CN105939451A - Image exposure processing system and method for capsule endoscope system - Google Patents
Image exposure processing system and method for capsule endoscope system Download PDFInfo
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- CN105939451A CN105939451A CN201610471631.0A CN201610471631A CN105939451A CN 105939451 A CN105939451 A CN 105939451A CN 201610471631 A CN201610471631 A CN 201610471631A CN 105939451 A CN105939451 A CN 105939451A
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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
- H04N23/50—Constructional details
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
- A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00064—Constructional details of the endoscope body
- A61B1/00071—Insertion part of the endoscope body
- A61B1/0008—Insertion part of the endoscope body characterised by distal tip features
- A61B1/00096—Optical elements
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00163—Optical arrangements
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- A61B1/00181—Optical arrangements characterised by the viewing angles for multiple fixed viewing angles
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- H04N23/555—Constructional details for picking-up images in sites, inaccessible due to their dimensions or hazardous conditions, e.g. endoscopes or borescopes
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- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
- H04N23/663—Remote control of cameras or camera parts, e.g. by remote control devices for controlling interchangeable camera parts based on electronic image sensor signals
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- H04N23/71—Circuitry for evaluating the brightness variation
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- 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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Abstract
The invention discloses an image exposure processing system for a capsule endoscope system. A signal input end of a metering module is connected to an image, and a signal output end of the metering module is connected with a signal input end of an exposure judgment module; a signal output end of the exposure judgment module is connected with a signal input end of a brightness judgment module; a signal output end of the brightness judgment module is connected with a first signal input end of a gear calculation module; a signal output end of the gear calculation module is connected with a signal input end of a parameter adjustment module; and an image sensor signal acquisition amplifier gain and an image exposure time value output end of the parameter adjustment module are transported to a lighting device and a camera device, and an adjusted image sensor signal acquisition amplifier gain and an image exposure time gear value output end of the parameter adjustment module are connected to a second signal input end of the gear calculation module. The image exposure processing system and the method for the capsule endoscope system provided by the invention automatically process images which are too bright or too dark during the shooting process, and make an inspection process more efficient.
Description
Technical field
The present invention relates to capsule type endoscope technical field of image processing, in particular to one for glue
The image exposure processing system of capsule endoscopic system and method.
Background technology
Capsule-type endoscope system is due to its advantage such as high security, high reliability, the most extensive
It is applied in the digestive tract examining of patient.Image shows as the important step in splanchnoscopy,
The readability of its image has become the direction that need to improve, and current capsule endoscope owing to being suitable for more
In the inspection of this narrow cavity of small intestinal, therefore without the concern for problems such as image overexposures.But pin
Cavity this to stomach relatively large digestive tract organ, also exists capsule position when controlling capsule motion
Uncertainty, the distance away from coat of the stomach also exists the situation of far and near change, is therefore peeped by capsule-type
Image captured by mirror system often had bright, crossing that the problems such as dark or brightness unevenness cause cannot
Clearly obtain internal image.Simultaneously as the low frame per second of capsule endoscope image and real-time Transmission are special
Property, it is impossible to utilize the exposure parameter within imageing sensor to be automatically adjusted, otherwise there will be regulation time
Number too much causes regulation process long, or the bright situation about secretly repeatedly regulating of meeting, and it is the most invalid to produce
Image.Such consequence there will be the problems such as missing inspection exactly, reduces the reliability of inspection, very
To inspection cannot be completed, too increase burden to doctor simultaneously and check difficulty.
For above-mentioned technical problem, the patent of invention of Patent No. 201280041426.0 is " automatically
Exposure-control device, control device, endoscope apparatus and automatic exposure control method ", it is automatic
Wide angle shot information that exposure control unit is obtained by angle of visual field information acquiring section and image pixel value
The automatic exposure evaluation of estimate calculated carries out gradation conversion, thus solves more than 180 ° of angle of visibilities
The problem that outside image that object lens are caused is the darkest.But, having automatically involved by above-mentioned patent
The exposure-processed scheme of exposure-control device can not really process due to polisher institutes such as LED
The shooting image caused crosses bright or the darkest saturated image, according only to the visual field of image pickup optical system
Angle information determines that the light filling of boundary image processes, and processing scheme has limitation, is not suitable for tradition
The process of object lens shot image.
