the centre of the seat surface is equipped with a longitudinal round curved glass tube, and also has a transverse small horizontal glass tube attached to its left end, and the interior of the glass tube is filled with ether or alcohol, and a small bubble is remained, and it is always positioned at highest point in the glass tube. The glass cylinder is provided with scale divisions at both ends of the bubble. Generally, when a machine is installed in a factory, the sensitivity of a conventional bubble level gauge is in specifications of 0.01mm/m, 0.02mm/m, 0.04mm/m, 0.05mm/m, 0.1mm/m, 0.3mm/m, 0.4mm/m and the like, namely, the level gauge is placed on a straight gauge or a flat plate with the length of 1m, when one end point has a difference of the sensitivity indication size, for example, the sensitivity is 0.01mm/m, namely, the difference of the height of 0.01mm (corresponding to the difference of 2 seconds between two end points) is shown at two end points of the straight gauge or the flat plate, and when the height of h mm with the length of 1m, the bubble has a scale difference. The principle of the bubble level is to utilize the property that the bubble is inside the glass tube, and the bubble can always be kept at the highest position.
At present, the problem of checking and accepting houses is that the houses are too high or too low, but a more serious house height defect is that the heights of the houses in all places in the same room are not uniform, and actually, the house use is influenced more greatly by the non-uniformity of the heights of the houses. There is currently no reliable measurement mechanism for this defect.
In order to overcome the defects, the invention builds an extended horizontal measurement system and method, and can effectively solve the corresponding technical problem.
An extended leveling system is shown according to an embodiment of the present invention comprising:
the portable level meter can be placed in the hand of a measurer and used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
the LED display screen is embedded in the wood shell at the top of the portable level and used for receiving and displaying the text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded in the wood shell at the top of the portable level meter, positioned on the left side of the LED display screen and used for executing a camera shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
the Gaussian low-pass filtering device is used for executing Gaussian low-pass filtering processing on the image to be processed based on the maximum noise amplitude value in the received image to be processed to obtain a corresponding Gaussian low-pass filtering image, wherein the larger the maximum noise amplitude value is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
the frequency domain enhancing device is connected with the Gaussian low-pass filtering device and used for receiving the Gaussian low-pass filtering image, and performing image frequency domain enhancing processing on the Gaussian low-pass filtering image based on the definition of the Gaussian low-pass filtering image to obtain a frequency domain enhanced image, wherein the higher the definition of the Gaussian low-pass filtering image is, the smaller the amplitude of the image frequency domain enhancing processing on the Gaussian low-pass filtering image is;
the directional blurring device is connected with the frequency domain enhancement device and is used for performing directional blurring processing on a non-target region on the received frequency domain enhancement image to obtain a directional blurring image;
the content analysis equipment is connected with the directional blurring equipment and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
the uniformity identification device is realized by adopting an ASIC chip, is connected with the content analysis device and is used for identifying the depth of field of the roof target in each roof pattern in the directional blurring image and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern;
in the uniformity identification device, the larger the mean square error value of each depth of field corresponding to each roof pattern is, the lower the determined uniformity level of the corresponding roof height is.
Next, the detailed structure of the extended leveling system of the present invention will be further described.
In the extended leveling system:
and a microcontroller is arranged in the portable level meter and used for sending the first trigger command or the second trigger command.
The extended leveling system may further include:
the level identification device is connected with the directional blurring device and is used for receiving the directional blurring image and identifying the dynamic range of the directional blurring image to obtain the corresponding dynamic range width level, wherein the higher the dynamic range width level is, the wider the dynamic range of the corresponding directional blurring image is;
and the signal splitting equipment is connected with the grade discrimination equipment and is used for dividing the directional blurring image according to the dynamic range width grade to obtain a plurality of image fragments.
The extended leveling system may further include:
the optical fiber communication interface is connected with the grade discrimination equipment and used for receiving the dynamic range width grade and sending the dynamic range width grade through an optical fiber communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the directional blurring image is;
the Gaussian low-pass filtering equipment is connected with the signal splitting equipment and is used for receiving each image fragment of the directional blurring image and executing Gaussian low-pass filtering processing on each image fragment to obtain a corresponding filtering block;
and the data extraction equipment is used for receiving each filtering block and randomly selecting a preset number of filtering blocks to serve as a plurality of filtering blocks to be analyzed to be output.
