CN105827902A - Night scene detection method and terminal - Google Patents
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Abstract
The present invention provides a night scene detection method and a terminal, relating to the technical field of terminals. The night scene detection method and the terminal are invented for solving the problem that a night scene can not be accurately detected by a terminal in the prior art. The night scene detection method comprises a step of obtaining multiple environment parameters in a shooting preview image of the terminal, and a step of determining whether the environment where the terminal is located is a night scene or not according to the multiple environment parameters. According to the scheme, whether the environment where the terminal is located is the night scene or not can be determined according to the multiple environment parameters in the shooting preview image of the terminal, compared with a night scene detection method based on a single environment parameter in the prior art, the probability of wrong judgment is reduced, and the accuracy of night scene detection is improved.
Description
Technical field
The present invention relates to field of terminal technology, particularly relate to a kind of night scene detection method and terminal.
Background technology
In such as mobile phone camera carries out shooting process, night scene is often needed to detect, and described night scene detection actually dark situation detection, with to detecting it is that the scene of dark situation carries out noise reduction and luminance raising, such that it is able to shoot brightness in the case of dark situation suitably can record nearly all details and the less image of noise of current scene.
Currently, during scene is carried out night scene detection, it can be determined that the element of night scene condition includes grey level histogram, exposure gain ExposureGain (ISO value) and time of exposure ExposureTime.Concrete, when carrying out night scene detection by grey level histogram, mainly one gray threshold of definition, calculate the ratio that gray value accounts for the number of total pixel less than the number of the pixel of described gray threshold, if described ratio is more than a predetermined threshold value, then judge it is night scene.When carrying out night scene detection by ExposureGain and ExposureTime, if ExposureGain and ExposureTime is less, belongs to bright ring border, and when ExposureGain and ExposureTime is bigger, belong to dark situation.Or first pass through ExposureGain and ExposureTime and filter out the scene that comparison is bright, recycling grey level histogram carries out night scene detection.
But, judging by accident largely easily occurs in current night scene detection method.Such as, some photos shot under night scene environment, but ISO=100, ExposureTime=0.01, this is typical bright environmental condition, but due to a brighter luminous object shooting under alignment lens night scene environment, to such an extent as to erroneous judgement occurs.Same, under bright ring border, alignment lens ater object shoots, and may be mistaken for being dark situation according to current night scene detection method.
Summary of the invention
It is an object of the invention to provide a kind of night scene detection method and terminal, cannot accurately detect the technical problem of night scene for solving terminal in prior art, to improve the accuracy of night scene detection.
In order to realize above-mentioned purpose, the present invention provides a kind of night scene detection method, including:
Obtain the multiple ambient parameters in the shooting preview image of terminal；
According to the plurality of ambient parameter, determine that the environment residing for described terminal is night scene.
The present invention also provides for a kind of terminal, including:
Acquisition module, the multiple ambient parameters in the shooting preview image obtaining terminal；
First determines module, for according to the plurality of ambient parameter, determines that the environment residing for described terminal is night scene.
By the technique scheme of the present invention, the beneficial effects of the present invention is:
The night scene detection method of the embodiment of the present invention and terminal, the multiple ambient parameters in shooting preview image according to terminal, determine that the environment residing for described terminal is night scene, compared to the night scene detection method carried out by single environment parameter in prior art, reduce the probability that erroneous judgement occurs, improve the accuracy of night scene detection.
Accompanying drawing explanation
Fig. 1 represents the flow chart of the night scene detection method of the embodiment of the present invention.
Fig. 2 represents the flow chart that shooting preview image A carries out night scene detection of the preferred embodiment of the present invention.
Fig. 3 represents the structural representation of the terminal of the embodiment of the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing, specific embodiment is described in detail.
First embodiment
Shown in Figure 1, the embodiment of the present invention provides a kind of night scene detection method, and for a terminal, described night scene detection method includes:
S101: obtain the multiple ambient parameters in the shooting preview image of terminal；
S102: according to the plurality of ambient parameter, determines that the environment residing for described terminal is night scene.
By the night scene detection method of the embodiment of the present invention, the multiple ambient parameters in shooting preview image according to terminal, determine that the environment residing for described terminal is night scene, compared to the night scene detection method carried out by single environment parameter in prior art, reduce the probability that erroneous judgement occurs, improve the accuracy of night scene detection.
