CN101232583A - Method for self-adaptive regulating camera aperture - Google Patents

Method for self-adaptive regulating camera aperture Download PDF

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Publication number
CN101232583A
CN101232583A CNA200810057297XA CN200810057297A CN101232583A CN 101232583 A CN101232583 A CN 101232583A CN A200810057297X A CNA200810057297X A CN A200810057297XA CN 200810057297 A CN200810057297 A CN 200810057297A CN 101232583 A CN101232583 A CN 101232583A
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aperture
image
gray
camera
shot subject
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CNA200810057297XA
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吴威
张淑军
黄海
周忠
赵沁平
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Beihang University
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Beihang University
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Abstract

An aperture self-adapting adjusting apparatus and method for pick-up cameras; the apparatus comprises an aperture variable lens and a relevant controller, a pick-up camera and a mainframe to control the pick-up camera; through a digital image process, the method can perform self-adaptive adjustment for the aperture of the pick-up camera according to the light beam brightness for any subject in camera, and therefore, gain the suitable exposure amount for the subject in camera and strengthen the definition of the subject in camera in the image. The apparatus and method are particularly applicable to camera shooting places where obvious differences exist in light beams between subjects in camera and background, and moreover, suitable exposure is desired for the subjects in camera; no matter where the subjects in camera are inside a scene, the method can perform correct exposure adjustment with the subject in camera as the center.

