CN1932631A - Automatic focusing method for digital image pickup device starting - Google Patents
Automatic focusing method for digital image pickup device starting Download PDFInfo
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Abstract
A auto-focusing method of digital image acquisition device, includes the following steps : B : calculate the border information of the current frame value, compare this border information with the former border information, if the difference between them is greater than the threshold value which is one, let need_focus=need_focus+1, turn to E; C: calculate the average luminance of N current window frames, and compare this average l with the former average luminance of N current window frames, if the count of that the absolute value of the difference is greater than the threshold value of two is greater than four, let the focusYdiffcnt=focusYdiffcnt+1; D: if focusYdiffcnt is equal to need_focus +1, let need_focus=need_focus+1; E: if need_focus is greater or equal to three, activate the auto-focusing; G: on the frame of N return to A.
Description
Technical field
The present invention relates to the method that a kind of image capture unit starts focusing, particularly a kind of digital image pickup device starting is the method for focusing automatically.
Background technology
The startup of image capture unit focusing systems such as existing traditional camera, digital camera, video camera has following several mode:
1, hand starting:
This be occur the earliest, also be the most common Starting mode.The AF system start-up button of overwhelming majority AF (Auto Focus, focusing automatically) camera is all shared with the shutter button release.The effect of shutter button release is multiple, and its stroke is divided into two sections.Press half shutter button release and then start AF system and photometric system, treating that automatically focusing finishes after, all pressing the shutter button release then is to discharge shutter.But the mode of this startup focusing is used inconvenience.
2, eye starts:
Eye starts need be provided with a device that starts autofocus system separately.Ideal method is that infrared transmitter and receiver are set below the camera framing eyepiece, as long as the operator raises camera when finding a view, infrared receiver is received the signal that returns, and starts the AF system immediately and focuses automatically.But since this Starting mode institute based on be principle of reflection, just do not put into sack if the power supply of camera closes, the AF system of camera might still work.Afterwards this mode was improved, and added a contact witch at the gripping handle place of camera, when having only the camera of gripping, the eye start-up circuit is just charged; Continue after a while to improve, increased switch, can for good and all close the start-up mode of closing one's eyes.
3, eyes control focusing:
In the AF system of many groups of range finding assemblies that occurred afterwards,, a plurality of point distance measurements are just arranged correspondingly because a plurality of range finding assemblies are arranged.The principle of its eyes control focusing mode is that an infrared light-emitting diode is set in view-finder, it can be luminous to people's eyes, biosensor analysis in the camera behind the eyeball reflection ray, just judge eyes just staring at the position of picture, from 5 focusings, select then and the most approaching one in the position of eyes direct-views, and this point is focused.
In sum, the startup of automatic focusing of the prior art all is that electronics, optics and the mechanical hook-up by complexity realized, and all needs the people to participate in this process actively or passively, can't focus automatically veritably.
Summary of the invention
Technical matters to be solved by this invention is, overcomes in the prior art deficiency of focusing startup method automatically, proposes a kind of extra device that do not use, and only starts the method for focusing automatically by graphical analysis.
In order to address the above problem, the invention provides a kind of digital image pickup device starting method of focusing automatically, when digital image pickup device starting, once focus boundary information value edge_sum0, the average brightness Ymean0[i of corresponding two field picture when finishing automatically to obtain focusing] and lens location be the boundary information value edge_sum01 of corresponding two field picture of n-1 or the boundary information value edge_sum02 of the corresponding two field picture that lens location is n+1; In addition, the initial value that variable need_focus and focusYdiffcnt be set is 0; After this carry out following steps every the M frame:
Steps A: when need_focus>0,, then go to step F if the variation of boundary information value is in fluctuation status;
Step B: calculate the boundary information value edge_sum of present frame, and compare, if the absolute value of both differences then makes need_focus=need_focus+1, and goes to step e greater than threshold value 1 with the preceding boundary information value edge_sum0 that once focuses automatically after finishing;
Step C: the average brightness Ymean[i that calculates N window of present frame], and with the average brightness Ymean0[i of preceding once N window after automatically focusing is finished] compare respectively, if the absolute value of difference greater than threshold value 4, then makes focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2;
Step D:, then make need_focus=need_focus+1 if focusYdiffcnt equals need_focus+1; Otherwise go to step F;
Step e: if need_focus 〉=threshold value 3, then start focusing automatically, finish automatically, calculate corresponding edge_sum0, Ymean0[i to defocused] and the value of edge_sum01 or edge_sum02; Otherwise go to step G;
Step F: make need_focus=0; FocusYdiffcnt=0;
Step G: behind the M frame, return steps A;
Wherein, i=1,2 ..., N, N are the window number of present frame, camera lens position when n finishes for focusing; M is that integer, the N more than or equal to 0 is the integer more than or equal to 1.
