Road semiautomatic extraction method based on wavelet detection and ridge line tracking

An extraction method, a semi-automatic technology, applied in the field of image processing, can solve problems such as inability to achieve effective extraction, low robustness, and poor real-time performance, and achieve the effects of good direction changes, overcoming errors, and improving accuracy

Active Publication Date: 2010-12-15
XIDIAN UNIV
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Problems solved by technology

[0005] The above semi-automatic road extraction methods are all achieved by calculating the feature information of the road, such as contour features, gray features, and gradient features. It can achieve better extraction re

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  • Road semiautomatic extraction method based on wavelet detection and ridge line tracking
  • Road semiautomatic extraction method based on wavelet detection and ridge line tracking
  • Road semiautomatic extraction method based on wavelet detection and ridge line tracking

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[0028] Reference figure 1 The specific implementation steps of the present invention are as follows:

[0029] Step 1. Input the remote sensing road image X, and input the search point point on the road center line of the image s , And the direction point d .

[0030] Step 2: Remove the highlight interference on the input remote sensing road image X.

[0031] In the remotely sensed road image X, there are high-brightness interferences such as vehicles, and it is necessary to perform the road extraction after the area growth filter processing. In the remotely sensed road image X, the point is searched s The search window win1 is generated as the center, and its size is set to 12*12, and the filter processing is grown for the row area of ​​the search window win1 to smoothly extract the highlight interference existing near the target:

[0032] First, in the search window, extract the bright spots whose gray value is higher than the threshold T, T=165, use the extracted bright spots as see...

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Abstract

The invention discloses a road semiautomatic extraction method based on wavelet detection and ridge line tracking, which mainly solves the problem that the prior road extraction method can not quickly and accurately extract curved roads. The method comprises the following steps: firstly, carrying out region growing and smoothing on high-brightness interference regions; then carrying out wavelet edge detection on the region to be extracted to obtain an edge detection graph; adding a center point correction method in the extraction process; in the edge detection graph, calculating the road azimuth according to a ridge line tracking algorithm and a minimum variance estimate and gradiometer algorithm; and finally, gradually extracting the road along the road azimuth. The invention has the advantages of high speed, accuracy and strong robustness, can obtain favorable extraction effect especially for roads with severe curvature change, and can be used for map updating, image matching, target detection and digital mapping automation.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to the semi-automatic extraction of linear targets, specifically a semi-automatic extraction method for roads based on wavelet detection and ridge tracking, which can be used for map updating, image matching, target detection, digital mapping automation, etc. . Background technique [0002] With the advancement of science and technology, space high-resolution satellite and aerial images have been widely used. At the same time, various technologies for obtaining information from high-resolution remote sensing images have also developed rapidly, such as map update, image matching, target detection, Digital mapping automation, etc. The extraction of road network in remote sensing images has become one of the hot spots in the application research of remote sensing technology. The purpose is to use automatic or semi-automatic extraction technology to provide an effective method fo...

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Application Information

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IPC IPC(8): G06K9/46G06T7/00G06T7/13
Inventor 王爽焦李成张益博钟桦侯彪凤宏晓尚荣华李阳阳
Owner XIDIAN UNIV
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