CN114623768A - Adaptive dimming method and system based on linear array CCD - Google Patents
Adaptive dimming method and system based on linear array CCD Download PDFInfo
- Publication number
- CN114623768A CN114623768A CN202210240102.5A CN202210240102A CN114623768A CN 114623768 A CN114623768 A CN 114623768A CN 202210240102 A CN202210240102 A CN 202210240102A CN 114623768 A CN114623768 A CN 114623768A
- Authority
- CN
- China
- Prior art keywords
- linear array
- array ccd
- microprocessor
- adaptive dimming
- digital potentiometer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000003044 adaptive effect Effects 0.000 title claims description 27
- 238000001914 filtration Methods 0.000 claims abstract description 16
- 230000015654 memory Effects 0.000 claims description 25
- 238000005286 illumination Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 4
- 239000000284 extract Substances 0.000 abstract description 3
- 238000006073 displacement reaction Methods 0.000 abstract description 2
- 238000012549 training Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 11
- 238000012545 processing Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 239000003990 capacitor Substances 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 235000012239 silicon dioxide Nutrition 0.000 description 2
- 239000000377 silicon dioxide Substances 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229910021420 polycrystalline silicon Inorganic materials 0.000 description 1
- 229920005591 polysilicon Polymers 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/03—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring coordinates of points
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
Abstract
The invention provides a self-adaptive dimming method and system based on a linear array CCD (charge coupled device), and relates to the field of displacement measurement and sensors. The self-adaptive dimming method based on the linear array CCD comprises the following steps: when parallel light irradiates the linear array CCD, the linear array CCD outputs original acquisition data to the microprocessor, namely each pixel point correspondingly outputs a voltage value; the microprocessor carries out algorithms such as classification, judgment, filtering and the like on the original values, and analyzes the characteristics of the pixels of the linear array CCD; the output value of the digital potentiometer is dynamically adjusted, and the automatic adjustment of the intensity of the parallel light source is realized. The method can extract the characteristic value of the pixel point of the linear array CCD and perform target positioning analysis, and automatically identify the light source intensity, thereby controlling the digital potentiometer and realizing the automatic adjustment technology of the parallel light source intensity. In addition, the invention also provides a self-adaptive dimming system based on the linear array CCD, which comprises: the device comprises a linear array CCD module, a microprocessor module and a digital potentiometer module.
Description
Technical Field
The invention relates to the field of displacement measurement and sensors, in particular to a linear array CCD-based adaptive dimming method and system.
Background
The plumb line coordinatograph and the tensiometer are widely applied to dam deformation monitoring by combining a plumb line and a tensiometer, and the plumb line coordinatograph and the tensiometer have various measuring principles, such as a stepping motor type, a photoelectric type and a capacitance type, and the photoelectric type plumb line coordinatograph and the tensiometer have the characteristics of strong anti-interference performance, high measuring precision and the like, and are widely applied.
The CCD was invented in 1970 by bell laboratories w.s.boyle and g.e.smith, and has been developed rapidly because of its functions of photoelectric conversion, information storage, time delay, and sequential transmission of electric signals, high integration level, and low power consumption. The CCD is an indispensable key device for image acquisition and digital processing, and is widely applied to the fields of science, education, medicine, commerce, industry, military and consumption.
The CCD image sensor is an array formed by MOS capacitors arranged according to a certain rule, a layer of very thin (about 120nm) silicon dioxide grows on a P-type or N-type silicon substrate, and metal or doped polysilicon electrodes (grids) are sequentially deposited on the silicon dioxide thin layer to form a regular MOS capacitor array so as to form a CCD chip.
At present, when an LED lamp is required to be used as a light source to carry out linear array CCD (charge coupled device) acquisition by a photoelectric type vertical line coordinatograph and a bracing wire instrument of most manufacturers, the illumination intensity of the LED lamp is generally manually adjusted by adopting a sliding resistor, and when the LED lamp is adjusted in a manual mode, the illumination intensity needs to be judged by naked eyes, the manual adjustment mode is complicated, the experience of debugging personnel is required to be relied on, and the linear array CCD acquisition value is checked manually in real time, so that the error range is large, and the measurement accuracy of the instrument is influenced.