In addition, this method also can comprise following steps before steps A or after the step F: according to user's request and actual environment for use described threshold value 1, threshold value 2 and threshold value 3 are set.
In addition, this method also can comprise following steps before steps A or after the step F: according to user's request and actual environment for use described M value is set.
In addition, available step C ' step of replacing C:
Step C ': the average brightness Ymean[i that calculates N window weight of present frame and be not 0 window], and with the average brightness Ymean0[i of the preceding once respective window after automatically focusing is finished] compare respectively, if weight is not 0 window correspondence | Ymean[i]-Ymean0[i] | greater than threshold value 4, then make focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2
In addition, the weighted value of non-key window correspondence is set to 0 in can present frame.
In addition, described threshold value 4 is: present frame window sum ÷ 2, if the present frame window adds up to the odd number operation that then rounds up.
In addition, described threshold value 4 is: weight is not 0 window sum ÷ 2 in the present frame, if weight is not that 0 window adds up to the odd number operation that then rounds up in the present frame.
In addition, the value of described threshold value 1 is: | edge_sum0-edge_sum01| * coefficient 1, or | edge_sum0-edge_sum02| * coefficient 1, wherein, 1≤coefficient 1≤2.
In addition, the span of described threshold value 2 is: more than or equal to 2 and smaller or equal to 16 integer.
In addition, the span of described threshold value 3 is: more than or equal to 2 and smaller or equal to 16 integer.
The present invention is by the analysis to image, realize starting focusing automatically without any need for electronics, optics and the mechanical hook-up of complexity, reduced cost, and reduced the human intervention factor in the focusing automatically that starts, increased the reliability of equipment, realized dynamic auto focusing, and the sensitivity of automatic focusing can be set according to user's needs and environmental change.
Description of drawings
Fig. 1 is a kind of digital image pickup device starting of the present invention process flow diagram of the method for focusing automatically.
Embodiment
Basic ideas of the present invention are, every the M frame image are carried out once focusing automatically and detect, and comprehensively judge according to boundary information value (edge_sum) and the average brightness (YMean) of current detected frame, start focusing automatically and operate when satisfying certain condition.
Below in conjunction with drawings and Examples the present invention is done to describe further.
Fig. 1 is a kind of digital image pickup device starting of the present invention process flow diagram of the method for focusing automatically.
Every the M frame image is carried out once focusing automatically and detects, focus automatically and detect the boundary information value edge_sum that needs to obtain detected frame, can obtain by following method:
At first, this two field picture is converted to gray level image, extracts edge of image then, the value of each point is gray-scale value or brightness value on the described edge.When imageing sensor export be the data of RGB Bayer form the time, need to carry out interpolation calculation to output data earlier, obtain the rgb value of each pixel after, extract edge of image again.When imageing sensor output be the data of yuv format the time, can extract the luminance component Y of each pixel earlier, directly extract edge of image as the gray-scale value or the brightness value of image then with luminance component Y.
The extraction at described edge has a variety of algorithms, obtains edge of image as utilizing the second derivative operator, and the value of each point all is gray-scale value or brightness value on the edge.This is not main contents of the present invention, will not describe in detail at this.
After extracting the edge of detected two field picture, calculate its boundary information value edge_sum, described boundary information value can be the absolute value sum of each point gray-scale value or brightness value on the image border, i.e. edge_sum=∑ | D
m|, D
mThe gray-scale value or the brightness value of m pixel on the presentation video edge.
The boundary information value also can be the quadratic sum of each grey scale pixel value or brightness value on the image border, even the edge_sum=∑ | and D
m 2|.
Except above-mentioned with each point gray scale absolute value sum or quadratic sum on the edge as the boundary information, also can be with high order power more, as cube absolute value etc., but calculating high order power can increase calculated amount, reduces arithmetic speed.Generally speaking, calculate with quadratic sum and get final product.
