CN110536073A - Automobile-used image-taking device and image acquisition method - Google Patents
Automobile-used image-taking device and image acquisition method Download PDFInfo
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- CN110536073A CN110536073A CN201810513070.5A CN201810513070A CN110536073A CN 110536073 A CN110536073 A CN 110536073A CN 201810513070 A CN201810513070 A CN 201810513070A CN 110536073 A CN110536073 A CN 110536073A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/144—Movement detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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Abstract
The present invention relates to a kind of automobile-used image-taking device and image acquisition methods, the automobile-used image-taking device includes image acquisition unit and processing unit, image acquisition unit is sequentially to capture several travelling images, wherein, each travelling image includes object image, processing unit is to carry out two image analysing computer in these travelling images to obtain the variable quantity of object image, and according to the shutter speed of variable quantity setting of image acquisition unit；This kind of image acquisition method includes sequentially to capture several travelling images using image acquisition unit, carry out two image analysing computer in these images to obtain the variable quantity of object image, and the shutter speed according to variable quantity setting of image acquisition unit, wherein, each travelling image includes object image.
Description
[technical field]
The present invention is image capture technology, especially a kind of automobile-used image-taking device and image acquisition method.
[background technique]
Image-taking device purposes due to recordable image is very extensive, and the entrance etc. that can be installed in building such as needs to supervise
Depending on place, with assist traced, deposit card etc. purposes.
General image-taking device is installed in a certain fixed point and according to fixed operational mode in the model of its capturing images more
Enclose interior carry out image capture.However, image-taking device captures when image-taking device is mounted on motive objects, such as car body
Image quality by the speed that will receive motive objects influence and deteriorate, and influence in turn it is subsequent to capture image progress
The accuracy of identification.
[summary of the invention]
In one embodiment, a kind of image acquisition method, it includes several rows are sequentially captured using image acquisition unit
Vehicle image, two image analysing computer carried out in these images are set to obtain the variable quantity of object image, and according to variable quantity
The shutter speed of image acquisition unit.Wherein, each travelling image includes object image.
In one embodiment, a kind of automobile-used image-taking device includes image acquisition unit and processing unit.Image acquisition unit
Sequentially to capture several travelling images.Wherein, each travelling image includes object image.Processing unit is to carry out these rows
Two image analysing computer in vehicle image, to obtain the variable quantity of object image, and processing unit can set shadow according to variable quantity
As the shutter speed of acquisition unit.
In conclusion the automobile-used image-taking device and image acquisition method of the embodiment of the present invention, by object image in row
Variable quantity in vehicle image sets shutter speed, to obtain relatively clear travelling image.In addition, can also pass through travelling image
Grayscale distributed number adjust light filling intensity or yield value, there is well-lit travelling image to obtain.In addition, can also lead to
The Luminance Distribution of the frequency spectrum or object image of crossing travelling image finely tunes shutter speed, light filling intensity or yield value, to obtain
Travelling image with preferable detail expressive ability.Furthermore since the feedback without waiting for background system can confirm driving shadow
The quality and correspondence of picture are finely adjusted, and then can obtain the travelling image of better quality more quickly.
Describe detailed features and advantage of the invention in detail in embodiments below, content is enough to make any to be familiar with phase
Close those skilled in the art understand technology contents of the invention and implement accordingly, and according to content disclosed by this specification, apply for a patent model
It encloses and schema, it is any to be familiar with relevant art and be readily understood upon the relevant purpose of the present invention and advantage.
[Detailed description of the invention]
Fig. 1 is the block diagram of an embodiment of vehicle image capture device.
Fig. 2 is the flow diagram of an embodiment of image acquisition method.
Fig. 3 is the flow diagram of an embodiment of step S30 in Fig. 2.
Fig. 4 is the flow diagram of an embodiment of step S34 in Fig. 3.
Fig. 5 is the histogram of an embodiment of travelling image.
Fig. 6 is the flow diagram of an embodiment of step S34C in Fig. 4.
Fig. 7 is the flow diagram of an embodiment of the image acquisition method after step S34.
Fig. 8 is the schematic diagram of an embodiment of travelling image.
Fig. 9 is the flow diagram of an embodiment of step S37 in Fig. 7.
Figure 10 is the flow diagram of an embodiment of the image acquisition method after step S34.
Figure 11 is the schematic diagram of object image and an embodiment of its Luminance Distribution.
Figure 12 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 13 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 14 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 15 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 16 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 17 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 18 is the schematic diagram of object image and an embodiment of its Luminance Distribution.
Figure 19 is the schematic diagram of object image and an embodiment of its Luminance Distribution.
[specific embodiment]
Fig. 1 is the block diagram of an embodiment of vehicle image capture device.Referring to Fig. 1, in general, automobile-used take
As device 100 is mounted on the vehicles, and to capture, record travelling image F1.In some state sample implementations, traffic work
Tool can be automobile, locomotive etc., but the present invention is not limited thereto, the vehicles of any automobile-used image-taking device 100 of suitable applications
It is all the range that the present invention is covered.
In one embodiment, automobile-used image-taking device 100 includes image acquisition unit 110 and processing unit 120, and is handled
Unit 120 is coupled to image acquisition unit 110.In addition, automobile-used image-taking device 100 also may include light filling unit 130, and light filling list
Member 130 is coupled to image acquisition unit 110 and processing unit 120.
Image acquisition unit 110 is to capture several travelling images F1.Also, these travelling images F1 can pick for image
Several frames (frame) for taking unit 110 to capture in one section of continuous time.Light filling unit 130 to export supplement light,
With the image capture of assisted image acquisition unit 110.