Second embodiment
Currently judging that the ambient parameter of night scene condition includes exposure parameter and grey level histogram, the embodiment of the present invention also provides for a kind of night scene detection method, including:
S1011, obtains the exposure parameter in the shooting preview image of terminal and grey level histogram；
S1012, according to the corresponding relation between default exposure parameter, gray threshold and proportion threshold value, obtains first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image；
S1013, according to described grey level histogram, acquisition gray value is less than the ratio of the number of the pixel of described first gray threshold and the number of the pixel of the total of described preview image；
S1021, according to described ratio and the first proportion threshold value, determines that the environment residing for described terminal is night scene.
In the specific embodiment of the invention, if described ratio is more than or equal to described first proportion threshold value, determine that the environment residing for described terminal is night scene.
So, exposure parameter in the shooting preview image of terminal and grey level histogram are combined, and according to the corresponding relation between default exposure parameter, gray threshold and proportion threshold value, the environment residing for described terminal is judged, improve the accuracy of night scene detection.
In this embodiment, when obtaining first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image, mainly according to the corresponding relation between exposure parameter, gray threshold and the proportion threshold value preset, interpolation algorithm is utilized to obtain.
Wherein, interpolation algorithm has a variety of, such as linear difference algorithm, quadratic interpolation algorithm etc., and the precision that different interpolation algorithms can realize is different, and time efficiency during operation is also different.For the selection of different interpolation algorithms, be according to current demand, according to logarithm value precision and the requirement of time efficiency.
In the specific embodiment of the invention, described interpolation algorithm is preferably linear interpolation algorithm.
In actual application, described exposure parameter can include exposure gain and time of exposure.
And when described interpolation algorithm is linear interpolation algorithm, the step of first gray threshold corresponding with described exposure gain and time of exposure of the described preview image of described acquisition includes:
The first gray threshold N corresponding with described exposure gain ISO and time of exposure T of described preview image is calculated according to linear interpolation algorithm formula (1)；
Wherein, formula (1) is: N=N1(L1÷L)×△N；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, N1For with (ISO1, T1) corresponding gray threshold, △ N is and (ISO1, T1) corresponding gray threshold N1And with (ISO2, T2) corresponding gray threshold N2Difference.
Meanwhile, when described interpolation algorithm is linear interpolation algorithm, the step of first proportion threshold value corresponding with described exposure gain and time of exposure of the described preview image of described acquisition includes:
First proportion threshold value Ratio corresponding with described exposure gain ISO and time of exposure T of described preview image is calculated according to linear interpolation algorithm formula (2)；
Wherein, formula (2) is: Ratio=Ratio1(L1÷L)×△Ratio；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, Ratio1For with (ISO1, T1) corresponding proportion threshold value, △ Ratio is and (ISO1, T1) corresponding proportion threshold value Ratio1And with (ISO2, T2) corresponding proportion threshold value Ratio2Difference.
So, linear interpolation algorithm is utilized just quick can must to calculate first gray threshold corresponding with described exposure gain and time of exposure and first proportion threshold value of described preview image.
Below, by a specific embodiment, the linear interpolation algorithm of the present invention is described in detail.
It is assumed that the scope of the exposure gain ISO of a terminal is: 100-4000；The scope of time of exposure T is: 0.01S-0.1S；
Utilize linear interpolation algorithm, need by above-mentioned two parameter value calculation distance, but the value of above-mentioned two groups of numerical value is not on the same order of magnitude, when utilizing its computed range, there will be a parameter and occupy leading position, and the situation that another parameter is the most like water off a duck's back, so, in actual applications, first the value of above-mentioned parameter can be processed, such as ISO value all obtains scope divided by 40: 2.5-100, time of exposure T is multiplied by 1000 and obtains scope simultaneously: 10-100, it is at the same order of magnitude, parameter value after processing is calculated by recycling linear interpolation algorithm accordingly.
Again it is assumed that the corresponding relation such as table 1 below preset between exposure gain ISO and time of exposure T, and gray threshold N and proportion threshold value Ratio of corresponding preview image after Chu Liing:
| ISO | T | Ratio | N | Night scene rank |
| 10 | 10 | 0.1 | 10 | 1 |
| 20 | 20 | 0.2 | 20 | 2 |
| 30 | 30 | 0.3 | 30 | 3 |
| 40 | 40 | 0.4 | 40 | 4 |
| 50 | 50 | 0.5 | 50 | 5 |
| 60 | 60 | 0.6 | 60 | 6 |
| 70 | 70 | 0.7 | 70 | 7 |
| 80 | 80 | 0.8 | 80 | 8 |
Table 1
So, when the exposure gain ISO in the shooting preview image of the terminal obtained is 1280 and time of exposure T is 0.058, first processing the two numerical value, corresponding with above table, the ISO after i.e. processing is 32, and T is 58；
(ISO, T) is regarded the coordinate of any on two dimensional surface as, i.e. table 1 is listed 8 groups of numerical value (10,10) ..., (80,80), and the numerical value of acquired preview image is (32,58)；Subsequently, (32,58) to (10,10) are calculated respectively ... the distance value Distance1 of (80,80) ..., Distance8；
The size of these distance values of multilevel iudge again, obtain two minimum distance values, assume it is Distance4 and Distance5, then two points that distance (32,58) is nearest are (40,40) and (50,50), i.e. can be approximately considered (32,58) and be positioned at (40,40) and between (50,50)；
Calculate distance L between (40,40) and (50,50) again, distance L between (32,58) and (40,40)1, distance L between (32,58) and (50,50)2；
Assume that again L is 100, L1It is 60, L2It is 40, it is possible to utilize formula (1) and formula (2) to obtain N and Ratio corresponding with (32,58)；
Concrete, N=40 (60 ÷ 100) × 10=46；
Ratio=0.4 (60 ÷ 100) × 0.1=0.46.
3rd embodiment
Under practical situation, night scene environment is distinguishing, different night scene environment can corresponding different gray threshold, the preview image obtained also is different.In order to obtain more preferable treatment effect, the embodiment of the present invention also provides for a kind of night scene detection method, including:
S301, obtains the multiple ambient parameters in the shooting preview image of terminal；
S302, according to the plurality of ambient parameter, determines that the environment residing for described terminal is night scene；
S303, presets night scene level relation according to one, determines the night scene rank of environment residing for described terminal；Wherein, described default night scene level relation includes: preset the corresponding relation of gray threshold and night scene rank.
In this embodiment, S301 and S302, it would however also be possible to employ realizing in steps in above-mentioned second embodiment；S303 may include that
S3031, relatively described first gray threshold and the default gray threshold in described default night scene level relation；
S3032, if described first gray threshold is preset gray threshold and presets gray threshold less than or equal to second more than first, determines that the night scene rank of the environment residing for described terminal is that this second presets the night scene rank that gray threshold is corresponding.
Wherein, described default night scene level relation can be found in shown in table 2:
| ISO | T | Ratio | N | Night scene rank |
| ISO_1 | T_1 | R_1 | N_1 | 1 |
| ISO_2 | T_2 | R_2 | N_2 | 2 |
| ISO_3 | T_3 | R_3 | N_3 | 3 |
| ISO_4 | T_4 | R_4 | N_4 | 4 |
| ISO_5 | T_5 | R_5 | N_5 | 5 |
| ISO_6 | T_6 | R_6 | N_6 | 6 |
| ISO_7 | T_7 | R_7 | N_7 | 7 |
| ISO_8 | T_8 | R_8 | N_8 | 8 |
Table 2
When described first gray threshold obtained is N, in order to obtain the night scene rank of the environment residing for terminal, it is necessary to relatively described first gray threshold N and the default gray threshold N_1 in described default night scene level relation ... N_8.
Concrete, as N≤N_1, night scene rank is 1, and as N_1 ＜ N≤N_2, night scene rank is 2 ..., as N_7 ＜ N≤N_8, night scene rank is 8.
Below, with a preferred embodiment, the present invention is described in detail.Fig. 2 represents the flow chart that shooting preview image A carries out night scene detection of the preferred embodiment of the present invention, and shown in Figure 2, described flow process comprises the following steps:
S201: obtain shooting preview image A；
S202: obtain the exposure gain ISO of described preview image A0With time of exposure T0, obtain the grey level histogram of A simultaneously；
S203: according to default exposure gain ISO, time of exposure T, corresponding relation between gray threshold N and proportion threshold value Ratio, utilize linear interpolation algorithm, be calculated and ISO0And T0Corresponding N0And Ratio0；
S204: according to described grey level histogram, obtains gray value ＜ N0Ratio R atioBelowN of number C of total pixel of number Cn and described preview image A of pixel, i.e. RatioBelowN=Cn ÷ C；
S205: judge described Ratio0Whether more than or equal to RatioBelowN；
S206: if RatioBelowN >=Ratio0, it is determined that described preview image A is in night scene environment；
S207: if RatioBelowN is ＜ Ratio0, it is determined that described preview image A is in bright ring border；
S208: when A is in night scene environment, compare N0With the default gray threshold in default night scene level relation, to determine the night scene rank residing for A.
So, by the night scene detection method of the embodiment of the present invention, night scene detection can not only be reduced the probability of erroneous judgement occurs, improve the accuracy of night scene detection, can also be according to default night scene level relation, obtain the night scene rank residing for current night scene environment so that night scene in various degree can obtain preferable treatment effect.
As it is shown on figure 3, the embodiment of the present invention also provides for a kind of terminal, corresponding with the night scene detection method shown in Fig. 1, described terminal includes:
Acquisition module 31, the multiple ambient parameters in the shooting preview image obtaining terminal；
First determines module 32, for according to the plurality of ambient parameter, determines that the environment residing for described terminal is night scene.
By the terminal of the embodiment of the present invention, the multiple ambient parameters in shooting preview image according to terminal, determine that the environment residing for described terminal is night scene, compared to the night scene detection method carried out by single environment parameter in prior art, reduce the probability that erroneous judgement occurs, improve the accuracy of night scene detection.
Concrete, currently judge that the ambient parameter of night scene condition includes exposure parameter and grey level histogram, in embodiments of the present invention, described acquisition module is specifically for obtaining exposure parameter and the grey level histogram of the preview image of the terminal being in environment.
And described first determines that module includes:
First obtains submodule, for according to the corresponding relation between exposure parameter, gray threshold and the proportion threshold value preset, obtaining first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image；
Second obtains submodule, and for according to described grey level histogram, acquisition gray value is less than the ratio of the number of the pixel of described first gray threshold and the number of the pixel of the total of described preview image；
First determines submodule, for according to described ratio and the first proportion threshold value, determines that the environment residing for described terminal is night scene.
Further, described first determines that submodule is specifically for when described ratio is more than or equal to described first proportion threshold value, determining that the environment residing for described terminal is night scene.
So, exposure parameter and the grey level histogram of the preview image of the terminal being in environment are combined, and according to the corresponding relation between default exposure parameter, gray threshold and proportion threshold value, the environment residing for described terminal is judged, improve the accuracy of night scene detection.
In the specific embodiment of the invention, described first obtains submodule specifically for according to the corresponding relation between exposure parameter, gray threshold and the proportion threshold value preset, utilize interpolation algorithm, obtain first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image.
Wherein, in prior art, interpolation algorithm has a variety of, such as linear difference algorithm, quadratic interpolation algorithm etc., and the precision that different interpolation algorithms can realize is different, and time efficiency during operation is also different.For the selection of different interpolation algorithms, be according to current demand, according to logarithm value precision and the requirement of time efficiency.
In the specific embodiment of the invention, described interpolation algorithm is preferably linear interpolation algorithm.
In actual application, described exposure parameter includes exposure gain and time of exposure.
And described first obtain submodule include:
First calculating sub module, for calculating the first gray threshold N corresponding with described exposure gain ISO and time of exposure T of described preview image according to linear interpolation algorithm formula (1)；
Wherein, formula (1) is: N=N1(L1÷L)×△N；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, N1For with (ISO1, T1) corresponding gray threshold, △ to for (ISO1, T1) corresponding gray threshold N1And with (ISO2, T2) corresponding gray threshold N2Difference.
And described first obtain submodule also include:
Second calculating sub module, for calculating first proportion threshold value Ratio corresponding with described exposure gain ISO and time of exposure T of described preview image according to linear interpolation algorithm formula (2)；
Wherein, formula (2) is: Ratio=Ratio1(L1÷L)×△Ratio；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, Ratio1For with (ISO1, T1) corresponding proportion threshold value, △ Ratio is and (ISO1, T1) corresponding proportion threshold value Ratio1And with (ISO2, T2) corresponding proportion threshold value Ratio2Difference.
So, linear interpolation algorithm is utilized just quick can must to calculate first gray threshold corresponding with described exposure gain and time of exposure and first proportion threshold value of described preview image.
Under practical situation, night scene environment is distinguishing, different night scene environment can corresponding different gray threshold, the preview image obtained also is different.
In order to obtain more preferable treatment effect, the terminal of the specific embodiment of the invention also includes:
Second determines module, for presetting night scene level relation according to one, determines the night scene rank of environment residing for described terminal；Wherein, described default night scene level relation includes: preset the corresponding relation of gray threshold and night scene rank.
Further, described second determines that module includes:
Comparison sub-module, for relatively described first gray threshold and the default gray threshold in described default night scene level relation；
Second determines submodule, for when described first gray threshold is preset gray threshold and presets gray threshold less than or equal to second more than first, determines that the night scene rank of the environment residing for described terminal is that this second presets the night scene rank that gray threshold is corresponding.
The terminal of the present invention can be the mobile terminal that mobile phone etc. has photographing module, the embodiment of this terminal, night scene detection can not only be reduced the probability of erroneous judgement occurs, improve the accuracy of night scene detection, can also be according to default night scene level relation, obtain the night scene rank residing for current night scene environment so that night scene in various degree can obtain preferable treatment effect.
The above is only the preferred embodiment of the present invention; it should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (18)
1. a night scene detection method, it is characterised in that including:
Obtain the multiple ambient parameters in the shooting preview image of terminal；
According to the plurality of ambient parameter, determine that the environment residing for described terminal is night scene.
Night scene detection method the most according to claim 1, it is characterised in that the step of the multiple ambient parameters in the shooting preview image of described acquisition terminal includes:
Obtain the exposure parameter in the shooting preview image of terminal and grey level histogram.
Night scene detection method the most according to claim 2, it is characterised in that described according to the plurality of ambient parameter, determines that the environment residing for described terminal is that the step of night scene includes:
According to the corresponding relation between default exposure parameter, gray threshold and proportion threshold value, obtain first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image；
According to described grey level histogram, acquisition gray value is less than the ratio of the number of the pixel of described first gray threshold and the number of the pixel of the total of described preview image；
According to described ratio and the first proportion threshold value, determine that the environment residing for described terminal is night scene.
Night scene detection method the most according to claim 3, it is characterized in that, corresponding relation between exposure parameter, gray threshold and proportion threshold value that described basis is preset, the step of first gray threshold corresponding with described exposure parameter and the first proportion threshold value that obtain described preview image includes:
According to the corresponding relation between default exposure parameter, gray threshold and proportion threshold value, utilize linear interpolation algorithm, obtain first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image.
Night scene detection method the most according to claim 4, it is characterised in that described exposure parameter includes: exposure gain and time of exposure；
The step of first gray threshold corresponding with described exposure gain and time of exposure of the described preview image of described acquisition includes:
The first gray threshold N corresponding with described exposure gain ISO and time of exposure T of described preview image is calculated according to linear interpolation algorithm formula (1)；
Wherein, formula (1) is: N=N1(L1÷L)×△N；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, N1For with (ISO1, T1) corresponding gray threshold, △ N is and (ISO1, T1) corresponding gray threshold N1And with (ISO2, T2) corresponding gray threshold N2Difference.
Night scene detection method the most according to claim 5, it is characterised in that the step of first proportion threshold value corresponding with described exposure gain and time of exposure of the described preview image of described acquisition includes:
First proportion threshold value Ratio corresponding with described exposure gain ISO and time of exposure T of described preview image is calculated according to linear interpolation algorithm formula (2)；
Wherein, formula (2) is: Ratio=Ratio1(L1÷L)×△Ratio；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, Ratio1For with (ISO1, T1) corresponding proportion threshold value, △ Ratio is and (ISO1, T1) corresponding proportion threshold value Ratio1And with (ISO2, T2) corresponding proportion threshold value Ratio2Difference.
Night scene detection method the most according to claim 3, it is characterised in that described according to described ratio with the first proportion threshold value, determines that the environment residing for described terminal is that the step of night scene includes:
If described ratio is more than or equal to described first proportion threshold value, determine that the environment residing for described terminal is night scene.
Night scene detection method the most according to claim 7, it is characterised in that described according to the plurality of ambient parameter, determines that the environment residing for described terminal is also to include after night scene:
Preset night scene level relation according to one, determine the night scene rank of environment residing for described terminal；Wherein, described default night scene level relation includes: preset the corresponding relation of gray threshold and night scene rank.
Night scene detection method the most according to claim 8, it is characterised in that described preset night scene level relation according to one, determines that the step of the night scene rank of the environment residing for described terminal includes:
Relatively described first gray threshold and the default gray threshold in described default night scene level relation；
If described first gray threshold is preset gray threshold and presets gray threshold less than or equal to second more than first, determine that the night scene rank of the environment residing for described terminal is that this second presets the night scene rank that gray threshold is corresponding.
10. a terminal, it is characterised in that including:
Acquisition module, the multiple ambient parameters in the shooting preview image obtaining terminal；
First determines module, for according to the plurality of ambient parameter, determines that the environment residing for described terminal is night scene.
11. terminals according to claim 10, it is characterised in that described acquisition module is specifically for the exposure parameter in the shooting preview image of acquisition terminal and grey level histogram.
12. terminals according to claim 11, it is characterised in that described first determines that module includes:
First obtains submodule, for according to the corresponding relation between exposure parameter, gray threshold and the proportion threshold value preset, obtaining first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image；
Second obtains submodule, and for according to described grey level histogram, acquisition gray value is less than the ratio of the number of the pixel of described first gray threshold and the number of the pixel of the total of described preview image；
First determines submodule, for according to described ratio and the first proportion threshold value, determines that the environment residing for described terminal is night scene.
13. terminals according to claim 12, it is characterized in that, described first obtains submodule specifically for according to the corresponding relation between exposure parameter, gray threshold and the proportion threshold value preset, utilize linear interpolation algorithm, obtain first gray threshold corresponding with described exposure parameter and first proportion threshold value of described preview image.
14. terminals according to claim 13, it is characterised in that described exposure parameter includes: exposure gain and time of exposure；Described first obtains submodule includes:
First calculating sub module, for calculating the first gray threshold N corresponding with described exposure gain ISO and time of exposure T of described preview image according to linear interpolation algorithm formula (1)；
Wherein, formula (1) is: N=N1(L1÷L)×△N；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, N1For with (ISO1, T1) corresponding gray threshold, △ N is and (ISO1, T1) corresponding gray threshold N1 and with (ISO2, T2) corresponding gray threshold N2Difference.
15. terminals according to claim 14, it is characterised in that described first obtains submodule also includes:
Second calculating sub module, for calculating first proportion threshold value Ratio corresponding with described exposure gain ISO and time of exposure T of described preview image according to linear interpolation algorithm formula (2)；
Wherein, formula (2) is: Ratio=Ratio1(L1÷L)×△Ratio；
(ISO, T) is regarded as the coordinate of any on two dimensional surface, and (ISO1, T1) and (ISO2, T2) it is the coordinate of closest with coordinate (ISO, T) on described two dimensional surface 2；
L is (ISO1, T1) and (ISO2, T2Distance between), L1For (ISO1, T1) and (ISO, T) between distance, and ISO1＜ ISO2, Ratio1For with (ISO1, T1) corresponding proportion threshold value, △ Ratio is and (ISO1, T1) corresponding proportion threshold value Ratio1And with (ISO2, T2) corresponding proportion threshold value Ratio2Difference.
16. terminals according to claim 12, it is characterised in that described first determines that submodule is specifically for when described ratio is more than or equal to described first proportion threshold value, determining that the environment residing for described terminal is night scene.
17. terminals according to claim 16, it is characterised in that also include:
Second determines module, for presetting night scene level relation according to one, determines the night scene rank of environment residing for described terminal；Wherein, described default night scene level relation includes: preset the corresponding relation of gray threshold and night scene rank.
18. terminals according to claim 17, it is characterised in that described second determines that module includes:
Comparison sub-module, for relatively described first gray threshold and the default gray threshold in described default night scene level relation；
Second determines submodule, for when described first gray threshold is preset gray threshold and presets gray threshold less than or equal to second more than first, determines that the night scene rank of the environment residing for described terminal is that this second presets the night scene rank that gray threshold is corresponding.
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