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Traffic zone various types of land areas statistical method based on image processing

A technology of traffic area and image processing, which is applied in image data processing, image analysis, calculation, etc., and can solve problems such as costing a lot of time and manpower

Active Publication Date: 2019-08-06
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The urban land use planning map released by relevant departments contains information on various types of land use in the city, but it takes a lot of time and manpower to manually count the area of ​​various types of land use in the traffic area

Method used

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  • Traffic zone various types of land areas statistical method based on image processing
  • Traffic zone various types of land areas statistical method based on image processing
  • Traffic zone various types of land areas statistical method based on image processing

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0039] The invention provides an image processing-based statistical method for various types of land use areas in traffic districts. According to the urban land use planning map released by relevant departments, the invention can quickly and accurately count the land use areas of various types in the district.

[0040] The basic flow chart of a statistical method for various types of land use areas in traffic districts based on image processing in the present invention is as follows: figure 1 shown, including the following steps:

[0041] (A) read the RGB value of each pixel of the urban land use planning map, and store it as a pixel data file;

[0042] The pixel point data file includes a pixel point information file and a land use type information file;

[0043] The pixel point information file includes pixel point coordinates and pixel poin...

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Abstract

The invention discloses a traffic zone various types of land areas statistical method based on image processing, comprising the following steps: (A) reading RGB values of each pixel point of an urbanland planning map, and storing the RGB values as pixel point data files; (B) preprocessing the pixel point information data file; (C) reading a boundary point file, a node coordinate file and a cell area file of the cell; (D) converting the boundary point coordinates of the cell into pixel point coordinates; (E) judging whether the pixel points are in a cell or not, and counting the total number of the pixel points in the cell and the number of the land pixel points of each type; and (F) calculating the land use area according to the proportion of each land use type pixel point in the cell. According to the method, the land areas of various types of traffic zones with planned years can be rapidly and accurately counted, and support is provided for urban traffic planning.

Description

technical field [0001] The invention relates to an automatic statistical technique for the land use area of ​​a traffic district, and belongs to the technical field of urban traffic planning, in particular to an image processing-based statistical method for various types of land use areas in a traffic district. Background technique [0002] There are complex interrelationships between urban transportation and land use. To a certain extent, land use determines the occurrence, attraction, distribution and mode selection of urban traffic, and then determines the urban traffic demand and its structural model. The urban land use planning map released by relevant departments contains information on various types of land use in the city, but manual statistics of the area of ​​various types of land use in traffic districts takes a lot of time and manpower. With the continuous development of computer technology, at present, from the technical level, it has been realized to read the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/62
CPCG06T7/62
Inventor 王炜戴随喜杨洋陈坦
Owner SOUTHEAST UNIV