Disclosure of Invention
The invention aims to provide an adaptive dimming method based on a linear array CCD, which can perform characteristic value extraction and target positioning analysis on pixel points of the linear array CCD and automatically identify the light source intensity, thereby controlling a digital potentiometer and realizing the automatic adjustment technology of the parallel light source intensity.
Another object of the present invention is to provide an adaptive dimming system based on a linear array CCD, which can operate an adaptive dimming method based on a linear array CCD.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an adaptive dimming method based on a linear array CCD, which includes that when parallel light irradiates the linear array CCD, the linear array CCD outputs original collected data to a microprocessor, that is, each pixel point correspondingly outputs a voltage value; the microprocessor carries out algorithms such as classification, judgment, filtering and the like on the original values, and analyzes the characteristics of the pixels of the linear array CCD; and the output value of the digital potentiometer is dynamically adjusted, so that the automatic adjustment of the intensity of the parallel light source is realized.
In some embodiments of the present invention, the microprocessor performs algorithms such as classification, judgment, and filtering on the original value, and analyzing the characteristics of the pixels of the linear array CCD includes: acquiring the original acquired data of the linear array CCD, and then classifying and counting all the data according to appointed gradients.
In some embodiments of the present invention, the above further includes: after the filtering algorithm is measured for multiple times, the random value is filtered, and then judgment is carried out according to a preset threshold value.
In some embodiments of the present invention, the above further includes: and judging whether the selected value is larger than a preset threshold value, if so, judging that the illumination intensity is overlarge, and if not, performing second judgment.
In some embodiments of the invention, the determining that the illumination intensity is too high if the determination result is yes includes: when the light intensity is over high, the output value of the digital potentiometer is increased.
In some embodiments of the present invention, the performing the second determination includes: and judging whether the boundary value meets the agreed requirement, if so, judging that the illumination intensity is appropriate, and downloading the output value of the digital potentiometer to a nonvolatile memory.
In some embodiments of the present invention, the above further includes: if the requirement is not met, the illumination intensity is judged to be too low, and the output value of the digital potentiometer is reduced.
In a second aspect, an embodiment of the present application provides an adaptive dimming system based on a linear array CCD, which includes a linear array CCD module, configured to output original acquisition data to a microprocessor when parallel light irradiates the linear array CCD, that is, each pixel point correspondingly outputs a voltage value;
the microprocessor module is used for carrying out algorithms such as classification, judgment, filtering and the like on the original value by the microprocessor and analyzing the characteristics of the pixels of the linear array CCD;
and the digital potentiometer module is used for dynamically adjusting the output value of the digital potentiometer and realizing the automatic adjustment of the intensity of the parallel light source.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the device comprises a linear array CCD module, a microprocessor module and a digital potentiometer module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a method such as any one of line CCD-based adaptive dimming methods.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
a feedback type self-adaptive light control system is formed by a digital potentiometer, a light source, a lens and a linear array CCD sensor, the light source generates parallel light after passing through the lens, a microprocessor extracts characteristic values and performs target positioning analysis on pixel points of the linear array CCD by using algorithms such as gradient classification, threshold judgment, median filtering and the like, and the intensity of the light source is automatically identified, so that the digital potentiometer is controlled, and the automatic adjustment technology of the intensity of the parallel light source is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram illustrating steps of an adaptive dimming method based on a linear array CCD according to an embodiment of the present invention;
FIG. 2 is a flowchart of a microprocessor adaptive dimming procedure according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a module of an adaptive dimming system based on a linear array CCD according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of adaptive dimming based on a linear array CCD according to an embodiment of the present invention;
an icon: 10-linear array CCD module; 20-a microprocessor module; 30-a digital potentiometer module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of an adaptive dimming method based on a linear array CCD according to an embodiment of the present invention, which is shown as follows:
step S100, when parallel light irradiates the linear array CCD, the linear array CCD outputs original acquisition data to a microprocessor, namely each pixel point correspondingly outputs a voltage value;
in some embodiments, the project adopts a linear array CCD with 2592 pixels, and when parallel light irradiates the linear array CCD, the linear array CCD outputs raw acquisition data to the microprocessor, that is, each pixel correspondingly outputs a voltage value.
