CN110097595A - A kind of all types of land area statistical methods in traffic zone based on image procossing - Google Patents
A kind of all types of land area statistical methods in traffic zone based on image procossing Download PDFInfo
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- CN110097595A CN110097595A CN201910285802.4A CN201910285802A CN110097595A CN 110097595 A CN110097595 A CN 110097595A CN 201910285802 A CN201910285802 A CN 201910285802A CN 110097595 A CN110097595 A CN 110097595A
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Abstract
The invention discloses a kind of all types of land area statistical methods in traffic zone based on image procossing, include the following steps, (A) reads each pixel rgb value of urban land_use plan figure, and is stored as pixel data file;(B) pixel information data file is pre-processed;(C) boundary dot file, node coordinate file and the plot area file of cell are read;It (D) is pixel coordinate by the boundary point coordinate transformation of cell;(E) judge that pixel whether in cell, and counts in cell pixel sum and all types of land used pixel numbers;(F) its land area is calculated according to land-use style pixel proportion each in cell.The present invention can rapidly, accurately count all types of land areas of planning time limit traffic zone, provide support for Urban Traffic Planning.
Description
Technical field
The present invention relates to traffic zone land area programming count technologies, belong to Urban Traffic Planning technical field, especially
It is to be related to a kind of all types of land area statistical methods in the traffic zone based on image procossing.
Background technique
There is complicated correlations between urban transportation and land use.Land use determines to a certain extent
Generation, attraction, distribution and the mode of urban transportation select, and then determine Urban traffic demand and its tactic pattern.Related portion
The Methods of Urban Land-use Planning figure of distribution cloth contains the information of all types of lands used in city, but each in artificial statistics traffic zone
Type land area requires a great deal of time and manpower.With the continuous development of computer technology, currently, from technological layer
On have been realized in from the coordinate and rgb value for reading pixel on picture and store into array, and in urban land use
In planning chart, same type of land used is indicated with identical color, this to count all types of use in cell by program
Ground area is possibly realized.In consideration of it, the method for the present invention proposes, a kind of traffic zone based on image procossing is all types of to use ground
Product statistical method, this method read the coordinate and rgb value of pixel from the Methods of Urban Land-use Planning figure in relation to part publication,
Construct urban land information elementary file, all types of land used number of corresponding pixels inside statistics traffic zone, according to certain class
The corresponding pixel proportion of type land used calculates its area, can accurately, rapidly count all cell different land use classes
The area of type.
Summary of the invention
In order to solve problem above, the present invention provides a kind of all types of land area systems in the traffic zone based on image procossing
It is all types of can fast and accurately to count cell for meter method, the urban land_use plan figure that the present invention is issued according to relevant department
Land area, for this purpose, the present invention provides a kind of all types of land area statistics sides in the traffic zone based on image procossing
Method, comprising the following steps:
(A) each pixel rgb value of urban land_use plan figure is read, and is stored as pixel data file;
(B) pixel data file is pre-processed;
(C) boundary dot file, boundary point coordinate file and the plot area file of cell are read;,
It (D) is pixel coordinate by the boundary point coordinate transformation of cell;
(E) judge that pixel whether in cell, and counts in cell pixel sum and all types of land used pixels
Number;
(F) its land area is calculated according to land-use style pixel proportion each in cell.
Further improvement of the present invention, pixel data file described in step (A), including pixel message file and
Land-use style message file.
Further improvement of the present invention includes pixel coordinate and pixel rgb value, institute in the pixel message file
It include land-use style and its corresponding rgb value in the land-use style message file stated.
Further improvement of the present invention, pixel data file described in step (B) carry out preprocessing process, can be used as
Lower method determines rgb value range corresponding to different land use type, for the RGB value within the scope of a certain land-use style,
It is enabled to be equal to rgb value corresponding to the type land used in land-use style message file.
Further improvement of the present invention, cell boarder dot file described in step (C) include cell number and cell side
Boundary's point numbered list;Boundary point coordinate file includes boundary point number and boundary point coordinate;Plot area file includes that cell is compiled
Number and plot area.