Summary of the invention
The present invention is aiming at above-mentioned technical problem, it is provided that a kind of figure for capsule endoscope system
As exposure processing system and method, this system and method can make capsule endoscope carry out in digestive tract
During controlled shooting, the brightness to shooting image controls in real time, automatically processes the mistake occurred in shooting process
Bright or cross dark image, make checking process more efficient.
For achieving the above object, a kind of image for capsule endoscope system designed by the present invention
Exposure processing system, it includes light-metering module, exposure judge module, brightness judge module, gear
Computing module and parameter adjustment module, the signal input part of described light-metering module is used for incoming image,
The signal output part of light-metering module connects the signal input part of exposure judge module, exposes judge module
Signal output part connect brightness judge module signal input part, the signal of brightness judge module is defeated
Go out end and connect the first signal input part of gear computing module, the signal output part of gear computing module
The signal input part of Connecting quantity adjusting module, the image sensor signal collection of parameter adjustment module
Gain amplifier and image exposuring time value outfan are used for flowing to illuminator and camera head, ginseng
After the adjustment of number adjusting module, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value outfan connects the secondary signal input of gear computing module.
A kind of image exposure processing method utilizing system described in claim 1, it is characterised in that
It comprises the steps:
Step 1: the signal input part of light-metering module receives the present image of input, and calculates current
The brightness evaluation parameter of image, described brightness evaluation parameter includes that image saturation value Z and image are non-
Saturated pixel average Y;
Step 2: image saturation value Z and image non-saturated pixel average Y are transferred to by light-metering module
Exposure judge module, the image non-saturated pixel average that light-metering module transfer is come by exposure judge module
Y is transferred to brightness judge module, and exposure judge module utilizes image saturation value Z to judge present image
It is bright or the darkest whether brightness crosses, and concrete determination methods is: if image saturation value Z's is absolute
When value | Z | is more than saturation value predetermined threshold value T1, then present image is crossed bright or the darkest, i.e. exposes different
Often;Otherwise, exposure is normal;The result that current image exposure is judged by exposure judge module is by bright
Degree judge module is transferred to gear computing module;
Step 3: brightness judge module is for judging current figure according to image non-saturated pixel average Y
Whether the brightness of picture is in brightness predetermined threshold value T2, and concrete judgment formula is:
|Y-Ym| < T2 (3)
Wherein, YmComfortable brightness during altimetric image, Y are observed in behaviourmFor the experience ginseng manually determined
Number;When image non-saturated pixel average Y meets formula (3), brightness of image is normal, otherwise
Brightness of image is abnormal;When Y is more than YmDuring+T2, image is brighter image;When Y is less than Ym-T2
Time, image is dark image;
The result that present image brightness judges is transferred to gear computing module by brightness judge module;
Step 4: result and present image that gear computing module judges according to current image exposure are bright
The result that degree judges, when calculating image sensor signal collection gain amplifier and image exposure after adjusting
Between gear value Dn;
If present image is initial pictures, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module judges that present image belongs to
Dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=(D0*Ym/Y)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value, YmComfortable brightness during altimetric image is observed in behaviour;
Situation two: for exposure normal picture, if brightness judge module judges that present image belongs to
During brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=D0*Ym/Y
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter;
Situation three: for exposure abnormal image, if brightness judge module judges that present image belongs to
Dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=(D0*Ym/Ya)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value, YaPixel grey scale average for present image;
Situation four: for exposure abnormal image, if brightness judge module judges that present image belongs to
Brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=D0*Ym/Ya
If present image is non-initial image, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module judges that present image belongs to
Dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=(Dc*Ym/Y)*a/100
Wherein, DcGain amplifier is gathered for the image sensor signal of piece image before present image
And image exposuring time gear value, a is image gear regulation coefficient, YmAltimetric image is observed in behaviour
Time comfortable brightness, Y is present image non-saturated pixel average;
Situation two: for exposure normal picture, if brightness judge module judges that present image belongs to
During brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=Dc*Ym/Y
Situation three: for exposure abnormal image, if brightness judge module judges that present image belongs to
Dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=(Dc*Ym/Ya)*a/100
Situation four: for exposure abnormal image, if brightness judge module judges that present image belongs to
Brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time gear
Value DnFor:
Dn=Dc*Ym/Ya
Above-mentioned image gear regulation coefficient a is calculated by below equation:
Wherein, Y1For the non-saturated pixel average of piece image, D before present imagecFor current figure
As the image sensor signal of front piece image gathers gain amplifier and image exposuring time gear value,
Y is the non-saturated pixel average of present image, and D2 is that the image sensor signal of present image is adopted
Collection gain amplifier and image exposuring time gear value
Step 5: imageing sensor after the adjustment that parameter adjustment module obtains according to gear computing module
Signals collecting gain amplifier and image exposuring time gear value, the imageing sensor prestored by inquiry
Signals collecting gain amplifier and image exposuring time gear table, find image sensor signal collection to put
In large gain and image exposuring time gear table with adjust after image sensor signal collection amplify increase
A the gear numbering that beneficial and image exposuring time gear value is close, then selects above-mentioned A shelves
In bit number, image sensor signal gathers minimum the numbering as new gear of gain amplifier value, should
It is defeated with image exposuring time value that the image sensor signal of gear numbering correspondence gathers gain amplifier value
Give illuminator and camera head, carry out the brightness adjustment of image;It addition, image passes after Tiao Zhenging
Sensor signal gathers gain amplifier and image exposuring time gear value returns to gear computing module and enters
The exposure-processed of row successive image uses.