In some state sample implementations, image acquisition unit 110 may include one group of camera lens and photosensitive element, and photosensitive element is for example
For complementary metal oxide semiconductor (CMOS), photosensitive coupling element (CCD).In addition, light filling unit 130 can be for example to shine
Diode (LED), infrared LEDs (IR LED), halogen lamp, laser light source etc. realize, but the present invention not as
Limit.
Processing unit 120 can the image acquisition method of any embodiment according to the present invention control and adjust image acquisition unit
110 and/or light filling unit 130 actuation so that the travelling image F1 that image acquisition unit 110 captures can have preferably
Image quality.
In some state sample implementations, processing unit 120 may be, for example, SoC chip, central processing unit (CPU), microcontroller
(MCU) or Application Specific Integrated Circuit (ASIC) etc..
Fig. 2 is the flow diagram of an embodiment of image acquisition method.Fig. 1 to Fig. 2 is please referred to, in image acquisition method
An embodiment in, processing unit 120 can sequentially capture several travelling images F1 (step using image acquisition unit 110
S10).It may include object image M1 in each travelling image F1 in this.It connects, processing unit 120 can be in these travelling images F1
Two travelling image F1 carry out image analysing computer, to obtain a variable quantity of the object image M1 in this two travelling image F1
(step S20), and processing unit 120 can be according to the variable quantity obtained in step S20 come setting of image acquisition unit 110
Shutter speed (step S30).Later, processing unit 120 can return again to the adjustment programme for executing step S10 and opening next time.
In an embodiment of step S10, global shutter (Global Shutter) is can be used in image acquisition unit 110
Mode of operation captures each travelling image F1, but the present invention is not limited only to this, and rolling can also be used in image acquisition unit 110
The mode of operation of formula shutter (Rolling Shutter) captures each travelling image F1.
In this, image acquisition unit 110 can sequentially capture several rows in the initial state with preset shutter speed
Vehicle image F1.In some state sample implementations, this preset shutter speed can be between 1/1000 to 1/100000 second.
In an embodiment of step S20, processing unit 120 first can carry out image processing to each travelling image F1, with true
Whether recognize each travelling image F1 and cover has object image M1.
In an embodiment of step S20, processing unit 120, which can optionally go out two in these travelling images F1, which to be covered, has
The travelling image F1 of object image M1 carries out image analysing computer to obtain variable quantity.In a state sample implementation, processing unit 120 can
Selection covers the travelling image F1 for having object image M1 to first in these travelling images F1 and the last one is covered and has object
The travelling image F1 of part image M1 carries out image analysing computer.And in another state sample implementation, processing unit 120 can also directly select
Covering to two captured continuous in time has the travelling image F1 of object image M1 to carry out image analysing computer.In this, handle
Resulting variable quantity can be that position of the object image M1 in this two travelling image F1 is mobile after unit 120 carries out image analysing computer
Amount, furthermore, variable quantity is location variation.For example, object image M1 is in the X-axis in this two travelling image F1
Moving distance.But the present invention is not limited only to this, and the resulting variable quantity of processing unit 120 also may further be object image M1
Movement speed in this two travelling image F1.
In some state sample implementations, processing unit 120 can obtain the change of object image M1 in such a way that image subtracts each other
Change amount, but the present invention is not limited thereto, and processing unit 120 can obtain object with any suitable image analysing computer algorithm
The variable quantity of image M1.
Fig. 3 is the flow diagram of an embodiment of step S30 in Fig. 2, and in an embodiment of step S30, processing is single
The variable quantity of object image M1 and preset variation threshold values can be compared (step S31) by member 120.When judgement variable quantity is less than
Or when being equal to variation threshold values, processing unit 120 can preset shutter speed value from several according to the numerical values recited of variable quantity at this time
In select a default shutter speed value, and the shutter speed settings of image acquisition unit 110 are preset into shutter speed value thus
(step S32).And when determining that variable quantity is greater than variation threshold values, processing unit 120 then can be by the shutter of image acquisition unit 110
Speed is set as initial shutter speed value (step S33), and adjusts light filling list according to one of these travelling images F1
First 130 light filling intensity or the yield value (step S34) of image acquisition unit 110.
In some embodiments, automobile-used image-taking device 100 can include also storage element 140, and storage element 140 is coupled to
Processing unit 120.Storage element 140 can be used to store variation threshold values, several default shutter speed values, initial shutter speed value,
Light filling intensity and/or yield value etc..
An illustration in an embodiment of step S32, between the numerical values recited of variable quantity and several default shutter speed values
Relationship correspond to table can be as shown in following table one.In this, for convenience of description, the numerical value and its correspondence of four variable quantities are only listed generally
Default shutter speed value.Wherein, variable quantity is speed, and its unit is kilometer/hour (km/h).And default shutter speed value
Unit be the second, but the present invention is not limited thereto.
Table one presets shutter speed value and the relationship of variable quantity corresponds to table
| Serial number | A1 | A2 | A3 | A4 |
| Variable quantity | 20 | 40 | 80 | 160 |
| Default shutter speed value | 1/500 | 1/1000 | 1/2000 | 1/4000 |
Table one is please referred to, each variable quantity A1-A4 and its corresponding default shutter speed value are generally with one-to-one type
Formula forms this correspondence table, and is stored in storage element 140.Therefore, processing unit 120 can table look-up in step S32
Mode selects default shutter speed value.
