CN105939451A - Image exposure processing system and method for capsule endoscope system - Google Patents

Image exposure processing system and method for capsule endoscope system Download PDF

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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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image
gear
value
exposure
brightness
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CN105939451B (en
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袁文金
刘浩
王新宏
段晓东
肖国华
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Anhan Science and Technology (Wuhan) Co., Ltd.
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ANKON PHOTOELECTRIC TECHNOLOGY (WUHAN) Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50Constructional details
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments 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
    • A61B1/00002Operational features of endoscopes
    • A61B1/00004Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments 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
    • A61B1/00064Constructional details of the endoscope body
    • A61B1/00071Insertion part of the endoscope body
    • A61B1/0008Insertion part of the endoscope body characterised by distal tip features
    • A61B1/00096Optical elements
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments 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
    • A61B1/00163Optical arrangements
    • A61B1/00174Optical arrangements characterised by the viewing angles
    • A61B1/00181Optical arrangements characterised by the viewing angles for multiple fixed viewing angles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50Constructional details
    • H04N23/555Constructional details for picking-up images in sites, inaccessible due to their dimensions or hazardous conditions, e.g. endoscopes or borescopes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/66Remote control of cameras or camera parts, e.g. by remote control devices
    • H04N23/663Remote control of cameras or camera parts, e.g. by remote control devices for controlling interchangeable camera parts based on electronic image sensor signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/71Circuitry for evaluating the brightness variation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/73Circuitry for compensating brightness variation in the scene by influencing the exposure time

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • Surgery (AREA)
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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

Image exposure processing system and method for capsule endoscope system
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:
Y 1 Y = D c D 2 × a 100 ⇒ a = 100 Y 1 D 2 YD c
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:
Y 1 Y = D c D 2 × a 100 ⇒ a = 100 Y 1 D 2 YD c
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:
Y = Σ n = 0 N I ( n ) N
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:
Y 1 Y = D c D 2 × a 100 ⇒ a = 100 Y 1 D 2 YD c
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:
Y = Σ n = 0 N I ( n ) N
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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