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SAR (synthetic aperture radar) image segmentation method based on fuzzy triple markov fields

A three-Markov field, image segmentation technology, applied in the field of image processing, can solve the problem of edge pixel segmentation and other problems, and achieve the effect of weakening the influence, improving the regional consistency, and improving the edge accuracy

Active Publication Date: 2013-11-20
XIDIAN UNIV
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Problems solved by technology

This method uses the three-Markov field image segmentation method for non-stationary images, and obtains better segmentation results in both simulated and real SAR images, but there is still a shortcoming that the penalty form of the energy function is easy to cause edge Mis-segmentation of pixels

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  • SAR (synthetic aperture radar) image segmentation method based on fuzzy triple markov fields
  • SAR (synthetic aperture radar) image segmentation method based on fuzzy triple markov fields
  • SAR (synthetic aperture radar) image segmentation method based on fuzzy triple markov fields

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Embodiment Construction

[0037] Attached below figure 1 The steps of the present invention are further described in detail.

[0038] Step 1. Input the SAR image to be segmented.

[0039] Step 2. Initialize the label field. The SAR image to be segmented is segmented by mean shift, the input window width is 5, and the segmentation result map is output. The pixels with the same gray value in the segmentation result map are marked as one class, and the obtained label matrix is ​​used as the initial label field.

[0040] Step 3. Create additional fields.

[0041] Using the K-means clustering tool, the SAR image to be segmented is clustered into the number of input categories, and the clustered matrix is ​​used as an additional field. This method clusters the image into two categories, indicating that the SAR image contains two different textures.

[0042] Step 4. Blur the label field. Calculate the membership degree vector of each pixel in the label field according to the following formula;

[0043] ...

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Abstract

The invention discloses an SAR (synthetic aperture radar) image segmentation method based on fuzzy triple markov fields, which has the following realization steps: (1) inputting an SAR image to be segmented; (2) initializing a labeling field; (3) fuzzifying the labeling field; (4) establishing an additional field; (5) obtaining fuzzy combined prior probability; (6) creating a segmentation model of a posteriori edge; (7) maximizing posteriori edge probability to fuzzify and update segmentation of the labeling field; (8) judging whether the change rate of the labeling field is larger than a threshold value or not; and (9) outputting final segmentation results. According to the invention, not only can the accuracy of edges of different areas in the image maintained, but also the consistency of areas of the segmentation results can be improved, and the advantages of high calculating efficiency and high segmentation accuracy are realized. The SAR image segmentation method based on the fuzzy triple markov fields can be applied to SAR image segmentation and SAR image target identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a three-markov field synthetic aperture radar (SAR) image segmentation method based on fuzzy theory in the field of target recognition. The method can be applied to the acquisition of target recognition image information and SAR image target recognition, and can accurately segment different regions of the image. Background technique [0002] Image segmentation is to extract meaningful or interesting feature parts through image analysis, which is the key technology for successful image analysis, understanding and description. Synthetic Aperture Radar (SAR) is a high-resolution imaging radar, which is widely used in military and national economy due to its advantages of all-weather, all-time, multi-band, multi-polarization, variable side viewing angle and strong penetrating ability. field. The main applications of SAR image segmentation are divided into two types, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 侯彪刘芳白雪王爽钟桦张小华公茂果缑水平
Owner XIDIAN UNIV
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