For example, it is assumed that variation threshold values is 40 (km/h).If the resulting variable quantity of processing unit 120 is 20 (km/h)
And when being less than variation threshold values, resulting variable quantity can be corresponded to table with the relationship being stored in storage element 140 by processing unit 120
Each variable quantity A1-A4 be compared, therefore, after comparison of tabling look-up, processing unit 120 judges resulting variable quantity and change
When change amount A1 is suitable, it was 1/500 (second) that table can be corresponded to according to relationship and finds corresponding default shutter speed value, and was set with this
The shutter speed of image acquisition unit 110.And in another illustration, if the resulting variable quantity of processing unit 120 is 30 (km/
When h) being less than variation threshold values, processing unit 120 can be corresponding with the relationship being stored in storage element 140 by resulting variable quantity
Each variable quantity A1-A4 of table is compared, however, after comparison of tabling look-up, processing unit 120 judge resulting variable quantity and
When these variable quantities A1-A4 is neither suitable, processing unit 120 can then be greater than and closest to the variable quantity of resulting variable quantity
A2 carrys out the shutter speed of setting of image acquisition unit 110.
In an embodiment of step S33, initial shutter speed value can be 1/1000 second.
In an embodiment of step S34, travelling image F1 may include several pixels, and if each pixel can be according to dry ash
A gray scale levels in class show corresponding grayscale.In other words, travelling image F1 can the grayscale as shown by these pixels
Display complexion is determined with its position.
In some state sample implementations, travelling image F1 can be made of 1280*720 pixel, but the present invention is not with this
Be limited, travelling image F1 can also by 360*240 pixel, 1920*1080 pixel or other any meet display format standard
The pixel of quantity formed.
In some state sample implementations, the classification quantity of these gray scale levels can be 256 altogether, such as gray scale levels 0 to gray scale levels
255, and gray scale levels 0 represent minimum brightness, gray scale levels 255 represent maximum brightness, but the present invention is not limited thereto, these grayscale
Depending on the expressive ability that the classification number visible image acquisition unit 110 of grade can be provided.For example, image acquisition unit 110
It may include analog/digital conversion circuit, and when analog/digital conversion circuit is 10 bit, image acquisition unit 110 be can provide
The expressive ability of 1024 (i.e. 210) a gray scale levels, and so on.
Fig. 4 is the flow diagram of an embodiment of step S34 in Fig. 3, and Fig. 5 is the straight of an embodiment of travelling image
Fang Tu.Fig. 1 to Fig. 5 is please referred to, in an embodiment of step S34, processing unit 120 can go out drive a vehicle by image Integral Transformation
The histogram (histogram) of image F1, to obtain grayscale quantity of these pixels of travelling image F1 in several gray scale levels
It is distributed (step S34A).Processing unit 120 can be according to the grayscale distributed number of step S34A from the most high ash in these gray scale levels
Class starts that these pixels are sequentially numbered until number arrives preset numbers (step toward the direction of minimum gray scale grade
S34B).Later, processing unit 120 can adjust light filling unit according to number be the gray scale levels where the pixel of preset numbers
130 light filling intensity or the yield value (step S34C) of image acquisition unit 110, so that the maximum brightness of travelling image F1
It can tune to without overexposure or excessively dark in zone of reasonableness.
In an embodiment of step S34B, preset numbers can be object image M1 general shared in travelling image F1
Pixel quantity.In some state sample implementations, when object image M1 is the image of license plate, preset numbers can be between 1000 to 3000
Between or between 2000 to 3000, but the present invention is not limited only to this, the ruler of the visual various countries' license plate of the numerical value of preset numbers
Very little and license plate in image when can be correctly validated depending on the pixel quantity of required occupancy.
In general, object image M1 should be in the travelling image F1 captured under the light filling of light filling unit 130
The highest part of brightness.In other words, show the pixel of object image M1 should be distributed in grayscale distributed number at this time gray scale levels compared with
High part.Therefore, processing unit 120 can start to these pixels sequentially along the direction of highest gray scale levels toward minimum gray scale grade
It is numbered, why is the minimum gray scale levels where these pixels to judge to show object image M1 whereby.
For example, it is assumed that when to share 256 gray scale levels and preset numbers be 1000, processing unit 120 can be along grayscale
Grade is numbered the pixel for being distributed in gray scale levels 255 since gray scale levels 255 255 toward the direction of gray scale levels 0, connect to point
Cloth is numbered in the pixel of gray scale levels 254, and the pixel for being distributed in gray scale levels 253 is numbered, and so on until number
When to 1000, processing unit 120 just stops number.In this, the number actuation, which can also add up, acts displacement.In other words,
Processing unit 120 can also along gray scale levels 255 toward the direction of gray scale levels 0, sequentially will be distributed over gray scale levels 255, gray scale levels 254,
It is cumulative that the pixel that gray scale levels 253 ... wait carries out quantity, until being added to preset numbers 1000.
Fig. 6 is the flow diagram of an embodiment of step S34C in Fig. 4.Fig. 1 to Fig. 6 is please referred to, step S34C's
In one embodiment, these gray scale levels can be distinguished into multiple grayscale sections, and processing unit 120 can be preset numbers according to number
The place gray scale levels of pixel be to fall in which grayscale section to be adjusted correspondingly movement.
Hereinafter, being illustrated by taking 256 gray scale levels as an example.In this, from highest gray scale levels 255 toward minimum gray scale grade 0
Direction, these gray scale levels sequentially constitute the first grayscale section, the second grayscale section, third grayscale section and the 4th grayscale area
Section.Wherein, gray scale levels 255 to gray scale levels 200 are the first grayscale section, and gray scale levels 199 to gray scale levels 150 are the second grayscale area
Section, gray scale levels 149 to gray scale levels 100 are third grayscale section, and gray scale levels 99 to gray scale levels 0 are the 4th grayscale section.Also,
These grayscale sections and a relationship table illustrated of adjustment movement are as shown in following table two.
