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Level set SAR image segmentation method based on local and global area information

A global area and local area technology, applied in the field of image processing, can solve the problem that the local area method is easily affected by multiplicative coherent speckle noise, does not consider the intrinsic properties of the level set function, and is not suitable for SAR images.

Active Publication Date: 2012-04-25
XIDIAN UNIV
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Problems solved by technology

However, it also has shortcomings. The internal energy term of the model only ensures the smoothness of the zero level set curve, without considering the intrinsic properties of the level set function itself. In some applications, the level set function needs to be reinitialized. , so that it is close to the signed distance function to ensure the stability of the numerical solution.
[0006] Although the level set segmentation method has achieved great success in optical and medical image segmentation, there is still relatively little research in the field of SAR image segmentation. At present, scholars who study the level set method based on regional information in the world include Chunming Li and Ayed et al., Chunming Li focused on the application of local binary fitting LBF method in medical image segmentation. Since SAR image noise is multiplicative noise, which is different from additive noise in medical images and natural images, local area methods are vulnerable to multiplicative Coherent speckle noise, so the LBF method is not suitable for SAR images
The level set method studied by Ayed et al. is prone to missing segmentation for more complex SAR images, and the segmentation results for SAR images in complex areas are not very ideal

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  • Level set SAR image segmentation method based on local and global area information

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[0051] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0052] Step 1: Initialize the level set function φ into a signed distance function form, and divide the entire image area Ω of the SAR image I to be segmented into two areas Ω according to the positive or negative value of the level set function 1 and Ω 2 ;

[0053] The specific process of realizing this step is expressed as follows: use computer tools to make a rectangle on the image I to be segmented, and the equation of this rectangle is used as the initial level set function φ. When φ>0, it represents the outer area of ​​the rectangle Ω 1 , when φ2 , therefore, according to the positive and negative values ​​of the level set function, the SAR image is divided into two regions Ω 1 and Ω 2 .

[0054] Step 2, according to the two regions Ω 1 and Ω 2 , to construct the corresponding local area energy function E L :

[0055] 2a) Select local kernel function:

[0056...

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Abstract

The invention discloses a level set SAR (Synthetic Aperture Radar) image segmentation method based on local and global area information, which mainly solves the problem that the existing level set method is influenced by speckle and cannot segment the SAR images with uneven gray. The method comprises the following implementation steps of: firstly, initializing a level set function phi, and segmenting the SAR image into an internal area omega 1 and an external area omega 2; secondly, convolving intensity information of the internal area and the external area of the image through a Gaussian Kernel Function, taking the convolved information as local area information, and forming an energy term based on the local area; then, solving intensity mean values c1 and c2 and probability densities p1and p2 of the internal area and the external area, and forming the energy term of the global area; and finally, adding a bound term L (phi) of level set length and a penalty P (phi) which avoids renewed initialization, forming a total energy function ESAR, solving a gradient sinking equation through a variation method, and updating the level set phi. The obtained new segmented area and the experimental result show that the segmentation method provided by the invention can get more ideal segmentation effects, and the method can be used for SAR image segmentation and target identification.

Description

technical field [0001] The invention belongs to the field of image processing technology, and relates to the application of the field of SAR image segmentation, specifically a level set SAR image segmentation method based on the combination of local and global area information, which can be used for SAR image segmentation, edge detection and target recognition . Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution active radar with the advantages of all-weather, all-time, high resolution, and side-view imaging. It can be used in many fields such as military, agriculture, navigation, and geographic surveillance. SAR images are widely used in the field of target detection, and SAR image segmentation is an important step from image processing to image analysis, and is the basis of target classification and recognition. Since SAR is a coherent imaging system, the SAR image is essentially a response to the electromagnetic scattering characteristics a...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 焦李成侯彪刘娜娜王爽刘芳尚荣华
Owner XIDIAN UNIV
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