Detected two field picture is divided into N window, and each window all has average brightness Ymean[i], i=1,2 ..., N.Ymean[i] can be the mean value of each pixel brightness value of corresponding window.Can be each window a weighted value p[i be set], i=1,2 ..., N.Weighted value is represented the significance level of the image of this window correspondence, and when the image of window correspondence can be ignored, corresponding weighted value was 0, otherwise weighted value is greater than 0.
After camera was opened, system forced once to focus automatically, and the lens location of establishing after automatic focusing is finished is n, and can obtain lens location is the boundary information value edge_sum0 and the average brightness Ymean0[i of the corresponding two field picture of n], i=1,2 ..., N.In addition, also can obtain the boundary information value edge_sum01 of corresponding two field picture that lens location is n-1 or the boundary information value edge_sum02 of the corresponding two field picture that lens location is n+1.In addition, the initial value that variable need_focus and focusYdiffcnt be set is 0.
Wherein above-mentioned edge_sum0, edge_sum01 are identical with the computing method of edge_sum with edge_sum02; Ymean0[i] with Ymean[i] computing method identical.
After this carry out once focusing automatically every the M frame and detect, comprise following steps:
Steps A: when need_focus>0,, then go to step F if the variation of boundary information value is in fluctuation status;
Wherein, the variation of boundary information value is in fluctuation status and is meant, edge_sum that this detection of focusing automatically is corresponding and the magnitude relationship between the edge_sum0 are inconsistent with last detection corresponding edge_sum and the magnitude relationship between the edge_sum0 of focusing automatically.For example, this is focused automatically and detects corresponding edge_sum greater than edge_sum0, and last the focusing automatically detected corresponding edge_sum less than edge_sum0, thinks that then the variation of boundary information value is in fluctuation status.
Step B: calculate the boundary information value edge_sum of present frame, and compare, if the absolute value of both differences then makes need_focus=need_focus+1, and goes to step e greater than threshold value 1 with the preceding boundary information value edge_sum0 that once focuses automatically after finishing;
Wherein, threshold value 1 is | edge_sum0-edge_sum01| * coefficient 1, or | edge_sum0-edge_sum02| * coefficient 1, wherein, 1≤coefficient 1≤2.Preferably, coefficient 1 can equal 1.25.The value of coefficient 1 is relevant with focusing sensitivity, and coefficient 1 value is big more, and focusing sensitivity is low more.
Step C: the average brightness Ymean[i that calculates N window of present frame], and with the average brightness Ymean0[i of preceding once N window after automatically focusing is finished] compare respectively, if | Ymean[i]-Ymean0[i] | greater than threshold value 4, then make focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2; Wherein, i=1,2 ..., N.Be brightness when changing big window number, make focusYdiffcnt=focusYdiffcnt+1 greater than threshold value 4.
Above-mentioned threshold value 4 can be: present frame window sum ÷ 2.If the present frame window adds up to the odd number operation that then rounds up.
In addition, also available step C ' replacement of step C:
Step C ': the average brightness Ymean[i that calculates N window of present frame], and with the average brightness Ymean0[i of preceding once N window after automatically focusing is finished] compare respectively, if weight is not 0 window correspondence | Ymean[i]-Ymean0[i] | greater than threshold value 4, then make focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2; Wherein, i=1,2 ..., N.Be brightness when changing big valid window number, make focusYdiffcnt=focusYdiffcnt+1 greater than threshold value 4.
This moment, threshold value 4 can be: weight is not 0 window sum ÷ 2 in the present frame.If weight is not that 0 window adds up to the odd number operation that then rounds up in the present frame.
Wherein, the span of above-mentioned threshold value 2 is: more than or equal to 2 and smaller or equal to 16 integer; Preferably, threshold value 2 can equal 8, and the value of threshold value 2 is relevant with focusing sensitivity, and threshold value 2 values are big more, and focusing sensitivity is low more.
Step D: focusYdiffcnt is judged:
D1:, then make need_focus=need_focus+1 if focusYdiffcnt equals need_focus+1; That is, in these frames that need_focus is increased, Ymean[i] variation when also bigger always, then make need_focus=need_focus+1.
D2: otherwise go to step F.
Step e: need_focus is judged:
E1: if need_focus 〉=threshold value 3 then starts focusing automatically; When finishing automatically, calculate corresponding edge_sum0, Ymean0[i to defocused], i=1,2 ..., the value of N and edge_sum01 or edge_sum02;
E2: otherwise go to step G;
Wherein, the span of threshold value 3 is: more than or equal to 2 and smaller or equal to 16 integer; Preferably, threshold value 3 can equal 8, and the value of threshold value 3 is relevant with focusing sensitivity, and threshold value 3 values are big more, and focusing sensitivity is low more.