Two grayscale section of table and the relationship table of adjustment movement
When gray scale levels where number is the pixel of preset numbers are to fall in the first grayscale section, object shadow at this time is indicated
As overexposure state may be presented in M1, therefore, processing unit 120 can be picked by the light filling intensity or image for reducing light filling unit 130
The yield value (step S34C1) of unit 110 is taken to improve such situation.
When gray scale levels where number is the pixel of preset numbers are to fall in the second grayscale section, object shadow at this time is indicated
As the brightness of M1 is appropriate, therefore, processing unit 120 is by the uncomfortable light filling intensity for reorganizing and bringing up light unit 130 to full strength or image acquisition unit 110
Yield value (step S34C2).
When gray scale levels where number is the pixel of preset numbers are to fall in third grayscale section, object shadow at this time is indicated
As the brightness of M1 may be excessively dark, therefore, processing unit 120 can pass through the light filling intensity or image capture for promoting light filling unit 130
The yield value (step S34C3) of unit 110 improves such situation.
And when number be gray scale levels where the pixel of preset numbers is to fall in the 4th grayscale section, indicate object at this time
Image M1 may be not present in travelling image F1, and therefore, processing unit 120 also selects to execute step at this time without adjustment
S34C2。
Fig. 7 is the flow diagram of an embodiment of the image acquisition method after step S34, and Fig. 8 is travelling image
The schematic diagram of one embodiment.Fig. 1 to Fig. 8 is please referred to, in an embodiment of image acquisition method, after step S34, processing
Unit 120 can also carry out frequency domain conversion to a travelling image F1 in multiple travelling image F1, to convert out this travelling image
The frequency spectrum (step S35) of F1.Later, processing unit 120 also detects a frequency domain position (step S36) in frequency spectrum, and according to
Whether occur signal on this frequency domain position and come the yield value of fine tuning video acquisition unit 110 or the light filling intensity of light filling unit 130,
And the shutter speed (step S37) of fine tuning video acquisition unit 110, also to optimize automobile-used capture dress by these trimming movements
Set 100 image qualities captured.
In an embodiment of step S35, frequency domain conversion can be by Fourier transform (Fourier Transform) come real
It is existing.
In an embodiment of step S36, object image M1 may include multiple character image W1.Processing unit 120 can be set
One is set by the straight line L1 of travelling image F1, with according to this straight line L1 in the pixel quantity and word that pass through on travelling image F1
Element image W1 with straight line L1 it is equidirectional on pixel quantity obtain frequency domain position.In some state sample implementations, this frequency domain position
A high frequency position being set in frequency spectrum.
Hereinafter, being illustrated so that image format is the travelling image F1 of 1280*720 as an example.When the shadow of travelling image F1
When picture format is 1280*720, travelling image F1 is indicated in there are 1280 pixels in horizontal axis (i.e. X-axis), in the longitudinal axis (i.e. Y-axis)
There are 720 pixels, and travelling image F1 is made of 1280*720 pixel.When processing unit 120 is along travelling image
When straight line L1 is arranged in the horizontal axis of F1, this straight line L1 should be 1280 in the pixel quantity passed through on travelling image F1.In addition, character
Image W1 is that character image W1 can be identified required pixel quantity, such as 3~10 thus in the pixel quantity on this straight line L1
It is a.In this, by taking 3 pixels as an example.Therefore, it is (3/1280) that processing unit 120 can obtain the frequency domain position to be detected accordingly.
But the present invention is not limited only to this, straight line L1 can also along the longitudinal axis of travelling image F1 or along person other suitable directions settings and
By in travelling image F1.
Fig. 9 is the flow diagram of an embodiment of step S37 in Fig. 7.Fig. 1 to Fig. 9 is please referred to, the one of step S37
In embodiment, when processing unit 120, which detects signal in step S36, comes across frequency domain position, processing unit 120 can be because
This determines that this travelling image F1 should have enough clarity without the yield value to image acquisition unit 110, shutter speed
And the light filling intensity of light filling unit 130 is adjusted (step S37A).And work as processing unit 120 in step S36 without detecting
When coming across frequency domain position to signal, processing unit 120 can be therefore, it is determined that this travelling image F1 have enough clarity, example
As fuzzy, and promote the shutter speed of image acquisition unit 110 and select fine tuning reduce image acquisition unit 110 yield value and
One of the light filling intensity of light filling unit 130 (step S37B), to allow image acquisition unit 110 to be captured after fine tuning whereby
To travelling image F1 can possess enough brightness and clarity.
In some embodiments, processing unit 120 can be repeated by step S35 to the execution repeatedly of step S37
Fine tuning, until processing unit 120 determines to travelling image F1 there is enough high spectrum response (high spectrum
Just stop executing the trimming movement of step S35 to step S37 when response).
Synthesis is aforementioned, and in the execution of step S35 to step S37, processing unit 120 confirms driving by frequency domain conversion
Whether image F1 lacks high-frequency signal to confirm the quality of travelling image F1, rapid feedback and fine tuning can be performed in accordance with, into
And it is able to obtain the travelling image F1 with better quality more quickly.