The invention have the benefit that
1, the present invention can process the exposure image in capsule shooting process in real time;
2, the present invention can do for the image of whole gi system and adjust (i.e. every image in real time
It is both needed to real-time do exposure-processed with previous image and adjust);
3, the present invention can at any time manual adjustment and calibration image brightness (i.e. each in system is pre-
If threshold value all can manual amendment arrange);
4, the present invention can do image light filling (such as digestive tract not for different application scenarios
Same position, as the environment difference such as stomach, small intestinal does real-time image procossing, light filling is just for dark
Scene, brighter scene is done delustring and is processed), thus reach optimum image effect;
5, the present invention is not in the case of changing existing capsule endoscope structure, uses image sensing
Device signals collecting gain amplifier and image exposuring time are as the factor of regulation image light and shade, to improve
Image taking effect;
6, to shooting image when the present invention can make capsule endoscope carry out controlled shooting in digestive tract
Brightness control in real time, automatically process in shooting process occur mistake bright or cross dark image, make inspection
Look into process more efficient.
Accompanying drawing explanation
Fig. 1 is the structural representation of present system part;
Fig. 2 is capsule image schematic diagram.
In figure: 1 light-metering module, 2 exposure judge modules, 3 brightness judge modules, 4 grades
Position computing module, 5 parameter adjustment module.
Detailed description of the invention
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
A kind of image exposure processing system for capsule endoscope system of present invention design, such as figure
Shown in 1, it includes light-metering module 1, exposure judge module 2, brightness judge module 3, gear meter
Calculating module 4 and parameter adjustment module 5, the signal input part of described light-metering module 1 is used for accessing figure
As (image that capsule endoscope shoots in digestive tract), the signal output part of light-metering module 1 is even
Connecing the signal input part of exposure judge module 2, the signal output part of exposure judge module 2 connects bright
The signal input part of degree judge module 3, the signal output part of brightness judge module 3 connects gear meter
Calculating the first signal input part of module 4, the signal output part Connecting quantity of gear computing module 4 is adjusted
The signal input part of mould preparation block 5, the image sensor signal collection of parameter adjustment module 5 is amplified and is increased
Benefit and image exposuring time value outfan are used for flowing to illuminator and camera head, parameter adjustment
After the adjustment of module 5, image sensor signal gathers gain amplifier and image exposuring time (i.e. LED
The polishing time) gear value outfan connect gear computing module 4 secondary signal input.
In technique scheme, described light-metering module 1 is for calculating the brightness evaluation ginseng of present image
Number;
Described exposure judge module 2 is current for utilizing the brightness evaluation parameter of present image to judge
It is bright or the darkest whether brightness of image is crossed;
Described brightness judge module 3 is for judging that whether the brightness of present image is in default threshold value
In the range of;
Described gear computing module 4, for the brightness according to present image, calculates image after adjusting and passes
Sensor signal gathers gain amplifier and image exposuring time gear value;
Parameter adjustment module 5 is imageing sensor after the adjustment obtained according to gear computing module 4
Signals collecting gain amplifier and image exposuring time gear value, the imageing sensor prestored by inquiry
Signals collecting gain amplifier and image exposuring time gear table, find image sensor signal collection to put
In large gain and image exposuring time gear table with adjust after image sensor signal collection amplify increase
Beneficial and that image exposuring time gear value is close A (preferably 5) gear numbering, then
Image sensor signal in above-mentioned A gear numbering is selected to gather the conduct that gain amplifier value is less
New gear numbering, the image sensor signal of this gear numbering correspondence gathers gain amplifier value and figure
As exposure time values flows to illuminator and camera head, image sensor signal collection after adjustment
Gain amplifier and image exposuring time gear value return to gear computing module 4 and carry out successive image
Exposure-processed use.