Description

A kind of self-adaptive regulating camera aperture and method
Technical field
The present invention relates to a kind of self-adaptive regulating camera aperture and method.
Background technology
Obtaining a width of cloth distinct image is the basis of subsequent image processing, graphical analysis.In many application, often the quality that video camera is caught image especially the picture quality of shot subject require very high.The suitable aperture size is one of key factor that gets a distinct image during video camera is taken.The aperture branch " automatically " of video camera and " manually " two kinds of control modes.Use auto iris, can keep suitable light-inletting quantity, the output signal strength that obtains stipulating.But in practical operation, acquire a certain degree of difficulty with full-automatic aperture.
Traditional auto exposure system is with the control that relatively exposes of the brightness average of entire image and predefined reference value.In image the luminance difference of shot subject and background hour, the image of shooting can have effect preferably.Yet when the luminance difference of shot subject and background is big, because the CCD/CMOS dynamic range is narrower in present most of video camera products, high-brightness region can be over-exposed in the image, the low brightness area under-exposure, thus cause the over-exposed or under-exposed of shot subject in the image.Such as, when reversible-light shooting and front high light and shooting, the mean flow rate of image is determined by background luminance, will cause the improper exposure of image shot subject based on the exposure control of image brightness average.
For the control that effectively exposes at reversible-light shooting and front high light with when taking, must improve traditional automatic exposure control algolithm based on the image brightness average.Haruki and Kikiuchi (T.Haruki and K.Kikuchi, " Video camera system using fuzzy logic ", IEEE Transactions on ConsumerElectronics, Vol.38, No.3, pp.624-634, Aug.1992) corrective measure of Ti Chuing is divided into six zones with screen, by giving the different weights of each regional luminance of screen and the cum rights brightness value that adds up, final result is that exposure has been focused on center Screen.Shimizu (S.Shimizu, T.Kondo, T.Kohashi, M.Tsurata, T.Komuro, " A new algorithm for exposure control based on fuzzy logic for videocameras ", IEEE Transactions on Consumer Electronics, Vol.38, No.3, pp.617-623 Aug.1992) has proposed a kind of method, every width of cloth image calculation is gone out three luminance thresholds, distinguish backlight greater than the pixel rate of different luminance thresholds according to brightness value in the entire image, special screnes such as front high light also carry out corresponding exposure compensating.Murakami and Honda (M.Murakami and N.Honda, " An exposure control system ofvideo cameras based on fuzzy logic using color information ", Proceedings of theFifth IEEE International Conference on Fuzzy Systems, Vol.3,1996) automatic exposure control method that proposes then is to use the color information of image to coordinate the brightness of shot subject and background when the image shot subject is carried out exposure compensating.
More than improved automatic exposure control method the automatic exposure performance of video camera is greatly increased, but still can't be to the control that effectively exposes of any scene.For example, the method to the image division zone that Haruki and Kikiuchi propose is subjected to the influence of shot subject position in the screen, when shot subject is difficult to shot subject is carried out suitable exposure during not at center Screen.Owing to do not adopt any type of Region Segmentation, though the location independent of shot subject in the algorithm that Shimizu proposes and the image, can detect backlight or front light intensity and carry out corresponding exposure compensating, but this algorithm can only provide the luminance contrast power of image, and can not determine that high luminance contrast still is that shot subject self causes by background light, so the control that also can't effectively expose under many circumstances.Therefore, when the luminance difference of shot subject and background is big, use auto iris to cause the shot subject exposure undesired easily, the image of taking is undesirable.
Summary of the invention
Technology of the present invention is dealt with problems and is: overcome the deficiency that prior art can not the automatic camera aperture size when images acquired, a kind of apparatus and method of regulating camera aperture according to the brightness self adaptation of shot subject are provided, to the requirement of shot subject proper exposure, strengthen the definition of shot subject in the image when satisfying photographic images.
Technical solution of the present invention: a kind of self-adaptive regulating camera aperture, a kind of self-adaptive regulating camera aperture comprises: lens controller, the video camera that has the aperture variable lens, main frame; The image that has the video camera shooting of aperture variable lens sends in the main frame; Main frame is handled image, judges the depth of exposure of image, and sends the aperture conditioning signal according to judged result to lens controller; The aperture conditioning signal that lens controller sends main frame is converted to the control signal of aperture variable lens, drives aperture regulating motor, realizes that the aperture size of video camera is regulated automatically, thereby makes shot subject obtain suitable exposure.
Described video camera adopts the style of shooting of fixed-direction and fixed focal length.
A kind of self-adaptive regulating camera aperture carries out the method that aperture is regulated, and may further comprise the steps:
(1) before entering scene, gathers shot subject background image A;
(2) shot subject is gathered piece image B after entering scene;