Figure 10 is the flow diagram of an embodiment of the image acquisition method after step S34, and Figure 11 is object image
With the schematic diagram of an embodiment of its Luminance Distribution.Figure 10 and Figure 11 are please referred to, in an embodiment of image acquisition method
In, after step S34, processing unit 120 can also take out its object image M1 (step from one of multiple travelling image F1
S38), with convert out across object image M1 straight line L2 on these pixels Luminance Distribution (step S39).Later, locate
Managing unit 120 can be according to the waveform of Luminance Distribution come the yield value of fine tuning video acquisition unit 110, the benefit of light filling unit 130
The shutter speed (step S40) of luminous intensity or image acquisition unit 110, also to optimize automobile-used capture by these trimming movements
The image quality that device 100 captures.
In some embodiments, processing unit 120 can be repeated by step S38 to the execution repeatedly of step S40
Fine tuning, until just stopping executing step S38 when processing unit 120 determines to arrive travelling image F1 with enough image qualities to step
The trimming movement of rapid S40.
In an embodiment of step S38, processing unit 120 can be by image processing technique, such as Image Segmentation, will
Object image M1 takes out from travelling image F1.
In an embodiment of step S39, processing unit 120 settable one pass through the straight line L2 of object image M1, with
According on this straight line L2 by each pixel and its position convert out brightness to the Luminance Distribution of position.In some implementation states
In sample, processing unit 120 is straight line L2 to be arranged along the horizontal axis of object image M1, but the present invention is not limited only to this, straight line
L2 can also be arranged along the longitudinal axis of object image M1 or other suitable directions and pass through object image M1.In addition, object image
M1 may include multiple character image W1, and straight line L2 can pass through these character images W1.
Figure 12 is the flow diagram of an embodiment of step S40 in Figure 10.Figure 10 to Figure 12 is please referred to, in step S40
An embodiment in, processing unit 120 can be according to the peak to peak value Vpp of the waveform in the Luminance Distribution that step S39 is converted out
The size of (peak-to-peak value) is finely tuned accordingly.Wherein, the peak to peak value Vpp refers to Luminance Distribution
Difference between the wave crest Vc and trough Vt of middle waveform.Therefore, processing unit 120 can be by the peak to peak value Vpp of waveform and default
Difference is compared (step S41).When peak to peak value Vpp is greater than or equal to preset difference value, processing unit 120 can determine that object
The contrast of image M1 should be it is enough, without adjust image acquisition unit 110 yield value, the light filling of light filling unit 130 it is strong
The shutter speed (step S42) of degree and image acquisition unit 110.And when peak to peak value Vpp is less than preset difference value, processing unit
120 is insufficient by the contrast for determining object image M1, and light filling unit 130 is caused to promote its light filling intensity or cause image capture
Unit 110 promotes its yield value (step S43), with the object image allowed in the travelling image F1 captured after fine tuning whereby
The contrast of M1, which can get, to be promoted.
In some state sample implementations, the brightness in Luminance Distribution can be using gray scale levels as its unit.In addition, preset difference value can
Between 90 gray scale levels between 110 gray scale levels.For example, preset difference value can be 100 gray scale levels, but the present invention is not
As limit.
Figure 13 is the flow diagram of an embodiment of step S40 in Figure 10.Figure 13 is please referred to, one in step S40 is real
It applies in example, except according in addition to peak to peak value Vpp, processing unit 120 can be also finely adjusted according to the size of crest value.Implement one
In aspect, processing unit 120 can in step S41 execution and determine peak to peak value Vpp be greater than or equal to preset difference value after, first will
The crest value and pre-set peak value of waveform are compared (step S44).When the comparison result of step S44 is greater than or equal to for crest value
When pre-set peak value, indicate object image M1 brightness will not be excessively dark, processing unit 120 just connect execution step S42, with without
Adjustment.Conversely, indicating that the brightness of object image M1 may when the comparison result of step S44 is that crest value is less than pre-set peak value
It crosses secretly, step S43 can be performed to promote the brightness of object image M1 in processing unit 120, but the present invention is not limited only to this.Figure 14
For the flow diagram of an embodiment of step S40 in Figure 10.Figure 14 is please referred to, in another state sample implementation, processing unit 120
Step S44 can also be first carried out before step S41 execution.Later, it is greater than or equal in the comparison result of step S44 for crest value
When pre-set peak value, processing unit 120 connects the comparison for executing the peak to peak value of step S41 again, and according to the comparison knot of step S41
Fruit selection, which connects, executes step S42 or step S43.It also, is that crest value is less than pre-set peak value in the comparison result of step S44
When, processing unit 120 then may be selected to execute step S43.
Figure 15 is the flow diagram of an embodiment of step S40 in Figure 10.Figure 15 is please referred to, one in step S40 is real
It applies in example, except according in addition to peak to peak value, processing unit 120 can also be finely adjusted according to the size of valley value.Implement state one
In sample, processing unit 120 can in step S41 execution and determine peak to peak value be greater than or equal to preset difference value after, first by waveform
Valley value and default valley be compared (step S45).When the comparison result of step S45 is valley value less than or equal to default
When valley, indicate that the brightness of object image M1 will not be excessively bright, processing unit 120, which just connects, executes step S42, without adjusting
It is whole.Conversely, indicating that the brightness of object image M1 may mistake when the comparison result of step S45 is that valley value is greater than default valley
Bright, processing unit 120 can cause light filling unit 130 to reduce its light filling intensity or image acquisition unit 110 is caused to reduce its increasing
Benefit value (step S46), but the present invention is not limited only to this.Figure 16 is the flow diagram of an embodiment of step S40 in Figure 10.
