CN109886920A - A kind of greasy weather stage division, greasy weather hierarchy system - Google Patents
A kind of greasy weather stage division, greasy weather hierarchy system Download PDFInfo
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Abstract
The present invention relates to a kind of greasy weather stage divisions, greasy weather hierarchy system.The method includes pre-establishing the step of being directed to the greasy weather hierarchy model of non-sky area in fixed time period；The step of obtaining background haze value according to the pixel value of input picture；The step of obtaining current haze value according to the pixel value of input picture；The step of calculating fog coefficient, determining greasy weather rank.The method of the invention adapts to various scenes, timely and accurately carries out classification and early warning to the weather condition under the scene or point.
Description
Technical field
The present invention relates to image analysis technology field, in particular to a kind of greasy weather stage division, greasy weather hierarchy system.
Background technique
Mist is made of water droplet, is formed by the condensation of steam, is the product of steam phase transition process.Especially the spring,
Two season of winter, foggy weather was especially prominent, and met atmospheric temperature mutation again after mainly reaching a certain level because of surface humidity and drawn
The radiation fog risen.Since fog scatters light, and light can be absorbed, On The Deterioration of Visibility Over, driver do not see front and
The case where surrounding, cause to estimate spacing, speed inaccuracy, difficulty is generated to traffic sign, pavement facilities identification, it is easy to form to chase after
Tail accident.
According to road surface control test under severe weather conditions, the weather of visibility is influenced on dense fog, heavy rain etc. is met, according to
State of visibility can be divided into four kinds of control ranks.First is that three-level control: not limiting current car type, carry out three-level control.Interim limit
80 kilometers/hour of speed；Second is that second level control: visibility carries out second level control at 50 meters or more 100 meters or less.Control section
Hazardous materials transportation vehicle, " three surpassing " vehicle and heavily loaded large-sized truck is forbidden to drive into highway, control section temporary speed limitation 60 is public
In/hour；Passing vehicle must be turned on fog lamp and dipped headlight, clearance lamps, anteroposterior position lamp, and following distance is kept to be not less than 50 meters；Three
Be level-one control: visibility carries out level-one control at 30 meters or more 50 meters or less.
Currently, applicating atmosphere knowledge technology, can do forecast and early warning to a certain extent, however, meteorological to the greasy weather
Observation device is built costly；And the case where being also biggish range, can not judge specific section of early warning.It is asked for this
Topic, it is necessary to invent the greasy weather stage division based on dark channel prior knowledge, it is therefore an objective to can in time and accurately provide specific
The dense fog weather rating information of point.
Summary of the invention
It is an object of the invention to overcome the above-mentioned deficiency in the presence of the prior art, provide a kind of greasy weather stage division and
Greasy weather hierarchy system.Described method includes following steps:
The greasy weather hierarchy model for specific non-sky area in fixed time period is pre-established, which has determined difference
The greasy weather of rank and corresponding fog coefficient.
It receives under the fogless weather of non-sky area under with multiple input pixels, Same Scene or camera point
Image obtains background haze value according to the pixel value of input picture.
The non-sky area received under with multiple input pixels, Same Scene or camera point has under greasy weather gas
Image obtains current haze value according to the pixel value of input picture.
Fog coefficient is calculated, determines greasy weather rank.
Further, the method for background haze value is obtained specifically: under Same Scene or camera point, when establishing specific
Between fogless weather under non-sky area background model, that is, obtain image under fogless weather, the fogless weather following figure be calculated
That minimum color channel values, constitute the gray level image of the picture in the RGB color channel of picture, and calculate the pixel of the image
Gray average, as the background haze value for comparison, calculation formula are as follows:
Wherein, Pij(R)、Pij(G)、Pij(B) channel R pixel value, the G of image the i-th row jth column under fogless weather are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
Further, the method for current haze value is obtained specifically: in the greasy weather for wanting acquisition fog coefficient, obtain Same Scene
Or the picture under camera point, that Color Channel minimum in the RGB color channel of image under greasy weather gas is calculated
Value, constituting has the gray level image of image under greasy weather gas, and calculates the pixel grey scale mean value for having image under greasy weather gas, as pair
The current haze value of ratio, calculation formula are as follows:
Wherein, Pij(R)、Pij(G)、Pij(B) channel R pixel value, the G that image is arranged in the i-th row jth under greasy weather gas are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
Further, the calculation formula of fog coefficient are as follows:
Further, in greasy weather hierarchy model, greasy weather rank includes fogless, mist, middle mist, thick fog, corresponding fog coefficient
Respectively be more than or equal to 0 and less than 0.1, more than or equal to 0.1 and less than 0.25, more than or equal to 0.25 and less than 0.5, be more than or equal to
0.5。
The invention also discloses a kind of greasy weather hierarchy systems, including memory module, image capture module, data processing mould
Block.It is also preferable to include result display modules.
The memory module is configured as the mapping table of implantation greasy weather rank and fog coefficient.
Described image acquisition module is configured as acquiring with multiple input pixels, Same Scene or camera point
Under the fogless weather of non-sky area under image；And acquire with multiple input pixels, Same Scene or camera point
Non-sky area under position has the image under greasy weather gas.
The data processing module is configured as the pixel value of the image input picture according to fogless weather, obtains background
Haze value, and according to the pixel value for the image input picture for having greasy weather gas, obtain current haze value；And according to current haze value and background
Haze value calculates fog coefficient, to match corresponding greasy weather rank.
Further, the calculation method of background haze value are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel the R pixel value, G that image the i-th row jth arranges under fogless weather are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and M is the pixel number of each column.
Further, the calculation method of current haze value are as follows:
Wherein, Pij(R)、Pij(G)、Pij(B) channel the R pixel value, G that image the i-th row jth arranges in the case where there is greasy weather gas are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
Further, the calculation formula of fog coefficient are as follows:
Further, greasy weather rank includes fogless, mist, middle mist, thick fog, and corresponding fog coefficient is respectively to be more than or equal to 0
And less than 0.1, be more than or equal to 0.1 and less than 0.25, be more than or equal to 0.25 and less than 0.5, be more than or equal to 0.5.
The invention has the benefit that
1, the method for the invention adapts to various scenes, timely and accurately to the weather feelings under the scene or point
Condition carries out classification and early warning.
2, the settable any time node of the present invention, whole process are automatically processed, are used manpower and material resources sparingly.
3, it can be obtained without networking or accessing any weather data as a result, at low cost and high-efficient.
Detailed description of the invention
Fig. 1 is the method flow chart.
Specific embodiment
With reference to the accompanying drawing and specific embodiment the present invention is described in further detail.But this should not be interpreted as to this
The range for inventing above-mentioned theme is only limitted to embodiment below, all to belong to the present invention based on the technology that the content of present invention is realized
Range.
The total technical concept of the present invention is to obtain dark channel prior knowledge, i.e., in nature based on statistics and common sense judgement
In the non-sky area of most of fog free images, image is color image, or since there is various yin for the factor of illumination
Shadow, causing in pixel at least to there are a color channel values is low-down brightness value；And at the greasy weather, the smallest a color
Channel value is relatively high.
Greasy weather stage division is illustrated below with reference to Fig. 1.Described method includes following steps:
Step 1: pre-establishing the greasy weather hierarchy model for non-sky area specific in fixed time period, and the model is true
Determined different stage greasy weather and corresponding fog coefficient.
Region and period applied by this method can according to need setting.
In the greasy weather hierarchy model, the quantity of greasy weather rank, which can according to need, to be configured.In the present embodiment, the greasy weather
Rank includes fogless, mist, middle mist, thick fog, corresponding fog coefficient be respectively be more than or equal to 0 and less than 0.1, be more than or equal to 0.1
And less than 0.25, be more than or equal to 0.25 and less than 0.5, be more than or equal to 0.5.
Step 2: the non-sky area received under with multiple input pixels, Same Scene or camera point is fogless
Image under weather obtains background haze value according to the pixel value of input picture.
This step specifically: under Same Scene or camera point, establish non-sky under the fogless weather of specific time
The background model in region obtains image under fogless weather, be calculated minimum in the RGB color channel of image under fogless weather
That color channel values, the gray level image of the picture is constituted, and calculate the pixel grey scale mean value of the image, as comparing
Background haze value, calculation formula are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel R pixel value, the G of image the i-th row jth column under fogless weather are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
Step 3: the non-sky area received under with multiple input pixels, Same Scene or camera point has mist
Image under weather obtains current haze value according to the pixel value of input picture.
Specifically: in the greasy weather for wanting acquisition fog coefficient, the picture under Same Scene or camera point is obtained, is calculated
That minimum color channel values into the RGB color channel for have image under greasy weather gas constitute the gray scale for having image under greasy weather gas
Image, and the pixel grey scale mean value for having image under greasy weather gas is calculated, as the current haze value for comparison, calculation formula are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel R pixel value, the G that image is arranged in the i-th row jth under greasy weather gas are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
Step 4: current haze value and background haze value are made the difference, and are normalized.
Step 5: normalized value determines greasy weather rank according to greasy weather hierarchy model as fog coefficient.
For the technical concept that the above method is embodied, the present invention also provides a kind of greasy weather hierarchy systems, carry out below
It is discussed in detail.
The system comprises memory module, image capture module, data processing module, result display modules, further preferably wrap
Include display module.
The memory module is configured as the mapping table of implantation greasy weather rank and fog coefficient.The mapping table reflects mist
Its rank and its corresponding fog coefficient.The setting of mapping table is according to the environment setting for applying area.In the present embodiment, mist
Its rank includes fogless, mist, middle mist, thick fog, corresponding fog coefficient is respectively 0~0.1,0.1~0.25,0.25~0.49, >
0.5。
Described image acquisition module is configured as acquiring with multiple input pixels, Same Scene or camera point
Under the fogless weather of non-sky area under image；And acquire with multiple input pixels, Same Scene or camera point
Non-sky area under position has the image under greasy weather gas.
The data processing module is configured as the pixel value of the image input picture according to fogless weather, obtains background
Haze value, and according to the pixel value for the image input picture for having greasy weather gas, obtain current haze value；And according to current haze value and background
Haze value calculates fog coefficient, to match corresponding greasy weather rank.
The calculation formula of background haze value are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel R pixel value, the G of image the i-th row jth column under fogless weather are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
The calculation formula of current haze value are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel R pixel value, the G that image is arranged in the i-th row jth under greasy weather gas are indicated
The pixel value of channel pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
The calculation formula of current fog coefficient are as follows:
The display module can use existing equipment as needed, for showing the operation result of data processing module.
Claims (10)
1. a kind of greasy weather stage division, which comprises the steps of:
The greasy weather hierarchy model for specific non-sky area in fixed time period is pre-established, which has determined different stage
Greasy weather and corresponding fog coefficient；
It receives under the fogless weather of non-sky area under with multiple input pixels, Same Scene or same camera point
Image obtains background haze value according to the pixel value of input picture；
The non-sky area received under with multiple input pixels, Same Scene or same camera point has under greasy weather gas
Image obtains current haze value according to the pixel value of input picture；
Fog coefficient is calculated, determines greasy weather rank.
2. greasy weather stage division as described in claim 1, which is characterized in that the method for obtaining background haze value specifically: same
Under one scene or camera point, the background model of non-sky area under the fogless weather of specific time is established, that is, is obtained fogless
Image under weather is calculated that color channel values minimum in the RGB color channel of image under fogless weather, constitutes the figure
The gray level image of piece, and the pixel grey scale mean value of the image is calculated, as the background haze value for comparison, calculation formula are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel R pixel value, the channel G of image the i-th row jth column under fogless weather are indicated
The pixel value of pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
3. greasy weather stage division as claimed in claim 2, which is characterized in that the method for obtaining current haze value specifically: be intended to
The time of fog coefficient is obtained, the picture under Same Scene or camera point is obtained, image under greasy weather gas is calculated
That minimum color channel values in RGB color channel constitute the gray level image for having image under greasy weather gas, and calculating has greasy weather gas
The pixel grey scale mean value of lower image, as the current haze value for comparison, calculation formula are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel the R pixel value that image is arranged in the i-th row jth under greasy weather gas, the channel G are indicated
The pixel value of pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
4. greasy weather stage division as claimed in claim 3, which is characterized in that the calculation formula of current fog coefficient are as follows:
5. greasy weather stage division as described in claim 1 or 4, which is characterized in that in greasy weather hierarchy model, greasy weather rank includes
Fogless, mist, middle mist, thick fog, corresponding fog coefficient are respectively to be more than or equal to 0 and less than 0.1, more than or equal to 0.1 and be less than
0.25, be more than or equal to 0.25 and less than 0.5, be more than or equal to 0.5.
6. a kind of greasy weather hierarchy system, which is characterized in that including memory module, image capture module, data processing module, result
Display module；
The memory module is configured as the mapping table of implantation greasy weather rank and fog coefficient；
Described image acquisition module is configured as acquiring under with multiple input pixels, Same Scene or camera point
Image under the fogless weather of non-sky area；And it acquires under with multiple input pixels, Same Scene or camera point
Non-sky area have the image under greasy weather gas；The data processing module is configured as being inputted according to the image of fogless weather
The pixel value of image obtains background haze value, and according to the pixel value for the image input picture for having greasy weather gas, obtains current mist
Value；And according to current haze value and background haze value, fog coefficient is calculated, to match corresponding greasy weather rank.
7. greasy weather hierarchy system as claimed in claim 6, which is characterized in that the calculation method of background haze value are as follows:
Wherein, Pij(R)、PiJ(G)、PiJ(B) channel the R pixel value that image the i-th row jth arranges under fogless weather, the channel G are indicated
The pixel value of pixel value, channel B, n are the pixel number of every row, and M is the pixel number of each column.
8. greasy weather hierarchy system as claimed in claim 7, which is characterized in that the calculation method of current haze value are as follows:
Wherein, Pij(R)、Pij(G)、Pij(B) channel the R pixel value that image the i-th row jth arranges in the case where there is greasy weather gas, the channel G are indicated
The pixel value of pixel value, channel B, n are the pixel number of every row, and m is the pixel number of each column.
9. greasy weather hierarchy system as claimed in claim 8, which is characterized in that normalized calculation formula are as follows:
10. the greasy weather stage division as described in claim 6 or 9, which is characterized in that greasy weather rank include fogless, mist, in
Mist, thick fog, corresponding fog coefficient be respectively be more than or equal to 0 and less than 0.1, more than or equal to 0.1 and less than 0.25, be more than or equal to
0.25 and less than 0.5, be more than or equal to 0.5.
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