Further improvement of the present invention, described in step (D) by the boundary point coordinate transformation of cell be pixel coordinate,
The following steps are included:
(D1) three characteristic points 1,2,3 not on the same line are chosen, boundary point coordinate is respectively (x1,y1)、
(x2,y2)、(x3,y3), pixel coordinate is respectively (x1′,y1′)、(x2′,y2′)、(x3′,y3′);
(D2) Two coordinate system X and the corresponding stretch ratio T (x) of Y-axis and T (y) are calculated:
(D3) all cell boarder points are zoomed in pixel coordinate system according to step (D2) stretch ratio calculated:
(D4) the rotation angle, θ, X-axis offset a and Y-axis offset b of coordinates computed system:
xs=x ' cos (θ)+y ' sin (θ)+a;
ys=y ' cos (θ)-x ' sin (θ)+b;
The boundary point coordinate and pixel coordinate for bringing characteristic point 1,2,3 into, can acquire the value of θ, a and b;
(D5) the pixel coordinate of each boundary point is calculated:
Further improvement of the present invention judges that pixel whether in cell, and counts in cell described in step (E)
Pixel sum and all types of land used pixel numbers the following steps are included:
(E1) all pixels point is traversed, does a ray by starting point of pixel;
(E2) number of judgment step (E1) done ray and cell boarder intersection point, if the intersection point of the ray and cell boarder
Number is odd number, then pixel turns now to step (E3) in cell, otherwise, shows that pixel outside cell, starts under judgement
One pixel turns now to step (E1);
(E3) pixel sum in cell is added 1, and judges the corresponding land-use style of pixel, by the type land used pixel
Point sum plus 1.
Further improvement of the present invention, according to land-use style pixel proportion meter each in cell described in step (F)
It calculates its land area following formula can be used and calculated:
The invention discloses a kind of all types of land area statistical methods in traffic zone based on image procossing, including it is following
Step, (A) read each pixel rgb value of urban land_use plan figure, and are stored as pixel data file;(B) to pixel
Point information data file is pre-processed;(C) boundary dot file, node coordinate file and the plot area text of cell are read
Part;It (D) is pixel coordinate by the boundary point coordinate transformation of cell;(E) judge that pixel whether in cell, and counts cell
Interior pixel sum and all types of land used pixel numbers;(F) according to land-use style pixel proportion meter each in cell
Calculate its land area.The present invention can rapidly, accurately count all types of land areas of planning time limit traffic zone, be city
City's traffic programme provides support.
Detailed description of the invention
Fig. 1 is pixel institute injection line in the method for the present invention and cell boarder intersection point schematic diagram;
Fig. 2 is urban land_use plan figure in the method for the present invention instance analysis;
Fig. 3 makees ray and cell boarder intersection point schematic diagram by pixel (0,0) in the method for the present invention instance analysis;
Fig. 4 is the basic flow chart of the method for the present invention.
Specific embodiment
Present invention is further described in detail with specific embodiment with reference to the accompanying drawing:
The present invention provides a kind of all types of land area statistical methods in the traffic zone based on image procossing, the present invention according to
The urban land_use plan figure of relevant department's publication, can fast and accurately count all types of land areas of cell.
A kind of present invention all types of land area statistical method basic flow chart such as Fig. 1 in traffic zone based on image procossing
It is shown, comprising the following steps:
(A) each pixel rgb value of urban land_use plan figure is read, and is stored as pixel data file;
The pixel data file, including pixel message file and land-use style message file;
It include pixel coordinate and pixel rgb value, storage mode such as 1 institute of table in the pixel message file
Show, include land-use style and rgb value in the land-use style message file, storage mode is as shown in table 2;
1 pixel information data storing structural representation table of table
Pixel coordinate x | Pixel coordinate y | Rgb value |
1 | 1 | (255,255,255) |
….. | ….. | ….. |
2 land-use style information data memory structure schematic table of table
Land-use style | Rgb value |
Residential estate | (100,100,255) |
….. | ….. |
(B) pixel information data file is pre-processed;
The pixel data file carries out preprocessing process, and following method can be used, determine all kinds of land-use style institutes
Corresponding rgb value range;For the rgb value within the scope of a certain land-use style, it is enabled to be equal to land-use style institute in table 2 right
The rgb value answered;
(C) boundary dot file, node coordinate file and the plot area file of cell are read;
The cell boarder dot file includes cell number and cell boarder point numbered list, storage mode such as table 3
Shown, boundary point coordinate file includes boundary point number and boundary point coordinate, and storage mode is as shown in table 4, plot area text
Part includes cell number and plot area, and storage mode is as shown in table 5;
3 cell boarder point information data storing structural representation table of table
4 boundary point essential information data store organisation schematic table of table