Figure 16 is please referred to, in another state sample implementation, processing unit 120 can also first carry out step S45 before step S41 execution.It
Afterwards, when the comparison result of step S45 is that valley value is less than or equal to default valley, processing unit 120 connects execution step again
The comparison of the peak to peak value of S41, and select to connect according to the comparison result of step S41 and execute step S42 or step S43.Work as step
When the comparison result of rapid S45 is that valley value is greater than default valley, processing unit 120 then may be selected to execute step S46.
In some state sample implementations, pre-set peak value can be between gray scale levels 120 between gray scale levels 140.In addition, default valley
It can also be between gray scale levels 120 between gray scale levels 140.In some state sample implementations, pre-set peak value can be equal to default valley.Example
Such as, pre-set peak value, default valley can be gray scale levels 130, but the present invention is not limited thereto.
Figure 17 is the flow diagram of an embodiment of step S40 in Figure 10, and Figure 18 is object image and its Luminance Distribution
An embodiment schematic diagram, and Figure 19 is the schematic diagram of an embodiment of object image and its Luminance Distribution.Please
0, Figure 17 to Figure 19 refering to fig. 1, in an embodiment of step S40, processing unit 120 can also be converted out according in step S39
Luminance Distribution in the numerical value of greyscale pixel quantity of each tangent line Lt of waveform finely tuned accordingly.Wherein, tangent line Lt
Transition slope when greyscale pixel quantity refers to from wave crest Vc transition to trough Vt or when from trough Vt transition to wave crest Vc
Transition slope.In some state sample implementations, the brightness in Luminance Distribution can be using gray scale levels as its unit.Also, the ash of tangent line
The unit of rank pixel quantity at this time may be used are as follows: gray scale levels/number of pixels.
The greyscale pixel quantity of each tangent line and preset gray scale pixel quantity can be compared (step by processing unit 120
S47).When the greyscale pixel quantity of each tangent line falls within preset gray scale pixel quantity, indicate that the sharpness of object image M1 should be
It is enough, and processing unit 120 does not adjust the yield value of image acquisition unit 110, the light filling intensity of light filling unit 130 and image
The shutter speed (step S48) of acquisition unit 110.And when the greyscale pixel quantity of any one tangent line exceeds preset gray scale pixel
When quantity, indicate that the sharpness of object image M1 fears deficiency, it is fast that processing unit 120 can cause image acquisition unit 110 to promote it
Door speed (step S49), can with the sharpness of the object image M1 allowed in the travelling image F1 captured after fine tuning whereby
It is promoted.
In some state sample implementations, preset gray scale pixel quantity can be one section of section numerical value.Such as 0 to 2 (gray scale levels/as
Plain number), but the present invention is not limited thereto.
Synthesis is aforementioned, and in the execution of step S38 to step S40, processing unit 120 passes through the object in travelling image F1
The waveform of the Luminance Distribution of image M1 confirms its quality, with rapid feedback and is performed in accordance with fine tuning, and then can be more quickly
Obtain the travelling image F1 with better quality.
In some embodiments, in the execution of the step S10 of image acquisition method to step S33, processing unit 120 can
Current more appropriate shutter speed is found out so that the travelling image F1 that image acquisition unit 110 captures can not be obscured.
It connects, in the execution of the step S34 of image acquisition method, it is strong that processing unit 120 can also find out current more appropriate light filling
Degree or yield value are so that the travelling image F1 that image acquisition unit 110 captures can have appropriate brightness.Finally, based on upper
The resulting more appropriate shutter speed in side and light filling intensity or yield value, processing unit 120 can also pass through image acquisition method
Step S35 to step S37 or step S38 to step S40 subtle adjustment movement come strengthen travelling image F1 details performance
Ability.
Therefore, in some state sample implementations, the shutter speed of image acquisition unit 110, yield value and light filling unit 130
The product value of light filling intensity is equal before and after the execution of the trimming movement of step S37 (or step S40).For example, when
When processing unit 120 causes shutter speed to become original 1/2, processing unit 120 will cause yield value or light filling intensity
Become original 2 times, so that the product value of shutter speed, yield value and light filling intensity can be presented substantially in the front and back of fine tuning
The product value of equal namely shutter speed, yield value and light filling intensity will not flood tide variation in the front and back of fine tuning.
In some embodiments, automobile-used image-taking device 100 can be applied to the detecing in anti-system of the police.For example, automobile-used
Image-taking device 100 may be provided on police car.Automobile-used image-taking device 100 can be electrically connected to the built-in system of police car, and internal system
The travelling image F1 captured can be uploaded to background system by system, to transfer to background system to post-process travelling image F1
(post-processing), image identification etc., and then be able to assist police's fast recording, identification license plate, vehicle money etc..Driving shadow
As the object image M1 in F1 can be the image of license plate or image of car body etc..In addition, character image W1 can be digital, character
Deng image.
In conclusion the automobile-used image-taking device and image acquisition method of the embodiment of the present invention, by object image in row
Variable quantity in vehicle image sets shutter speed, to obtain relatively clear travelling image.In addition, can also pass through travelling image
Grayscale distributed number adjust light filling intensity or yield value, there is well-lit travelling image to obtain.In addition, can also lead to
The Luminance Distribution of the frequency spectrum or object image of crossing travelling image finely tunes shutter speed, light filling intensity or yield value, to obtain
Travelling image with preferable detail expressive ability.Furthermore since the feedback without waiting for background system can confirm driving shadow
The quality and correspondence of picture are finely adjusted, and then can obtain the travelling image of better quality more quickly.