The extended leveling system may further include:
the content detection equipment is connected with the data extraction equipment and is used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric values to be processed;
the signal processing device is connected with the content detection device and is used for carrying out chromaticity adjusting operation on the oriented blurred image based on the chromaticity value to be processed, and the larger the difference value of the chromaticity value to be processed from a preset chromaticity threshold value is, the larger the adjustment value of the chromaticity adjusting operation on the oriented blurred image is;
and the signal processing equipment also replaces the directional blurring image with the signal processing image obtained after the chromaticity adjusting operation and sends the directional blurring image to the content analyzing equipment.
An extended leveling method shown according to an embodiment of the present invention includes:
the portable level meter can be placed in the hand of a measurer, and is used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
an LED display screen is embedded in a wood shell at the top of the portable level and used for receiving and displaying text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded into a wood shell at the top of the portable level meter, is positioned on the left side of the LED display screen and is used for executing camera shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
using a Gaussian low-pass filtering device for performing Gaussian low-pass filtering processing on the image to be processed based on the maximum amplitude of the noise in the received image to be processed to obtain a corresponding Gaussian low-pass filtered image, wherein the larger the maximum amplitude of the noise is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
using a frequency domain enhancing device connected to the gaussian low-pass filtering device and configured to receive the gaussian low-pass filtered image, and performing image frequency domain enhancing processing on the gaussian low-pass filtered image based on the definition of the gaussian low-pass filtered image to obtain a frequency domain enhanced image, wherein the higher the definition of the gaussian low-pass filtered image is, the smaller the amplitude of performing the image frequency domain enhancing processing on the gaussian low-pass filtered image is;
using directional blurring equipment connected with the frequency domain enhancement equipment, and performing directional blurring processing on a non-target region on the received frequency domain enhanced image to obtain a directional blurring image;
using a content analysis device connected with the directional blurring device and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
using uniformity identification equipment, adopting an ASIC chip to realize the uniformity identification, connecting with the content analysis equipment, and identifying the depth of field of the roof target in each roof pattern in the directional blurring image, and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern;
in the uniformity identification device, the larger the mean square error value of each depth of field corresponding to each roof pattern is, the lower the determined uniformity level of the corresponding roof height is.
Next, the detailed steps of the extended leveling method of the present invention will be further described.
In the extended leveling method:
and a microcontroller is arranged in the portable level meter and used for sending the first trigger command or the second trigger command.
The extended leveling method may further include:
the usage level identification device is connected with the directional blurring device and used for receiving the directional blurring image and identifying the dynamic range of the directional blurring image to obtain a corresponding dynamic range width level, wherein the higher the dynamic range width level is, the wider the dynamic range of the corresponding directional blurring image is;
and using a signal splitting device connected with the level identification device and used for dividing the directional blurring image according to the dynamic range width level to obtain a plurality of image fragments.
The extended leveling method may further include:
using an optical fiber communication interface, connected to the level discrimination device, for receiving the dynamic range width level and transmitting the dynamic range width level over an optical fiber communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the directional blurring image is;
using Gaussian low-pass filtering equipment, connected to the signal splitting equipment, for receiving each image fragment of the directional blurring image, and performing Gaussian low-pass filtering processing on each image fragment to obtain a corresponding filtering block;
and using a data extraction device for receiving each filtering block, and randomly selecting a preset number of filtering blocks to be output as a plurality of filtering blocks to be analyzed.
The extended leveling method may further include:
the content detection device is connected with the data extraction device and used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric value to be processed;
the signal processing equipment is connected with the content detection equipment and is used for carrying out chroma adjustment operation on the oriented blurred image based on the to-be-processed chroma value, and the larger the difference value of the to-be-processed chroma value from a preset chroma threshold value is, the larger the adjustment value of the chroma adjustment operation on the oriented blurred image is;
and the signal processing equipment also replaces the directional blurring image with the signal processing image obtained after the chromaticity adjusting operation and sends the directional blurring image to the content analyzing equipment.