In technique scheme, described brightness evaluation parameter includes that image saturation value Z and image are non-
Saturated pixel average Y.
A kind of image exposure processing method utilizing said system, it comprises the steps:
Step 1: the signal input part of light-metering module 1 receives the present image of input, and calculating is worked as
The brightness evaluation parameter of front image, described brightness evaluation parameter includes image saturation value Z and image
Non-saturated pixel average Y;
Step 2: image saturation value Z and image non-saturated pixel average Y are transmitted by light-metering module 1
Give exposure judge module 2, the image unsaturation that light-metering module 1 is transmitted by exposure judge module 2
Pixel average Y is transferred to brightness judge module 3, and exposure judge module 2 utilizes image saturation value Z
Judging whether present image brightness crosses bright or the darkest, concrete determination methods is: if image is saturated
When absolute value | Z | of value Z is more than saturation value predetermined threshold value T1 (preferably T1=30000), the most currently
Image is crossed bright or the darkest, i.e. exposes exception;Otherwise, exposure is normal;Exposure judge module 2
The result judged by current image exposure is transferred to gear computing module by brightness judge module 3
4;
Step 3: brightness judge module 3 is current for judging according to image non-saturated pixel average Y
The brightness of image whether in brightness predetermined threshold value T2 (preferably T2=32), concrete judgment formula
For:
|Y-Ym| < T2 (3)
Wherein, YmBehave comfortable brightness (preferably Y when observing altimetric imagem=134), YmBehave
The empirical parameter that work determines;When image non-saturated pixel average Y meets formula (3), image
Brightness is normal, and otherwise brightness of image is abnormal;When Y is more than YmDuring+T2, image is brighter image;
When Y is less than YmDuring-T2, image is dark image;
The result that present image brightness judges is transferred to gear computing module by brightness judge module 3
4;
Step 4: result that gear computing module 4 judges according to current image exposure and present image
The result that brightness judges, calculates image sensor signal after adjusting and gathers gain amplifier and image exposure
Time gear value Dn;
If present image is initial pictures, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module 3 judges that present image belongs to
In dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=(D0*Ym/Y)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value, YmComfortable brightness during altimetric image is observed in behaviour;
Situation two: for exposure normal picture, if brightness judge module 3 judges that present image belongs to
When brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time
Gear value DnFor:
Dn=D0*Ym/Y
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter;
Situation three: for exposure abnormal image, if brightness judge module 3 judges that present image belongs to
In dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=(D0*Ym/Ya)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value (initial pictures gear regulation coefficient a0It is preferably 100), YaPicture for present image
Element gray average;
Situation four: for exposure abnormal image, if brightness judge module 3 judges that present image belongs to
In brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=D0*Ym/Ya
If present image is non-initial image, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module 3 judges that present image belongs to
In dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=(Dc*Ym/Y)*a/100
Wherein, DcFor piece image before present image, (sortord of image is suitable according to the time
Sequence sorts) image sensor signal gather gain amplifier and image exposuring time gear value, a is
Image gear regulation coefficient, YmComfortable brightness during altimetric image is observed in behaviour, and Y is present image
Non-saturated pixel average;
Situation two: for exposure normal picture, if brightness judge module 3 judges that present image belongs to
When brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time
Gear value DnFor:
Dn=Dc*Ym/Y
Situation three: for exposure abnormal image, if brightness judge module 3 judges that present image belongs to
In dark image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=(Dc*Ym/Ya)*a/100
Situation four: for exposure abnormal image, if brightness judge module 3 judges that present image belongs to
In brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposuring time shelves
Place value DnFor:
Dn=Dc*Ym/Ya
Above-mentioned image gear regulation coefficient a is calculated by below equation:
Wherein, Y1For the non-saturated pixel average of piece image, D before present imagecFor current figure
As the image sensor signal of front piece image gathers gain amplifier and image exposuring time gear value,
Y is the non-saturated pixel average of present image, and D2 is that the image sensor signal of present image is adopted
Collection gain amplifier and image exposuring time gear value
Step 5: after the adjustment that parameter adjustment module 5 obtains according to gear computing module 4, image passes
Sensor signal gathers gain amplifier and image exposuring time gear value, and the image prestored by inquiry is passed
Sensor signal gathers gain amplifier and image exposuring time gear table, finds image sensor signal to adopt
Collection gain amplifier and image exposuring time gear table in adjust after image sensor signal collection put
Large gain and close A gear numbering of image exposuring time gear value, then select above-mentioned A
In individual gear numbering, image sensor signal gathers minimum the compiling as new gear of gain amplifier value
Number, the image sensor signal of this gear numbering correspondence gathers gain amplifier value and image exposuring time
Value flows to illuminator and camera head, carry out image brightness adjustment (such as image is the darkest,
So time of exposure is strengthened, carry out light filling process, if the brightest, then delustring would process);Separately
Outward, after adjustment, image sensor signal gathers gain amplifier and image exposuring time gear value returns to
Gear computing module 4 carries out the exposure-processed of successive image and uses.