(3) image B that collects of background image A that step (1) is collected and step (2) is converted to gray level image respectively;
(4) two width of cloth gray level images that are converted to according to step (3) extract the gray level image of shot subject;
(5) gray average of calculating shot subject gray level image;
(6) judge that gray average whether in predefined ideal exposure gray threshold scope, if in threshold range, then need not carry out aperture and regulate, change step (7) and also begin image acquisition process; Regulate otherwise carry out aperture, change step (2) then;
(7) the aperture adjustment process finishes.
The present invention's beneficial effect compared with prior art: the present invention can be when shot subject and background reflectance be big, from the image of taking, extract shot subject, the shot subject image is converted into gray level image, gray average according to shot subject in the gray level image is determined aperture size, aperture to video camera carries out the self adaptation adjusting, realization strengthens the definition of shot subject in the image to the proper exposure of shot subject.The present invention is specially adapted to exist between shot subject and the background obvious light difference and requires shooting occasion to the shot subject proper exposure, no matter shot subject is in where going up in the scene, can both be that correct exposure adjusting is carried out at the center with the shot subject.
Description of drawings
Fig. 1 is a self-adaptive regulating camera aperture structure chart of the present invention;
Fig. 2 is a camera aperture adaptive regulation method flow chart of the present invention.
Embodiment
Below, with reference to accompanying drawing, concrete state of the present invention is explained, but the invention is not restricted to illustrated example.
As shown in Figure 1, have the image that the video camera of aperture variable lens takes and send to a host computer; Main frame is handled image, the depth of exposure of analysis image, and send the aperture conditioning signal to lens controller according to analysis result; The aperture conditioning signal that lens controller sends main frame is converted to the understandable control signal of camera lens, drives the adjusting that aperture regulating motor is realized aperture.
As shown in Figure 2, the step of camera aperture adaptive regulation method of the present invention is: video camera adopts fixed-direction, fixed focal length to take, before entering photographed scene, gathers shot subject a width of cloth background image A earlier, after shot subject enters photographed scene, gather piece image B again, image A and B are sent to main frame.Main frame is converted to gray level image A ' and B ' respectively as follows with image A and B:
(1) calculates gray=r * 0.3+g * 0.59+b * 0.11;
(2) value to gray rounds;
(3) make the value of r, g, b all equal gray.
Wherein r, g, b are respectively R, G, the B values of each pixel among coloured image A and the B.The pixel value B ' of for simplicity, note image A ' pixel value A ' (x, y)=gray, image B ' (x, y)=gray, x=1 wherein, 2 ..., M, y=1,2 ..., N, M and N are picture altitude and width.
Extract shot subject according to A ' and B ' in B ': the set of establishing the pixel value composition of shot subject is the pixel value of shot subject among the B ' for H={c|c }, then ask F to comprise following two steps:
(a) make that H is an empty set;
(b) to image A ' and B ', and individual element calculating h=|B ' (x, y)-(if h>7, then (x y) incorporates set H into to A ' with B ' for x, y) | value.
The gray average that calculates shot subject according to H is:
g = Σ c ∈ H c | H | , wherein | H| represents to gather the number of element among the H.
If aperture size is represented with F, F is expressed as F=f (g) with monotonic function f (g).Monotonic function f (g) is with a gray threshold scope approximate representation: if the gray average g of shot subject is greater than ideal exposure gray threshold scope, then main frame reduces the aperture control signal according to the difference size delta of g and gray threshold scope to lens controller output, and the reduction of aperture is by the size decision of Δ; If the gray average g of shot subject is less than ideal exposure gray threshold scope, then main frame increases the aperture control signal according to the difference size delta of g and gray threshold scope to lens controller output, and the increase of aperture is by the size decision of difference size delta.
For the camera lens that drives with direct current machine, it is digital signal that the aperture of main frame output is regulated control signal, can not be used as the signal of telecommunication of drive motors motion, lens controller is responsible for the digital signal of main frame output is converted to current signal, add certain voltage to direct current machine, motor is with regard to setting in motion, if add reverse voltage, motor is with regard to inverted running.For example, under the control of lens controller, at every turn to direct current machine add ± 12V continues the voltage of 100ms, motor just forward/backward makes a move, the size that aperture is regulated is by the polarity and the duration decision of voltage.For for stepper motor driven camera lens, lens controller is responsible for the digital signal of main frame output is converted to electric impulse signal, and the size that aperture is regulated is determined by number of pulse signals.
It should be noted last that; the above only is a preferred implementation of the present invention; should be understood that; for those skilled in the art; under the prerequisite that does not break away from self-adaptive regulating camera aperture of the present invention and method principle; can also make some improvement or be equal to replacement, these improvement and be equal to replacement and also should be considered as protection scope of the present invention.