In addition, the optical fiber is a short term for optical fiber, and is a fiber made of glass or plastic, which can be used as a light transmission means. The principle of transmission is 'total reflection of light'. The fine optical fiber is enclosed in a plastic sheath so that it can be bent without breaking. Generally, a Light Emitting Diode (LED) or a laser beam is used as a transmitter at one end of the optical fiber to transmit an optical pulse to the optical fiber, and a photosensor is used as a receiver at the other end of the optical fiber to detect the pulse.
In the multimode optical fiber, the core diameter is 50 μm and 62.5 μm, which are approximately equivalent to the thickness of human hair. Whereas the diameter of the single-mode optical fiber core is 8 μm to 10 μm, 9/125 μm is generally used. The core is surrounded by a glass envelope, commonly referred to as a cladding, of lower refractive index than the core, which keeps the light rays within the core. Further on the outside is a thin plastic outer jacket, i.e. a coating, for protecting the cladding. The optical fibers are typically bundled and protected by an outer jacket. The core is usually a double-walled concentric cylinder of silica glass with a small cross-sectional area, which is brittle and easily broken, and therefore requires the addition of a protective layer.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. An extended leveling system, the system comprising:
the portable level meter can be placed in the hand of a measurer and used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
the LED display screen is embedded in the wood shell at the top of the portable level and used for receiving and displaying the text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded in the wood shell at the top of the portable level meter, positioned on the left side of the LED display screen and used for executing a camera shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
the Gaussian low-pass filtering device is used for executing Gaussian low-pass filtering processing on the image to be processed based on the maximum noise amplitude value in the received image to be processed to obtain a corresponding Gaussian low-pass filtering image, wherein the larger the maximum noise amplitude value is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
the frequency domain enhancing device is connected with the Gaussian low-pass filtering device and used for receiving the Gaussian low-pass filtering image, and performing image frequency domain enhancing processing on the Gaussian low-pass filtering image based on the definition of the Gaussian low-pass filtering image to obtain a frequency domain enhanced image, wherein the higher the definition of the Gaussian low-pass filtering image is, the smaller the amplitude of performing the image frequency domain enhancing processing on the Gaussian low-pass filtering image is;
the directional blurring device is connected with the frequency domain enhancement device and is used for performing directional blurring processing on a non-target region on the received frequency domain enhancement image to obtain a directional blurring image;
the content analysis equipment is connected with the directional blurring equipment and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
the uniformity identification equipment is realized by adopting an ASIC chip, is connected with the content analysis equipment, and is used for identifying the depth of field of the roof target in each roof pattern in the directional blurring image and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern;
in the uniformity identification device, the larger the mean square error value of each depth of field corresponding to each roof pattern is, the lower the determined uniformity level of the corresponding roof height is.
2. An extended leveling system as in claim 1 wherein:
and a microcontroller is arranged in the portable level meter and used for sending the first trigger command or the second trigger command.
3. An extended leveling system as in claim 2 further comprising:
the level identification device is connected with the directional blurring device and is used for receiving the directional blurring image and identifying the dynamic range of the directional blurring image to obtain the corresponding dynamic range width level, wherein the higher the dynamic range width level is, the wider the dynamic range of the corresponding directional blurring image is;
and the signal splitting equipment is connected with the grade discrimination equipment and is used for dividing the directional blurring image according to the dynamic range width grade to obtain a plurality of image fragments.
4. An extended leveling system as in claim 3 wherein the system further comprises:
the optical fiber communication interface is connected with the grade discrimination equipment and used for receiving the dynamic range width grade and sending the dynamic range width grade through an optical fiber communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the directional blurring image is;
the Gaussian low-pass filtering equipment is connected with the signal splitting equipment and is used for receiving each image fragment of the directional blurring image and executing Gaussian low-pass filtering processing on each image fragment to obtain a corresponding filtering block;
and the data extraction equipment is used for receiving each filtering block and randomly selecting a preset number of filtering blocks to serve as a plurality of filtering blocks to be analyzed to be output.
5. The extended leveling system of claim 4, further comprising:
the content detection device is connected with the data extraction device and is used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric value to be processed;
the signal processing device is connected with the content detection device and is used for carrying out chromaticity adjusting operation on the oriented blurred image based on the chromaticity value to be processed, and the larger the difference value of the chromaticity value to be processed from a preset chromaticity threshold value is, the larger the adjustment value of the chromaticity adjusting operation on the oriented blurred image is;
and the signal processing equipment also replaces the directional blurring image with the signal processing image obtained after the chromaticity adjusting operation and sends the directional blurring image to the content analyzing equipment.