Although technology contents of the invention have been disclosed above in the preferred embodiment, however, it is not to limit the invention,
It is any to be familiar with this those skilled in the art, do not depart from spirit of the invention make it is a little change and retouch, should all be covered by of the invention
In scope, therefore protection scope of the present invention should be defined by the scope of the appended claims.
Claims (26)
1. a kind of image acquisition method, characterized by comprising:
Several travelling images are sequentially captured using an image acquisition unit, wherein respectively the travelling image includes an object image；
Two image analysing computer in these travelling images is carried out to obtain a variable quantity of the object image；And
A shutter speed of the image acquisition unit is set according to the variable quantity.
2. image acquisition method as described in claim 1, which is characterized in that set the image acquisition unit according to the variable quantity
The shutter speed the step of include:
It, will be in several default shutter speed values according to the size of the variable quantity when the variable quantity is less than or equal to a variation threshold values
One of be set as the shutter speed；And
When the variable quantity is greater than the variation threshold values, an initial shutter speed value is set as the shutter speed and according to these
One of travelling image adjusts a light filling intensity of a light filling unit or a yield value of the image acquisition unit.
3. image acquisition method as claimed in claim 2, which is characterized in that respectively the travelling image includes several pixels, and root
The step of the light filling intensity of the light filling unit or the yield value of the image acquisition unit is adjusted according to one in these travelling images
Include in rapid:
Obtain a grayscale distributed number of these pixels of the travelling image in several gray scale levels；
According to the grayscale distributed number from the highest gray scale levels in these gray scale levels toward the direction of minimum gray scale grade to these pixels
It is sequentially numbered until numbering to a preset numbers；And
It is that the gray scale levels where the pixel of the preset numbers adjust the light filling intensity or the yield value according to number.
4. image acquisition method as claimed in claim 3, which is characterized in that these gray scale levels from the highest gray scale levels toward this most
The direction of low ash class sequentially forms one first grayscale section, one second grayscale section, a third grayscale section and one the 4th ash
Rank section, and be that the gray scale levels where the pixel of the preset numbers adjust the light filling intensity or the yield value according to number
Step includes:
When the gray scale levels at place are to reduce the light filling intensity or the yield value in the first grayscale section；
When the gray scale levels at place are not adjust the light filling intensity in the second grayscale section or the 4th grayscale section or be somebody's turn to do
Yield value；And
When the gray scale levels at place are to promote the light filling intensity or the yield value in the third grayscale section.
5. image acquisition method as claimed in claim 2, which is characterized in that adjust the benefit according to one in these travelling images
Also include after the step of luminous intensity or the yield value:
Convert out a frequency spectrum of one of these travelling images；
Detect the frequency domain position in the frequency spectrum；And
The yield value or the light filling intensity and the shutter speed are finely tuned according to whether occurring signal on the frequency domain position.
6. image acquisition method as claimed in claim 5, which is characterized in that finely tune the yield value or the light filling intensity and be somebody's turn to do
The step of shutter speed, includes:
When there is signal on the frequency domain position, the yield value or the light filling intensity and the shutter speed are not adjusted；And
When there is not signal on the frequency domain position, promotes the shutter speed and reduce the light filling intensity or the yield value.
7. image acquisition method as claimed in claim 5, which is characterized in that the frequency domain position is according to by the travelling image
Pixel quantity and a character image on one straight line with the straight line it is equidirectional on pixel quantity.
8. image acquisition method as claimed in claim 2, which is characterized in that be somebody's turn to do according to the adjustment in these travelling images
Also include after the step of light filling intensity or the yield value:
The object image is taken out from one of these travelling images；
Convert out the Luminance Distribution of these pixels on the straight line for passing through the object image；And
The yield value, the light filling intensity or the shutter speed are finely tuned according to the waveform of the Luminance Distribution.
9. image acquisition method as claimed in claim 8, which is characterized in that finely tune the increasing according to the waveform of the Luminance Distribution
The step of beneficial value, the light filling intensity or shutter speed, includes:
Compare the peak to peak value and a preset difference value of the waveform；
When the peak to peak value is greater than or equal to the preset difference value, the yield value, the light filling intensity and shutter speed are not adjusted
Degree；And
When the peak to peak value is less than the preset difference value, the light filling intensity or the yield value are promoted.
10. image acquisition method as claimed in claim 9, which is characterized in that should according to the fine tuning of the waveform of the Luminance Distribution
The step of yield value, the light filling intensity or shutter speed, also includes:
Compare the crest value and a pre-set peak value of the waveform；
When the crest value is greater than or equal to the pre-set peak value, the yield value, the light filling intensity and the shutter speed are not adjusted；
And
When crest value is less than the pre-set peak value, the light filling intensity or the yield value are promoted.
11. image acquisition method as claimed in claim 9, which is characterized in that should according to the fine tuning of the waveform of the Luminance Distribution
The step of yield value, the light filling intensity or shutter speed, also includes:
Compare the valley value and a default valley of the waveform；
When the valley value is greater than the default valley, the light filling intensity or the yield value are reduced；And
When the valley value is less than or equal to the default valley, the yield value, the light filling intensity and the shutter speed are not adjusted.
12. image acquisition method as claimed in claim 8, which is characterized in that should according to the fine tuning of the waveform of the Luminance Distribution
The step of yield value, the light filling intensity or shutter speed, includes:
When the greyscale pixel quantity of each tangent line of the waveform falls within a preset gray scale pixel quantity, the yield value is not adjusted, is somebody's turn to do
Light filling intensity and the shutter speed；And
When the greyscale pixel quantity of any tangent line of the waveform exceeds the preset gray scale pixel quantity, shutter speed is promoted
Degree.