Claims (7)

1. a self-adaptive regulating camera aperture is characterized in that comprising: lens controller, the video camera that has the aperture variable lens, main frame; The image that has the video camera shooting of aperture variable lens sends in the main frame; Main frame is handled image, judges the depth of exposure of image, and sends the aperture conditioning signal according to judged result to lens controller; Lens controller is converted to current signal with the digital signal of main frame output, drives aperture regulating motor, realizes that the aperture size of video camera is regulated automatically, thereby makes shot subject obtain suitable exposure.
2. a kind of self-adaptive regulating camera aperture according to claim 1 is characterized in that: described video camera adopts the style of shooting of fixed-direction, fixed focal length.
3. a self-adaptive regulating camera aperture carries out the method that aperture is regulated, and it is characterized in that may further comprise the steps:
(1) before entering scene, gathers shot subject background image A;
(2) shot subject is gathered piece image B after entering scene;
(3) image B that collects of background image A that step (1) is collected and step (2) is converted to gray level image respectively;
(4) two width of cloth gray level images that are converted to according to step (3) extract the gray level image of shot subject;
(5) gray average of calculating shot subject gray level image;
(6) judge that gray average whether in predefined ideal exposure gray threshold scope, if in threshold range, then need not carry out aperture and regulate, change step (7) and also begin image acquisition process; Regulate otherwise carry out aperture, change step (2) then;
(7) the aperture adjustment process finishes.
4. a kind of self-adaptive regulating camera aperture according to claim 4 carries out the method that aperture is regulated, and it is characterized in that: the method that the image B that background image A that in the described step (3) step (1) is collected and step (2) collect is converted to gray level image A ' and B ' respectively is:
(1) calculates gray=r * 0.3+g * 0.59+b * 0.11;
(2) value to gray rounds and makes the value of r, g, b all to equal gray;
The pixel value B ' that wherein r, g, b are respectively R, G, the B values of each pixel among coloured image A and the B, the note image A ' pixel value A ' (x, y)=gray, image B ' (x, y)=gray.
5. a kind of self-adaptive regulating camera aperture according to claim 4 carries out the method that aperture is regulated, and it is characterized in that: the method for the gray level image of two width of cloth gray level images extraction shot subject that described step (4) is converted to is as follows:
(1) establishing the set that the pixel value of shot subject forms is the pixel value of shot subject among the B ' for H={c|c }, the initial value of H is defined as empty set;
(2) to image A ' and B ', and individual element calculating h=|B ' (x, y)-(if h>7, then (x y) incorporates set H into to A ' with B ' for x, y) | value.
6. a kind of self-adaptive regulating camera aperture according to claim 4 carries out the method that aperture is regulated, and it is characterized in that: the gray average of the shot subject of described step (5) is:
g = Σ c ∈ H c | H | , wherein | H| represents to gather the number of element among the H.
7. a kind of self-adaptive regulating camera aperture according to claim 4 carries out the method that aperture is regulated, it is characterized in that: the aperture regulating method of described step (6) is: if the gray average g of shot subject is greater than ideal exposure gray threshold scope, then main frame reduces the aperture control signal according to the difference size delta of g and gray threshold scope to lens controller output, and the reduction of aperture is by the size decision of Δ; If the gray average g of shot subject is less than ideal exposure gray threshold scope, then main frame increases the aperture control signal according to the difference size delta of g and gray threshold scope to lens controller output, and the increase of aperture is by the size decision of difference size delta.
CNA200810057297XA 2008-01-31 2008-01-31 Method for self-adaptive regulating camera aperture Pending CN101232583A (en)

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102725672A (en) * 2010-02-01 2012-10-10 松下电器产业株式会社 Imaging device and mobile apparatus
CN103108135A (en) * 2011-11-11 2013-05-15 佳能株式会社 Imaging apparatus and method for controlling diaphragm
CN103327253A (en) * 2013-06-26 2013-09-25 深圳市中兴移动通信有限公司 Multiple exposure method and camera shooting device
WO2014201919A1 (en) * 2013-06-19 2014-12-24 华为技术有限公司 Automatic iris control method and system
CN104301619A (en) * 2014-02-24 2015-01-21 凯迈(洛阳)测控有限公司 Fast camera exposure time automatic adjusting method and device
CN106254787A (en) * 2015-06-12 2016-12-21 奥林巴斯株式会社 Filming apparatus and image pickup method
CN106488142A (en) * 2016-12-08 2017-03-08 中国航空工业集团公司洛阳电光设备研究所 A kind of auto iris signal conversion method and circuit
CN106534660A (en) * 2015-09-11 2017-03-22 深圳中集天达空港设备有限公司 Self-adaptive image shooting method and self-adaptive image shooting device
CN107302665A (en) * 2017-08-18 2017-10-27 联想(北京)有限公司 A kind of camera device, aperture regulating method and electronic equipment
CN107734256A (en) * 2017-10-24 2018-02-23 无锡瑞辰光谱测控有限公司 A kind of formula dimmer arrangement with an automatic light meter and its application method
CN107835347A (en) * 2017-11-30 2018-03-23 信利光电股份有限公司 A kind of camera device and electronic equipment
CN111510631A (en) * 2020-04-27 2020-08-07 成都国铁电气设备有限公司 Rapid automatic focusing method and focusing device
CN113163077A (en) * 2020-01-22 2021-07-23 宁波舜宇光电信息有限公司 Camera shooting module
CN113395421A (en) * 2020-03-13 2021-09-14 佳能株式会社 Image processing apparatus, image capturing apparatus, control method, and storage medium