6. An extended level measurement method, the method comprising:
the portable level meter can be placed in the hand of a measurer, and is used for sending a first trigger command when the level meter is placed on the hand and sending a second trigger command when the level meter is not placed on the hand;
an LED display screen is embedded in a wood shell at the top of the portable level and used for receiving and displaying text prompt information corresponding to the first trigger command or the second trigger command;
the pinhole camera is embedded in a wood shell at the top of the portable level meter, is positioned on the left side of the LED display screen, and is used for executing a shooting action on an upper scene of the portable level meter when receiving the first trigger command so as to obtain a corresponding upper scene image;
using a Gaussian low-pass filtering device for performing Gaussian low-pass filtering processing on the image to be processed based on the maximum amplitude of noise in the received image to be processed to obtain a corresponding Gaussian low-pass filtered image, wherein the larger the maximum amplitude of noise is, the larger the amplitude of the Gaussian low-pass filtering processing on the image to be processed is;
using a frequency domain enhancing device connected to the gaussian low-pass filtering device and configured to receive the gaussian low-pass filtered image, and performing image frequency domain enhancing processing on the gaussian low-pass filtered image based on the definition of the gaussian low-pass filtered image to obtain a frequency domain enhanced image, wherein the higher the definition of the gaussian low-pass filtered image is, the smaller the amplitude of performing the image frequency domain enhancing processing on the gaussian low-pass filtered image is;
using directional blurring equipment connected with the frequency domain enhancement equipment, and performing directional blurring processing on a non-target region on the received frequency domain enhanced image to obtain a directional blurring image;
using a content analysis device connected with the directional blurring device and used for analyzing a roof subimage from the directional blurring image based on the roof imaging characteristics and performing uniform segmentation on the roof subimage to obtain each roof pattern;
using uniformity identification equipment, adopting an ASIC chip to realize the uniformity identification, connecting with the content analysis equipment, and identifying the depth of field of the roof target in each roof pattern in the directional blurring image, and determining the corresponding room height uniformity grade based on the mean square error value of each depth of field corresponding to each roof pattern;
in the uniformity identification device, the larger the mean square error value of each depth of field corresponding to each roof pattern is, the lower the determined uniformity level of the corresponding roof height is.
7. An extended leveling method according to claim 6, wherein:
and a microcontroller is arranged in the portable level meter and used for sending the first trigger command or the second trigger command.
8. An extended leveling method according to claim 7, further comprising:
the usage level identification device is connected with the directional blurring device and used for receiving the directional blurring image and identifying the dynamic range of the directional blurring image to obtain a corresponding dynamic range width level, wherein the higher the dynamic range width level is, the wider the dynamic range of the corresponding directional blurring image is;
and using a signal splitting device connected with the level identification device and used for dividing the directional blurring image according to the dynamic range width level to obtain a plurality of image fragments.
9. An extended leveling method according to claim 8, further comprising:
using a fiber optic communication interface, connected to said class discrimination device, for receiving said dynamic range width class and transmitting said dynamic range width class over a fiber optic communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the directional blurring image is;
using Gaussian low-pass filtering equipment, connected to the signal splitting equipment, for receiving each image fragment of the directional blurring image, and performing Gaussian low-pass filtering processing on each image fragment to obtain a corresponding filtering block;
and using a data extraction device for receiving each filtering block, and randomly selecting a preset number of filtering blocks to be output as a plurality of filtering blocks to be analyzed.
10. An extended leveling method according to claim 9, further comprising:
the content detection device is connected with the data extraction device and used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric value to be processed;
the signal processing equipment is connected with the content detection equipment and is used for carrying out chromaticity adjusting operation on the oriented blurred image based on the chromaticity value to be processed, and the larger the difference value of the chromaticity value to be processed from a preset chromaticity threshold value is, the larger the adjustment value of the chromaticity adjusting operation on the oriented blurred image is;
and the signal processing equipment also replaces the directional blurring image with the signal processing image obtained after the chromaticity adjustment operation and sends the directional blurring image to the content analysis equipment.
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