13. the image acquisition method as described in any one of claim 5 to claim 12, which is characterized in that shutter speed
The product value of degree, the yield value and the light filling intensity is equal with after being finely adjusted before being finely adjusted.
14. a kind of automobile-used image-taking device, characterized by comprising:
One image acquisition unit, sequentially to capture several travelling images, wherein respectively the travelling image includes an object image；
And
One processing unit carries out two image analysing computer in these travelling images to obtain a variable quantity of the object image, and
A shutter speed of the image acquisition unit is set according to the variable quantity.
15. automobile-used image-taking device as claimed in claim 14, which is characterized in that also include a light filling unit, to be mended with one
Luminous intensity carries out light filling, wherein the processing unit is according to the variable quantity when the variable quantity is less than or equal to a variation threshold values
One of several default shutter speeds are set as the shutter speed by size, and when the variable quantity is greater than the variation threshold values,
One initial shutter speed value is set as the shutter speed and should according to the adjustment of one of these travelling images by the processing unit
One yield value of light filling intensity or the image acquisition unit.
16. automobile-used image-taking device as claimed in claim 15, which is characterized in that respectively the travelling image includes several pixels, should
Processing unit also obtains a grayscale distributed number of these pixels of these travelling images in several gray scale levels, and according to this
Grayscale distributed number sequentially compiles these pixels from the highest gray scale levels in these gray scale levels toward the direction of minimum gray scale grade
Number until number is to a preset numbers, and the processing unit is according to the gray scale levels that number is where the pixel of the preset numbers
Adjust the light filling intensity or the yield value.
17. automobile-used image-taking device as claimed in claim 16, which is characterized in that these gray scale levels are somebody's turn to do from the highest gray scale levels are past
The direction of minimum gray scale grade sequentially forms one first grayscale section, one second grayscale section, a third grayscale section and one the 4th
Grayscale section, when the gray scale levels at place are in the first grayscale section, which reduces the light filling intensity or the increasing
Benefit value, when the gray scale levels at place are in the second grayscale section or the 4th grayscale section, which does not adjust this
Light filling intensity or the yield value, and when the gray scale levels at place are in the third grayscale section, which is promoted should
Light filling intensity or the yield value.
18. automobile-used image-taking device as claimed in claim 15, which is characterized in that according to these travelling images one of adjustment
After the light filling intensity or the yield value, the processing unit also convert out these travelling images one of a frequency spectrum and detect should
A frequency domain position in frequency spectrum, and the processing unit finely tuned also according to whether occurring signal on the frequency domain position yield value or
The light filling intensity and the shutter speed.
19. automobile-used image-taking device as claimed in claim 18, which is characterized in that, should when there is signal on the frequency domain position
Processing unit does not adjust the yield value or the light filling intensity and the shutter speed, and works as on the frequency domain position and do not occur signal
When, which promotes the shutter speed and reduces the light filling intensity or the yield value.
20. automobile-used image-taking device as claimed in claim 18, which is characterized in that the processing unit is according to passing through the travelling image
A straight line on pixel quantity and a character image with the straight line it is equidirectional on pixel quantity obtain the frequency domain position
It sets.
21. automobile-used image-taking device as claimed in claim 15, which is characterized in that adjusted according to one of these travelling images
After the light filling intensity or the yield value, which also takes out the object image, conversion from one of these travelling images
The Luminance Distribution of these pixels on the straight line for passing through the object image out, and finely tuned according to the waveform of the Luminance Distribution
The yield value, the light filling intensity or the shutter speed.
22. automobile-used image-taking device as claimed in claim 21, which is characterized in that finely tune the increasing according to the waveform of the Luminance Distribution
Include in the step of beneficial value, the light filling intensity or shutter speed: comparing the peak to peak value and a preset difference value of the waveform；When this
When peak to peak value is greater than or equal to the preset difference value, the yield value, the light filling intensity and the shutter speed are not adjusted；And works as and be somebody's turn to do
When peak to peak value is less than the preset difference value, the light filling intensity or the yield value are promoted.
23. automobile-used image-taking device as claimed in claim 22, which is characterized in that should according to the fine tuning of the waveform of the Luminance Distribution
The step of yield value, the light filling intensity or shutter speed, also includes: comparing the crest value and a pre-set peak value of the waveform；When this
When crest value is greater than or equal to the pre-set peak value, the yield value, the light filling intensity and the shutter speed are not adjusted；When the wave crest
When value is less than the pre-set peak value, the light filling intensity or the yield value are promoted.
24. automobile-used image-taking device as claimed in claim 22, which is characterized in that should according to the fine tuning of the waveform of the Luminance Distribution
The step of yield value, the light filling intensity or shutter speed, also includes: comparing the valley value and a default valley of the waveform；When this
When valley value is greater than the default valley, the light filling intensity or the yield value are reduced；When the valley value is less than or equal to the default paddy
When value, the yield value, the light filling intensity and the shutter speed are not adjusted.
25. automobile-used image-taking device as claimed in claim 21, which is characterized in that each tangent line of the processing unit in the waveform
When greyscale pixel quantity falls within a preset gray scale pixel quantity, the yield value, the light filling intensity and the shutter speed are not adjusted,
And the processing unit is mentioned when the greyscale pixel quantity of any tangent line of the waveform exceeds and is less than the preset gray scale pixel number
Rise the shutter speed.
26. the automobile-used image-taking device as described in any one of claim 18 to claim 25, which is characterized in that shutter speed
The product value of degree, the yield value and the light filling intensity is equal with after being finely adjusted before being finely adjusted.
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