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102725672A (en) * 2010-02-01 2012-10-10 松下电器产业株式会社 Imaging device and mobile apparatus
CN103108135A (en) * 2011-11-11 2013-05-15 佳能株式会社 Imaging apparatus and method for controlling diaphragm
CN103108135B (en) * 2011-11-11 2016-09-14 佳能株式会社 Picture pick-up device and diaphragm control method
US9866763B2 (en) 2013-06-19 2018-01-09 Huawei Technologies Co., Ltd. Auto-iris control method
WO2014201919A1 (en) * 2013-06-19 2014-12-24 华为技术有限公司 Automatic iris control method and system
CN103327253A (en) * 2013-06-26 2013-09-25 深圳市中兴移动通信有限公司 Multiple exposure method and camera shooting device
CN103327253B (en) * 2013-06-26 2015-05-13 努比亚技术有限公司 Multiple exposure method and camera shooting device
CN104301619A (en) * 2014-02-24 2015-01-21 凯迈(洛阳)测控有限公司 Fast camera exposure time automatic adjusting method and device
CN104301619B (en) * 2014-02-24 2018-01-26 凯迈(洛阳)测控有限公司 A kind of quickly camera exposure time automatic adjusting method and device
CN106254787B (en) * 2015-06-12 2019-03-12 奥林巴斯株式会社 Filming apparatus and image pickup method
CN106254787A (en) * 2015-06-12 2016-12-21 奥林巴斯株式会社 Filming apparatus and image pickup method
CN106534660A (en) * 2015-09-11 2017-03-22 深圳中集天达空港设备有限公司 Self-adaptive image shooting method and self-adaptive image shooting device
CN106534660B (en) * 2015-09-11 2023-04-28 深圳中集天达空港设备有限公司 Self-adaptive image shooting method and device
CN106488142A (en) * 2016-12-08 2017-03-08 中国航空工业集团公司洛阳电光设备研究所 A kind of auto iris signal conversion method and circuit
CN107302665B (en) * 2017-08-18 2020-07-24 联想(北京)有限公司 Camera device, aperture adjusting method and electronic equipment
CN107302665A (en) * 2017-08-18 2017-10-27 联想(北京)有限公司 A kind of camera device, aperture regulating method and electronic equipment
CN107734256A (en) * 2017-10-24 2018-02-23 无锡瑞辰光谱测控有限公司 A kind of formula dimmer arrangement with an automatic light meter and its application method
CN107734256B (en) * 2017-10-24 2023-12-01 无锡瑞辰光谱测控有限公司 Automatic dimming type dimming device and use method thereof
CN107835347A (en) * 2017-11-30 2018-03-23 信利光电股份有限公司 A kind of camera device and electronic equipment
CN113163077A (en) * 2020-01-22 2021-07-23 宁波舜宇光电信息有限公司 Camera shooting module
CN113395421A (en) * 2020-03-13 2021-09-14 佳能株式会社 Image processing apparatus, image capturing apparatus, control method, and storage medium
CN113395421B (en) * 2020-03-13 2023-08-22 佳能株式会社 Image processing apparatus, image capturing apparatus, control method, and storage medium
CN111510631A (en) * 2020-04-27 2020-08-07 成都国铁电气设备有限公司 Rapid automatic focusing method and focusing device

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