In some embodiments, a linear array CCD camera is used for collecting a target image, and the image collection of the color linear array CCD is completed through the FPGA to obtain three R/G/B images of the linear array CCD.
Step S110, the microprocessor carries out algorithms such as classification, judgment, filtering and the like on the original value, and analyzes the characteristics of the pixel points of the linear array CCD;
in some embodiments, the processing flow of the microprocessor is as shown in fig. 2, which obtains the raw acquired data of the linear array CCD, and then classifies and counts all the data according to a predetermined gradient. And after the filtering algorithm is measured for multiple times, filtering the random value, and then judging according to a preset threshold value.
In some embodiments, classifying the data according to a contract gradient includes calculating, using a training sample assignment algorithm, a number of training samples that each class should assign when classifying; in each layer of classification network, generating a training sample data set by adopting a fixed training sample selection mode or a random training sample selection mode according to the number of the distributed training samples of each class, wherein the training sample set is used for training a classifier; selecting a support vector machine or a convolutional neural network to carry out primary classification on the images to obtain an initial classification result; extracting spatial feature information of the classification diagram by using an edge-preserving filter, and reclassifying the spatial feature information by using a trained classifier (support vector machine); and judging whether the stopping condition is met or not, if not, entering a lower-layer network for classification in a feedforward mode until an optimal classification result is finally obtained. The classification framework effectively excavates the spatial characteristic information of the hyperspectral image through a series of spatial filters and feed-forward operation, and improves the initial classification result. Meanwhile, the problem that the classification precision is low due to few hyperspectral image training samples is solved to a certain extent, and the method has important application value in the aspects of hyperspectral image ground surface fine classification and the like.
In some embodiments, it is determined whether the selected value is greater than a predetermined threshold, and if so, the illumination intensity is determined to be too high, and if so, the output value of the digital potentiometer is increased.
If the judgment result is negative, the second judgment is carried out, whether the boundary value meets the appointed requirement is judged, if the boundary value meets the appointed requirement, the illumination intensity is judged to be proper, and the output value of the digital potentiometer is downloaded to the nonvolatile memory.
If the requirement is not met, the illumination intensity is judged to be too low, and the output value of the digital potentiometer is reduced.
In some embodiments, the FPGA extracts the pixel characteristics and the statistical characteristics of pixels in the current line of a plurality of targets by utilizing the correlation of pixels between two adjacent scanning targets of the linear array CCD and the statistical characteristics of the target to be detected in the previous line, the FPGA carries out pixel level image aiming at the linear array CCD, designs a specific multi-target segmentation algorithm, carries out binary processing on the targets, and then carries out expansion algorithm processing to eliminate the internal cavities of the targets to obtain an expanded binary image;
detecting that no target passes through a lens in an initial state, and recording the position of a pixel point in a camera when a binary pixel point is detected; and continuing scanning, and recording the current position when no binary pixel point is detected again. After all the target position memories are cleared, sequentially storing the initial positions of the current line targets in the camera and the end positions of the current line targets in the camera, which are scanned for the first time, into the target position memories, wherein the target position memories are dual-port RAMs with the depth of M, and the initial positions of the current line targets in the camera and the end positions of the current line targets in the camera are stored into a horizontal-axis memory Xi; the vertical axis register is accumulated from 0; the scanning is continued until the current line is finished, and at this time, M effective values, t invalid values and M + t are contained in the target position memory.
And step S120, dynamically adjusting the output value of the digital potentiometer to realize automatic adjustment of the intensity of the parallel light source.
