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Multi-dimension SAR image edge detection method based on improved Wedgelet

An image edge and detection method technology, applied in the field of image processing, can solve problems such as the running time of false edges easily generated, the algorithm is difficult to suppress noise and accurate positioning, etc., to achieve complete and continuous edge detection results, good edge detection effect, and improve anti-noise The effect of sex and running speed

Inactive Publication Date: 2008-12-24
探知图灵科技(西安)有限公司
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the disadvantages of traditional algorithms in the existing SAR image edge detection that it is difficult to take into account noise suppression and complete and accurate positioning of the edge at the same time, while the existing The image obtained by Wedgelet approximation has the shortcomings of easy to generate false edges and takes too long to run. A SAR image edge detection method based on improved Wedgelet transform is proposed, so that the edge image obtained after detection has good noise resistance and complete and continuous edges. sexual characteristics

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  • Multi-dimension SAR image edge detection method based on improved Wedgelet
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  • Multi-dimension SAR image edge detection method based on improved Wedgelet

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[0028] refer to figure 1 , the specific implementation process of the present invention is as follows:

[0029] Step 1, input the SAR image to be detected, convert it into a grayscale image, and divide the obtained grayscale image into multiple sub-images.

[0030] The size of each sub-image is: M×M, assuming that the size of the input image is N×N, and R=N / M, then R×R sub-block images are obtained.

[0031] Let S(k 1 , k 2 , j)={(x 1 , x 2 ): [k 1 / 2 j , k 1 +1 / 2 j ]×[k 2 / 2 j , k 2 +1 / 2 j ]} (where j≥0 is an integer, 0≤k 1 , k 2 ≤2 j ) is a set of points in a binary square, and the connection between any two vertices that are not on the same side constitutes an edgelet line, and each edgelet line and the edge of the binary square form a wedge-shaped area The characteristic function of is called a non-degenerate Wedgelet, and the characteristic function of a square that is not divided is called a degenerate Wedgelet.

[0032] Step 2: Use the improved Wedgelet...

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Abstract

The invention discloses an SAR image edge detection method based on the multi-scale Wedgelet transformation which relates to the image processing field. The SAR image edge detection method aims at solving the problem that the traditional edge detection method is difficult to suppress the noise and carry out complete and accurate positioning of the edge simultaneously. The procedure is as follows: 1. an SAR image is converted into a gray-scale image which is divided into a plurality of sub-images; 2. the multi-scale Wedgelet decomposition is self-adaptively carried out to each sub-image according to the scale from bottom to top, and the decomposition coefficients of various scales are stored by using a quadtree; 3. the multi-scale Wedgelet approximation is carried out to each sub-image according to the coefficient quadtree obtained by the decomposition, and the multi-scale Wedgelet approximation of the whole image is finally obtained; 4. the edge of the approximated image is detected through edge extraction of gradient operators according to the obtained multi-scale Wedgelet approximated image; 5. the interference of the miscellaneous edges with the length of less than the set threshold on the edge image in the edge image is removed. The SAR image edge detection method has the advantages of fast running time and good edge detection effect, thereby being capable of being used in the edge detection of the SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image edge detection method, which can be used for edge detection of synthetic aperture radar SAR images. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar with all-weather, multi-polarization, multi-view, and multi-depression angle data acquisition capabilities. It is widely used in military reconnaissance and civilian remote sensing detection. Because the imaging radar emits pure coherent waves, the SAR image is seriously affected by coherent speckle noise, and the signal-to-noise ratio of the image is low. Edge information is of great significance to image understanding. It is not only an effective way of image segmentation, but also an effective means of feature extraction. It has gradually developed into a special research field in image processing, and it is also the focus of SAR image processing research. However, th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G06K9/46
Inventor 侯彪刘佩王爽焦李成张向荣马文萍
Owner 探知图灵科技(西安)有限公司
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