Step F: make need_focus=0; FocusYdiffcnt=0;
Step G: behind the M frame, return steps A.
Wherein above-mentioned M can value be the integer more than or equal to 0, and can dynamically arrange according to user's request and actual environment for use.
Claims (10)
1, the method for the automatic focusing of a kind of digital image pickup device starting, it is characterized in that, when digital image pickup device starting, once focus boundary information value edge_sum0, the average brightness Ymean0[i of corresponding two field picture when finishing automatically to obtain focusing] and lens location be the boundary information value edge_sum01 of corresponding two field picture of n-1 or the boundary information value edge_sum02 of the corresponding two field picture that lens location is n+1; In addition, the initial value that variable need_focus and focusYdiffcnt be set is 0; After this carry out following steps every the M frame:
Steps A: when need_focus>0,, then go to step F if the variation of boundary information value is in fluctuation status;
Step B: calculate the boundary information value edge_sum of present frame, and compare, if the absolute value of both differences then makes need_focus=need_focus+1, and goes to step e greater than threshold value 1 with the preceding boundary information value edge_sum0 that once focuses automatically after finishing;
Step C: the average brightness Ymean[i that calculates N window of present frame], and with the average brightness Ymean0[i of preceding once N window after automatically focusing is finished] compare respectively, if the absolute value of difference greater than threshold value 4, then makes focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2;
Step D:, then make need_focus=need_focus+1 if focusYdiffcnt equals need_focus+1; Otherwise go to step F;
Step e: if need_focus 〉=threshold value 3, then start focusing automatically, finish automatically, calculate corresponding edge_sum0, Ymean0[i to defocused] and the value of edge_sum01 or edge_sum02; Otherwise go to step G;
Step F: make need_focus=0; FocusYdiffcnt=0;
Step G: behind the M frame, return steps A;
Wherein, i=1,2 ..., N, N are the window number of present frame, camera lens position when n finishes for focusing; M is that integer, the N more than or equal to 0 is the integer more than or equal to 1.
2, the method for the automatic focusing of digital image pickup device starting as claimed in claim 1, it is characterized in that this method also comprises following steps before steps A or after the step F: described threshold value 1, threshold value 2 and threshold value 3 are set according to user's request and actual environment for use.
3, the method for the automatic focusing of digital image pickup device starting as claimed in claim 1 is characterized in that this method also comprises following steps before steps A or after the step F: according to user's request and actual environment for use described M value is set.
4, the method for the automatic focusing of digital image pickup device starting as claimed in claim 1 is characterized in that, uses step C ' step of replacing C:
Step C ': the average brightness Ymean[i that calculates N window weight of present frame and be not 0 window], and with the average brightness Ymean0[i of the preceding once respective window after automatically focusing is finished] compare respectively, if weight is not 0 window correspondence | Ymean[i]-Ymean0[i] | greater than threshold value 4, then make focusYdiffcnt=focusYdiffcnt+1 greater than the number of threshold value 2
5, the method for the automatic focusing of digital image pickup device starting as claimed in claim 4 is characterized in that the weighted value of non-key window correspondence is set to 0 in the present frame.
6, the automatic method of focusing of digital image pickup device starting as claimed in claim 1 is characterized in that described threshold value 4 is: present frame window sum ÷ 2, if the present frame window adds up to the odd number operation that then rounds up.
7, the method for the automatic focusing of digital image pickup device starting as claimed in claim 4, it is characterized in that, described threshold value 4 is: weight is not 0 window sum ÷ 2 in the present frame, if weight is not that 0 window adds up to the odd number operation that then rounds up in the present frame.
8, the method for the automatic focusing of digital image pickup device starting as claimed in claim 1 or 2, it is characterized in that the value of described threshold value 1 is: | edge_sum0-edge_sum01| * coefficient 1, or | edge_sum0-edge_sum02| * coefficient 1, wherein, 1≤coefficient 1≤2.
9, the automatic method of focusing of digital image pickup device starting as claimed in claim 1 or 2 is characterized in that the span of described threshold value 2 is: more than or equal to 2 and smaller or equal to 16 integer.
10, the automatic method of focusing of digital image pickup device starting as claimed in claim 1 or 2 is characterized in that the span of described threshold value 3 is: more than or equal to 2 and smaller or equal to 16 integer.
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