In some embodiments, the horizontal axis and vertical axis statistical method of the target, when scanning to the current target effective area, namely the starting position of the current line target in the camera and the ending position of the current line target in the camera, compares the starting position of the current line target in the camera and the ending position of the current line target in the camera with the starting position of the previous line target in the camera and the ending position of the previous line target in the camera, and stores the larger value to the corresponding target horizontal axis memory; and accumulating 1 corresponding to the value in the target longitudinal axis register to complete the longitudinal axis statistics.
All characteristic values are counted according to the scanning and algorithm processing results of the linear array camera, and all counting values can be guaranteed to be counted online in real time; and (4) continuously scanning, when no target point is scanned in the camera, performing zero clearing processing on a register and a memory used by algorithm processing, and waiting for a new target.
In some embodiments, the automatic regulating function accessible cell-phone APP of tensiometer and plumb line coordinator enables the operation, can carry out the self-adaptation light modulation to single axle of tensiometer and the X axle and the Y axle of plumb line coordinator and handle, need not artifical the participation, can set up the state that the luminous intensity is for being fit for the collection automatically, when improving instrument measurement accuracy, the instrument efficiency of leaving the factory also obviously promotes.
Example 2
Referring to fig. 3 and fig. 5, fig. 3 is a schematic diagram of an adaptive dimming system module based on a linear array CCD according to an embodiment of the present invention, and fig. 5 is a schematic diagram of an adaptive dimming system based on a linear array CCD according to an embodiment of the present invention, which is as follows:
the linear array CCD module 10 is used for outputting original acquisition data to the microprocessor when parallel light irradiates the linear array CCD, namely each pixel point correspondingly outputs a voltage value;
the microprocessor module 20 is used for carrying out algorithms such as classification, judgment, filtering and the like on the original values by the microprocessor and analyzing the characteristics of the pixels of the linear array CCD;
and the digital potentiometer module 30 is used for dynamically adjusting the output value of the digital potentiometer and realizing the automatic adjustment of the intensity of the parallel light source.
In some embodiments, the linear array CCD outputs the original acquisition data to the microprocessor, the microprocessor sends a control signal to the digital potentiometer, and the digital potentiometer controls the point light source of the LED lamp and the illumination intensity of the parallel light of the lens to realize automatic adjustment.
In some embodiments, aiming at the condition that the acquisition value of the linear array CCD is checked manually, the error range is large, and the measurement precision of the instrument is influenced, the acquisition value of the linear array CCD can be extracted by adopting a BP neural network algorithm, so that the error range is controlled through machine learning, and the measurement precision of the instrument is improved. Data preprocessing can be performed first, and before training, collected sample data needs to be normalized and discrete data type attributes need to be recoded. Dividing the corresponding voltage value in the sample by the maximum attribute value of the column to limit the input value to the interval [0,1], recoding the discrete data type attribute, wherein 0 is used for representing error, and 1 is used for representing accuracy, and the discrete data type attribute is used as the expected output.
Then designing a network topology structure, wherein the key of the network topology design is to determine the number of the neurons of the hidden layer and the initial value and deviation of each neuron; if the accuracy of the trained network is not acceptable, the topology design must be performed again or different initial weights and deviations must be used.
The weights and biases of the network are initialized. The initialization weight and the deviation of the network adopt a decimal between [ -1,1] generated by a random function to carry out the iteration of the training and scanning process. And training the weight and the deviation by adopting an example updating method and iterating the scanning process according to the learning rate and the specified termination condition until the error range is confirmed to be in a controllable range, meeting the termination condition and ending iteration.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules 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 application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including 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 application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the adaptive dimming method and system based on the linear array CCD provided by the embodiments of the present application form a feedback adaptive dimming control system by the digital potentiometer, the light source, the lens, and the linear array CCD sensor, the light source generates parallel light after passing through the lens, the microprocessor performs characteristic value extraction and target positioning analysis on the pixel points of the linear array CCD by using algorithms such as gradient classification, threshold determination, median filtering, and the like, and automatically identifies the light source intensity, thereby controlling the digital potentiometer and realizing the automatic adjustment technology of the light source intensity of the parallel light.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An adaptive dimming method based on a linear array CCD is characterized by comprising the following steps:
when parallel light irradiates the linear array CCD, the linear array CCD outputs original acquisition data to the microprocessor, namely each pixel point correspondingly outputs a voltage value;
the microprocessor carries out algorithms such as classification, judgment, filtering and the like on the original values, and analyzes the characteristics of the pixels of the linear array CCD;
and the output value of the digital potentiometer is dynamically adjusted, so that the automatic adjustment of the intensity of the parallel light source is realized.
