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Method for segmenting three Markov field SAR image based on Gabor characteristic

A three-Markov field and image segmentation technology, which is applied in the field of image processing, can solve the problems of less image information and low segmentation accuracy, and achieve the effects of improving anti-noise performance, improving regional consistency, and overcoming sensitivity to coherent speckle noise

Active Publication Date: 2012-04-04
西安敏视智能科技有限公司
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Problems solved by technology

This method takes advantage of the spatial correlation between pixels in the SAR image itself, and improves the anti-noise performance through a new potential energy function. Although the steps are simple, there are still shortcomings in that the image information used is less and the segmentation accuracy is not high.

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  • Method for segmenting three Markov field SAR image based on Gabor characteristic
  • Method for segmenting three Markov field SAR image based on Gabor characteristic
  • Method for segmenting three Markov field SAR image based on Gabor characteristic

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Embodiment Construction

[0034] Attached below figure 1 The steps of the present invention are further described in detail.

[0035] Step 1. Input the SAR image to be segmented.

[0036] 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.

[0037] Step 3. Create additional fields.

[0038] The Gabor wavelet transform of three scales, 0°, 90°, 180°, and 270° directions, is performed on the SAR image to be segmented to obtain 12 feature matrices with the same size as the original image, and the multi-scale product method is used to convert each direction Multiply the feature matrices of the upper three adjacent scales to obtain four matrices in four directions, and finally use the K-means clustering tool to aggregate a matrix obtai...

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Abstract

The invention discloses a method for segmenting three Markov field SAR image based on Gabor characteristic, which is realized by the following steps of: (1) inputting SAR image; (2) initializing label field; (3) building additional field; (4) obtaining united prior probability; (5) building segmentation model of posterior edge; (6) maximizing probability segmentation of posterior edge; (7) updating the label field; (8) judging if change rate of the label field is more than threshold valve; and (9) outputting final segmentation result. Compared with segmentation method of multi-dimension Markov model, this method simplifies segmentation process, ensures area uniformity of segmentation results, better keeps edges of different areas in the images, and solves the problem on unclear edges and poor area uniformity in the image segmentation problem. The method can be applied to synthesized aperture radar 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 Gabor features 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 the process of extracting the target or region of interest through the analysis of image information. It is the most basic and important image processing method in computer vision, and it is the key technology for successful image analysis, understanding and description. SAR image is a kind of high-resolution radar image. SAR image segmentation technology has been widely used in many fields such as military affairs, agriculture, and geology. [0003] Because SAR images have serious coherent speckle noi...

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 侯彪焦李成白雪王爽钟桦张小华公茂果缑水平
Owner 西安敏视智能科技有限公司
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