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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 results for conventional road conditions, but at the same time it has certain defects: poor real-time performance. Low stickiness, especially for road conditions with strong curvature, often cannot achieve effective extraction

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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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Embodiment Construction

[0028] refer to 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 centerline of the image s , and the direction point point d .

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

[0031] There are high-brightness interferences such as vehicles in the remote sensing road image X, and the road extraction needs to be performed after region growing filter processing. In the remote sensing road image X, the search point point s Generate a search window win1 as the center, and set its size to 12*12. For the search window win1 row area growth filter processing, to smooth out the highlight interference that exists near the target:

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

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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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