2. The adaptive dimming method based on the linear array CCD as claimed in claim 1, wherein the microprocessor performs algorithms such as classification, judgment and filtering on the original values, and analyzing the characteristics of the pixels of the linear array CCD comprises:
acquiring the original acquired data of the linear array CCD, and then classifying and counting all the data according to appointed gradients.
3. The adaptive dimming method based on the linear array CCD as claimed in claim 2, further comprising:
and after the filtering algorithm is measured for multiple times, filtering the random value, and then judging according to a preset threshold value.
4. The adaptive dimming method based on the linear array CCD as claimed in claim 3, further comprising:
and judging whether the selected value is larger than a preset threshold value, if so, judging that the illumination intensity is overlarge, and if not, performing second judgment.
5. The adaptive dimming method based on the linear array CCD of claim 4, wherein if the judgment result is yes, the judgment that the illumination intensity is too large comprises:
when the light intensity is over high, the output value of the digital potentiometer is increased.
6. The adaptive dimming method based on the linear array CCD as claimed in claim 4, wherein the second judging comprises:
and judging whether the boundary value meets the agreed requirement, if so, judging that the illumination intensity is appropriate, and downloading the output value of the digital potentiometer to a nonvolatile memory.
7. The adaptive dimming method based on the linear array CCD as claimed in claim 6, further comprising:
if the requirement is not met, the illumination intensity is judged to be too low, and the output value of the digital potentiometer is reduced.
8. An adaptive dimming system based on a linear array CCD (charge coupled device), comprising:
the linear array CCD module is used for outputting original acquisition data to the microprocessor when parallel light irradiates the linear array CCD, namely each pixel point correspondingly outputs a voltage value;
the microprocessor module is used for carrying out algorithms such as classification, judgment, filtering and the like on the original value by the microprocessor and analyzing the characteristics of the pixels of the linear array CCD;
and the digital potentiometer module is used for dynamically adjusting the output value of the digital potentiometer and realizing the automatic adjustment of the intensity of the parallel light source.
9. The linear CCD based adaptive dimming system of claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the device comprises a linear array CCD module, a microprocessor module and a digital potentiometer module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210240102.5A CN114623768B (en) | 2022-03-10 | 2022-03-10 | Self-adaptive dimming method and system based on linear array CCD |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210240102.5A CN114623768B (en) | 2022-03-10 | 2022-03-10 | Self-adaptive dimming method and system based on linear array CCD |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114623768A true CN114623768A (en) | 2022-06-14 |
| CN114623768B CN114623768B (en) | 2024-03-19 |
Family
ID=81901673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210240102.5A Active CN114623768B (en) | 2022-03-10 | 2022-03-10 | Self-adaptive dimming method and system based on linear array CCD |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114623768B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090317018A1 (en) * | 2008-06-20 | 2009-12-24 | Hong Fu Jin Precision Industry (Shenzhen) Co., Ltd. | System and method for adjusting backlight in measurement of a profile image |
| CN101629803A (en) * | 2009-05-15 | 2010-01-20 | 广东外语外贸大学 | Automatic counting system and counting method of interference ring |
| US20100110503A1 (en) * | 2008-10-31 | 2010-05-06 | Hong Fu Jin Precision Industry (Shenzhen) Co.,Ltd. | System and method for adjusting light sources in measurement of a surface image |
| CN101827221A (en) * | 2010-03-23 | 2010-09-08 | 华南理工大学 | CCD (Charge Coupled Device) light source intensity self-adaption regulation system and method thereof |