Boundary point number | Boundary point coordinate x | Boundary point coordinate y |
1 | 10.0 | 11.0 |
….. | ….. | ….. |
5 plot area data storage structure schematic table of table
Cell number | Plot area |
1 | 12245 |
….. | ….. |
It (D) is pixel coordinate by the boundary point coordinate transformation of cell;
The boundary point coordinate transformation by cell is pixel coordinate, comprising the following steps:
(D1) three characteristic points 1,2,3 not on the same line are chosen, boundary point coordinate is respectively (x1,y1)、
(x2,y2)、(x3,y3), pixel coordinate is respectively (x1',y1')、(x2',y2')、(x3',y3');
(D2) Two coordinate system X and the corresponding stretch ratio T (x) of Y-axis and T (y) are calculated:
(D3) all cell boarder points are zoomed in pixel coordinate system according to step (D2) stretch ratio calculated:
(D4) the rotation angle, θ, X-axis offset a and Y-axis offset b of coordinates computed system:
xs=x ' cos (θ)+y ' sin (θ)+a
ys=y ' cos (θ)-x ' sin (θ)+b
The boundary point coordinate and pixel coordinate for bringing characteristic point 1,2,3 into, can acquire the value of θ, a and b;
(D5) the pixel coordinate of each boundary point is calculated:
(E) judge that pixel whether in cell, and counts in cell pixel sum and all types of land used pixels
Number;
It is described to judge that pixel whether in cell, and counts pixel sum and all types of land used pixels in cell
Point number the following steps are included:
(E1) all pixels point is traversed, does a ray by starting point of pixel;
(E2) number of judgment step (E1) done ray and cell boarder point, if the number of hits of the ray and cell boarder
For odd number, as shown in Fig. 1 (b), then pixel turns now to step (E3) in cell, otherwise, as shown in Fig. 1 (a), pixel
Point starts to judge next pixel, turns now to step (E1) outside cell;
(E3) pixel sum in cell is added 1, and judges the corresponding land-use style of pixel, by the type land used pixel
Point sum plus 1;
(F) its land area is calculated according to land-use style pixel proportion each in cell;
It is described its land area to be calculated according to land-use style pixel proportion each in cell following formula can be used
It is calculated:
The method of the present invention is illustrated using urban land_use plan figure shown in Fig. 2:
(A) each pixel rgb value of urban land_use plan figure is read, and is stored as pixel data file;
Pixel data file is constructed, wherein pixel information data is as shown in table 1, land-use style information data such as table 2
It is shown;
1 pixel message store table of table
2 land-use style information data storing table of table
(B) pixel information data file is pre-processed;Wherein the rgb value range of residential estate be (250 ± 5,
192 ± 5,0), the rgb value range of industrial land be (146 ± 5,208 ± 5,80 ± 5), the range of other lands used be (197 ±
5,90 ±5,17±5).For the rgb value within the scope of a certain land-use style, it is enabled to be equal to land-use style institute in table 2 right
The rgb value answered, the results are shown in Table 3 after processing;
Pixel message store table after table 3 pre-processes
(C) boundary dot file, boundary point coordinate file and the plot area file for reading cell, as a result such as 4-table of table, 6 institute
Show;
4 cell boarder point data table of table
5 boundary point Basic Information Table of table
Boundary point number | Boundary point coordinate x | Boundary point coordinate y |
0 | 8.0 | 8.0 |
1 | 8.0 | 38.0 |
2 | 38.0 | 38.0 |
3 | 38.0 | 8.0 |
6 plot area tables of data of table
Cell number | Plot area |
1 | 12580 |
It (D) is pixel coordinate by the boundary point coordinate transformation of cell;
(D1) choose three characteristic points 0,1,2 not on the same line, boundary point coordinate be respectively (8.0,8.0),
(8.0,38.0), (38.0,38.0), it is assumed that its corresponding pixel coordinate be respectively (0.5,0.5), (0.5,3.5), (3.5,
3.5);
(D2) Two coordinate system X and the corresponding stretch ratio T (x) of Y-axis and T (y) are calculated:
(D3) all cell boarder points are zoomed in pixel coordinate system according to step (D2) stretch ratio calculated,
The results are shown in Table 6;
Table 7 scales back boundary point Basic Information Table
(D4) the rotation angle, θ, X-axis offset a and Y-axis offset b of coordinates computed system:
X=x ' cos (θ)+y ' sin (θ)+a
Y=y ' cos (θ)-x ' sin (θ)+b
Bring the boundary point coordinate and pixel coordinate of characteristic point 1,2,3 into, the value for acquiring θ, a and b is as shown in table 6;
8 coordinate transformation parameter table of table
Parameter | Parameter value |
θ | 0 |
a | 0.3 |
b | 0.3 |
(D5) the pixel coordinate of each boundary point is calculated, the results are shown in Table 7:
9 coordinate of table converts back boundary point Basic Information Table
Boundary point number | Boundary point coordinate x | Boundary point coordinate y |
0 | 0.5 | 0.5 |
1 | 0.5 | 3.5 |
2 | 3.5 | 3.5 |
3 | 3.5 | 0.5 |
(E) judge that pixel whether in cell, and counts in cell pixel sum and all types of land used pixels
Number;By storage order of the pixel in pixel message store table, judge one by one:
(E1) ray is done for starting point with pixel (0,0) as shown in Figure 3;
(E2) judging to show that the number of step (E1) done ray and cell boarder point is 2, intersection point number is not odd number, as
Vegetarian refreshments (0,0) goes to step (E1) not in cell;
Replace pixel, repeat step (E1), (E2), it can be found that pixel (0,1), (0,2), (0,3), (1,
0) not in traffic zone.
With pixel (1,1) for starting point, execute step (E1):
(E2) judgement show that step (E1) with the number of hits that pixel (1,1) does ray and cell boarder by starting point is 1,
Intersection point number is odd number, and pixel (1,1) is in cell, and execute step (E3): pixel sum adds 1 in cell, pixel
The other lands used of (1,1) corresponding land-use style, then the corresponding pixel number of other lands used adds 1;
Above-mentioned steps are repeated, until having judged all pixels point, finally obtaining pixel sum in cell is 9, is occupied
Firmly land used pixel number is 0, and industrial land pixel number is 4, and other land used pixel numbers are 5;
(F) its land area is calculated according to land-use style pixel proportion each in cell;
The above described is only a preferred embodiment of the present invention, being not the limit for making any other form to the present invention
System, and made any modification or equivalent variations according to the technical essence of the invention, still fall within present invention model claimed
It encloses.
Claims (8)
1. a kind of all types of land area statistical methods in traffic zone based on image procossing, which is characterized in that including following step
It is rapid:
(A) each pixel rgb value of urban land_use plan figure is read, and is stored as pixel data file;
(B) pixel data file is pre-processed;
(C) boundary dot file, boundary point coordinate file and the plot area file of cell are read;
It (D) is pixel coordinate by the boundary point coordinate transformation of cell;
(E) judge that pixel whether in cell, and counts in cell pixel sum and all types of land used pixel numbers;
(F) its land area is calculated according to land-use style pixel proportion each in cell.
2. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
It is characterized in that: pixel data file described in step (A), including pixel message file and land-use style message file.
3. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 2,
It is characterized in that: including pixel coordinate and pixel rgb value, the land-use style information text in the pixel message file
It include land-use style and its corresponding rgb value in part.
4. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
Be characterized in that: pixel data file described in step (B) carries out preprocessing process, and following method can be used, determine different use
Rgb value range corresponding to ground type enables it believe equal to land-use style the rgb value within the scope of a certain land-use style
Cease rgb value corresponding to the type land used in file.
5. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
Be characterized in that: cell boarder dot file described in step (C) includes cell number and cell boarder point numbered list;Boundary point
Coordinate file includes boundary point number and boundary point coordinate;Plot area file includes cell number and plot area.
6. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
Be characterized in that: described in step (D) by the boundary point coordinate transformation of cell be pixel coordinate, comprising the following steps:
(D1) three characteristic points 1,2,3 not on the same line are chosen, boundary point coordinate is respectively (x1,y1)、(x2,y2)、
(x3,y3), pixel coordinate is respectively (x1′,y1′)、(x2′,y2′)、(x3′,y3′);
(D2) Two coordinate system X and the corresponding stretch ratio T (x) of Y-axis and T (y) are calculated:
(D3) all cell boarder points are zoomed in pixel coordinate system according to step (D2) stretch ratio calculated:
(D4) the rotation angle, θ, X-axis offset a and Y-axis offset b of coordinates computed system:
xs=x ' cos (θ)+y ' sin (θ)+a;
ys=y ' cos (θ)-x ' sin (θ)+b;
The boundary point coordinate and pixel coordinate for bringing characteristic point 1,2,3 into, can acquire the value of θ, a and b;
(D5) the pixel coordinate of each boundary point is calculated:
7. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
It is characterized in that: judging that pixel whether in cell, and counts in cell pixel sum and all kinds of described in step (E)
Type land used pixel number the following steps are included:
(E1) all pixels point is traversed, does a ray by starting point of pixel;
(E2) number of judgment step (E1) done ray and cell boarder intersection point, if the number of hits of the ray and cell boarder is
Odd number, then pixel turns now to step (E3) in cell, otherwise, shows pixel outside cell, starts to judge next
Pixel turns now to step (E1);
(E3) pixel sum in cell is added 1, and judges the corresponding land-use style of pixel, the type land used pixel is total
Number plus 1.
8. all types of land area statistical methods in a kind of traffic zone based on image procossing according to claim 1,
Be characterized in that: calculating its land area according to land-use style pixel proportion each in cell described in step (F) can be used
Following formula is calculated:
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