In technique scheme, the corresponding image sensor signal of each gear value of gear table
Gather gain amplifier and image exposuring time, the image sensor signal prestored gather gain amplifier and
Image exposuring time gear table is simulated digestive tract environment in vitro and is obtained.
In the step 1 of technique scheme, the image in the brightness evaluation parameter of present image is saturated
The circular of value Z and image non-saturated pixel average Y is:
Image saturation value Z is that tolerance image crosses parameter that is bright or that cross dark degree, and computing formula is:
Z=-ZL+w×ZH
Wherein, ZLFor the number of gray scale pixel in the range of [0,14], ZHFor gray scale in [241,255]
In the range of the number of pixel, w is the saturated regulation coefficient of image, and this system is the warp manually determined
Test parameter, preferably 1.2;
Image non-saturated pixel average Y is the average of all pixels in the range of pixel value [15,240],
Computing formula is:
Wherein, N is the number of the gray scale all pixels in the range of [15,240], and I (n) is that gray scale exists
The gray scale of the pixel in the range of [15,240].
In technique scheme, described image is the maximum that in the middle of endoscopic images, border circular areas is corresponding
Inside connect square area, as shown in Figure 2.So use central authorities' metering mode, be avoided that dead space
Territory affects.
The present invention is for same type (imageing sensor photoperceptivity, LED luminous intensity and spectrum
Identical) capsule, environment in simulation digestive tract, gathers the image under different parameters, looks in vitro
To the corresponding relation of different parameters Yu brightness of image, set up brightness regulation gear table.Current when judging
When the brightness of captured image was bright or crossed dark, by judging that the gray value of image sets with actual
The relation of fixed threshold value, is calculated the new gear value of image, by searching gear table, obtains figure
As final yield value and flash time value, thus re-shoot the clear figure with high shooting condition
Picture;When judging that captured brightness of image is within normal range, then judge that whether image intensity value exists
In set threshold range, if at threshold range, then think that this image belongs to the most clearly
Image, it is not necessary to carry out brightness adjustment, proceeds the process of next image;If not at threshold
Value scope, then judge that now gray value is too high or too low is new by be calculated now
Gear value, by searching gear table, obtains the final yield value of image and flash time value, thus
Re-shoot the picture rich in detail with high shooting condition;Generate what video file was reviewed in view data
Time, backstage is read multiple neighbouring images in advance, is performed luminance proportion process so that bright secretly
The obvious brightness of image of alternate keeps basically identical.
The content that this specification is not described in detail belongs to existing known to professional and technical personnel in the field
There is technology.
Claims (10)
1. the image exposure processing system for capsule endoscope system, it is characterised in that:
It includes light-metering module (1), exposure judge module (2), brightness judge module (3), gear meter
Calculating module (4) and parameter adjustment module (5), the signal input part of described light-metering module (1) is used
In incoming image, the signal output part of light-metering module (1) connects the letter of exposure judge module (2)
Number input, the signal output part of exposure judge module (2) connects brightness judge module (3)
Signal input part, the signal output part of brightness judge module (3) connects gear computing module (4)
The first signal input part, the signal output part Connecting quantity of gear computing module (4) adjusts mould
The signal input part of block (5), the image sensor signal collection of parameter adjustment module (5) is amplified
Gain and image exposuring time value outfan are used for flowing to illuminator and camera head, and parameter is adjusted
After the adjustment of mould preparation block (5), image sensor signal gathers gain amplifier and image exposuring time shelves
Place value outfan connects the secondary signal input of gear computing module (4).
Image exposure for capsule endoscope system the most according to claim 1 processes system
System, it is characterised in that: described light-metering module (1) is for calculating the brightness evaluation ginseng of present image
Number;
Described exposure judge module (2) judges to work as utilizing the brightness evaluation parameter of present image
It is bright or the darkest whether front brightness of image is crossed;
Described brightness judge module (3) is for judging that whether the brightness of present image is at default threshold
In the range of value;
Described gear computing module (4), for the brightness according to present image, calculates and schemes after adjusting
As collecting sensor signal gain amplifier and image exposuring time gear value;
Parameter adjustment module (5) is image after the adjustment obtained according to gear computing module (4)
Collecting sensor signal gain amplifier and image exposuring time gear value, the image prestored by inquiry
Collecting sensor signal gain amplifier and image exposuring time gear table, find image sensor signal
Gather in gain amplifier and image exposuring time gear table with adjust after image sensor signal collection
Gain amplifier and close A gear numbering of image exposuring time gear value, then select above-mentioned A
In individual gear numbering, image sensor signal gathers less the compiling as new gear of gain amplifier value
Number, the image sensor signal of this gear numbering correspondence gathers gain amplifier value and image exposuring time
Value flows to illuminator and camera head, after adjustment image sensor signal gather gain amplifier and
Image exposuring time gear value returns to gear computing module (4) and carries out at the exposure of successive image
Reason uses.
Image exposure for capsule endoscope system the most according to claim 2 processes system
System, it is characterised in that: described A gear numbered 5 gears numbering.
Image exposure for capsule endoscope system the most according to claim 2 processes system
System, it is characterised in that: described brightness evaluation parameter includes image saturation value Z and image unsaturation
Pixel average Y.
5. utilizing an image exposure processing method for system described in claim 1, its feature exists
In, it comprises the steps:
Step 1: the signal input part of light-metering module (1) receives the present image of input, and counts
Calculate present image brightness evaluation parameter, described brightness evaluation parameter include image saturation value Z and
Image non-saturated pixel average Y;
Step 2: light-metering module (1) is by image saturation value Z and image non-saturated pixel average Y
Being transferred to expose judge module (2), light-metering module (1) transmission is come by exposure judge module (2)
Image non-saturated pixel average Y be transferred to brightness judge module (3), exposure judge module (2)
Image saturation value Z is utilized to judge whether present image brightness crosses bright or the darkest, the specifically side of judgement
Method is: if absolute value | Z | of image saturation value Z is more than saturation value predetermined threshold value T1, then when
Front image is crossed bright or the darkest, i.e. exposes exception;Otherwise, exposure is normal;Exposure judge module (2)
The result judged by current image exposure is transferred to gear by brightness judge module (3) and calculates mould
Block (4);
Step 3: brightness judge module (3) is for judging according to image non-saturated pixel average Y
Whether the brightness of present image is in brightness predetermined threshold value T2, and concrete judgment formula is:
|Y-Ym| < T2 (3)
Wherein, YmComfortable brightness during altimetric image, Y are observed in behaviourmFor the experience ginseng manually determined
Number;When image non-saturated pixel average Y meets formula (3), brightness of image is normal, otherwise
Brightness of image is abnormal;When Y is more than YmDuring+T2, image is brighter image;When Y is less than Ym-T2
Time, image is dark image;
The result that present image brightness judges is transferred to gear and calculates mould by brightness judge module (3)
Block (4);
Step 4: the result that gear computing module (4) judges according to current image exposure is with current
The result that brightness of image judges, calculates image sensor signal after adjusting and gathers gain amplifier and image
Time of exposure gear value Dn;
If present image is initial pictures, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module (3) judges current figure
As belonging to dark image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=(D0*Ym/Y)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value, YmComfortable brightness during altimetric image is observed in behaviour;
Situation two: for exposure normal picture, if brightness judge module (3) judges current figure
During as belonging to brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposure
Time gear value DnFor:
Dn=D0*Ym/Y
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter;
Situation three: for exposure abnormal image, if brightness judge module (3) judges current figure
As belonging to dark image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=(D0*Ym/Ya)*a0/100
Wherein, D0For initial pictures collecting sensor signal gain amplifier and image exposuring time shelves
Place value, this initial pictures collecting sensor signal gain amplifier and image exposuring time gear value are pre-
If empirical parameter, a0For initial pictures gear regulation coefficient, this initial pictures gear regulation coefficient
For preset value, YaPixel grey scale average for present image;
Situation four: for exposure abnormal image, if brightness judge module (3) judges current figure
As belonging to brighter image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=D0*Ym/Ya
If present image is non-initial image, then it is specifically divided into following four kinds of process:
Situation one, for exposure normal picture, if brightness judge module (3) judges current figure
As belonging to dark image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=(Dc*Ym/Y)*a/100
Wherein, DcGain amplifier is gathered for the image sensor signal of piece image before present image
And image exposuring time gear value, a is image gear regulation coefficient, YmAltimetric image is observed in behaviour
Time comfortable brightness, Y is present image non-saturated pixel average;
Situation two: for exposure normal picture, if brightness judge module (3) judges current figure
During as belonging to brighter image, then after adjusting, image sensor signal gathers gain amplifier and image exposure
Time gear value DnFor:
Dn=Dc*Ym/Y
Situation three: for exposure abnormal image, if brightness judge module (3) judges current figure
As belonging to dark image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=(Dc*Ym/Ya)*a/100
Situation four: for exposure abnormal image, if brightness judge module (3) judges current figure
As belonging to brighter image, then when after adjusting, image sensor signal gathers gain amplifier and image exposure
Between gear value DnFor:
Dn=Dc*Ym/Ya
Above-mentioned image gear regulation coefficient a is calculated by below equation:
Wherein, Y1For the non-saturated pixel average of piece image, D before present imagecFor current figure
As the image sensor signal of front piece image gathers gain amplifier and image exposuring time gear value,
Y is the non-saturated pixel average of present image, and D2 is that the image sensor signal of present image is adopted
Collection gain amplifier and image exposuring time gear value
Step 5: after the adjustment that parameter adjustment module (5) obtains according to gear computing module (4)
Image sensor signal gathers gain amplifier and image exposuring time gear value, is prestored by inquiry
Image sensor signal gathers gain amplifier and image exposuring time gear table, finds imageing sensor
In signals collecting gain amplifier and image exposuring time gear table with adjust after image sensor signal
Gather gain amplifier and close A the gear of image exposuring time gear value is numbered, then select
In above-mentioned A gear numbering image sensor signal gather gain amplifier value minimum as new
Gear is numbered, and image sensor signal collection gain amplifier value and image that this gear numbering is corresponding expose
Light time value flows to illuminator and camera head, carries out the brightness adjustment of image;It addition, adjust
Whole rear image sensor signal gathers gain amplifier and image exposuring time gear value returns to gear
Computing module (4) carries out the exposure-processed of successive image and uses.
Image exposure processing method the most according to claim 5, it is characterised in that: described
Image saturation value Z in the brightness evaluation parameter of present image and image unsaturation picture in step 1
The circular of element average Y is:
Image saturation value Z is that tolerance image crosses parameter that is bright or that cross dark degree, and computing formula is:
Z=-ZL+w×ZH
Wherein, ZLFor the number of gray scale pixel in the range of [0,14], ZHFor gray scale in [241,255]
In the range of the number of pixel, w is the saturated regulation coefficient of image;
Image non-saturated pixel average Y is the average of all pixels in the range of pixel value [15,240],
Computing formula is:
Wherein, N is the number of the gray scale all pixels in the range of [15,240], and I (n) is that gray scale exists
The gray scale of the pixel in the range of [15,240].
Image exposure processing method the most according to claim 5, it is characterised in that: described
A gear numbered 5 gears numbering.
Image exposure processing method the most according to claim 5, it is characterised in that: described
The sortord of image is to sort according to time sequencing.
Image exposure processing method the most according to claim 5, it is characterised in that: initial
Image gear regulation coefficient a0It is 100.
Image exposure processing method the most according to claim 5, it is characterised in that: described
Image is that the imperial palace that in the middle of endoscopic images, border circular areas is corresponding connects square area.
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