| US20150330833A1 (en) * | 2013-03-14 | 2015-11-19 | Hefei Boe Optoelectronics Technology Co., Ltd. | Measuring and adjusting system and method on uniformity of light intensity of light source |
| CN206181466U (en) * | 2016-11-23 | 2017-05-17 | 浙江海洋大学 | High -speed photoelectricity door luminous intensity adaptive control circuit |
| CN212231785U (en) * | 2020-06-30 | 2020-12-25 | 北京博清科技有限公司 | Electronic equipment and adaptive dimming device thereof |
-
2022
- 2022-03-10 CN CN202210240102.5A patent/CN114623768B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090317018A1 (en) * | 2008-06-20 | 2009-12-24 | Hong Fu Jin Precision Industry (Shenzhen) Co., Ltd. | System and method for adjusting backlight in measurement of a profile image |
| US20100110503A1 (en) * | 2008-10-31 | 2010-05-06 | Hong Fu Jin Precision Industry (Shenzhen) Co.,Ltd. | System and method for adjusting light sources in measurement of a surface image |
| CN101629803A (en) * | 2009-05-15 | 2010-01-20 | 广东外语外贸大学 | Automatic counting system and counting method of interference ring |
| CN101827221A (en) * | 2010-03-23 | 2010-09-08 | 华南理工大学 | CCD (Charge Coupled Device) light source intensity self-adaption regulation system and method thereof |
| US20150330833A1 (en) * | 2013-03-14 | 2015-11-19 | Hefei Boe Optoelectronics Technology Co., Ltd. | Measuring and adjusting system and method on uniformity of light intensity of light source |
| CN206181466U (en) * | 2016-11-23 | 2017-05-17 | 浙江海洋大学 | High -speed photoelectricity door luminous intensity adaptive control circuit |
| CN212231785U (en) * | 2020-06-30 | 2020-12-25 | 北京博清科技有限公司 | Electronic equipment and adaptive dimming device thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114623768B (en) | 2024-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764372B (en) | Construction method and device, mobile terminal, the readable storage medium storing program for executing of data set | |
| Kumar et al. | Image based leaf segmentation and counting in rosette plants | |
| CN110210434A (en) | Pest and disease damage recognition methods and device | |
| CN108197546B (en) | Illumination processing method and device in face recognition, computer equipment and storage medium | |
| CN111046880A (en) | Infrared target image segmentation method and system, electronic device and storage medium | |
| JP2021528784A (en) | Sky filter method for panoramic images and mobile terminals | |
| CN104915972A (en) | Image processing apparatus, image processing method and program | |
| CN109684906B (en) | Method for detecting red fat bark beetles based on deep learning | |
| Hati et al. | Plant recognition from leaf image through artificial neural network | |
| CN109740721B (en) | Wheat ear counting method and device | |
| Dey et al. | Automatic detection of whitefly pest using statistical feature extraction and image classification methods | |
| CN113409362B (en) | High altitude parabolic detection method and device, equipment and computer storage medium | |
| Alsmadi et al. | Fish recognition based on the combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural Network and Decision Tree | |
| CN116071600B (en) | Crop remote sensing identification method and device based on multi-classification probability | |
| CN116740728B (en) | Dynamic acquisition method and system for wafer code reader | |
| KR100858681B1 (en) | Image filter combination generating method for fingerprint image generation | |
| CN115439456A (en) | Method and device for detecting and identifying object in pathological image | |
| Sankaran et al. | Plant disease detection and recognition using K means clustering | |
| CN113313692B (en) | Automatic banana young plant identification and counting method based on aerial visible light image | |
| CN110414544B (en) | Target state classification method, device and system | |
| Puno et al. | Vision system for soil nutrient detection using fuzzy logic | |
| CN113312999A (en) | High-precision detection method and device for diaphorina citri in natural orchard scene | |
| CN114623768A (en) | Adaptive dimming method and system based on linear array CCD | |
| Wakhare et al. | Development of automated leaf disease detection in pomegranate using alexnet algorithm | |
| Roshan et al. | Smart Harvest Diseases Identification using Image Processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |