SAR image Ostu segmentation method based on power transformation

A technology of power transform and image, which is applied in the field of SAR image Ostu segmentation based on power transform, can solve the problems that the impact of segmentation is not considered, and the consistency of scattering amplitude is poor, so as to improve the consistency, improve the quality of segmentation, and improve the consistent effect

Active Publication Date: 2014-07-02
XIDIAN UNIV
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Problems solved by technology

However, the impact of the poor consistency of the scattering amplitude of the target class on the segmentation has not been considered. As a result, for this type of image, the result of target under-segmentation will appear during segmentation, that is, the relatively weak scattering center on the target is segmented into the background

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  • SAR image Ostu segmentation method based on power transformation
  • SAR image Ostu segmentation method based on power transformation
  • SAR image Ostu segmentation method based on power transformation

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[0039] The present invention will be further described below in conjunction with accompanying drawing:

[0040] refer to figure 1 , is the flow chart of the SAR image Ostu segmentation method based on power transformation of the present invention. The SAR image Ostu segmentation method based on power transform comprises the following steps:

[0041] S1: Acquire the original SAR image (for example, the original SAR target slice image), and perform speckle Lee filtering (speckle noise filtering) on ​​the original SAR image to obtain the filtered image. The specific instructions are as follows:

[0042]In the original SAR image, due to its coherent accumulation imaging mechanism, the background area of ​​the image is full of coherent speckle noise, which reduces the consistency of the background amplitude and affects the image segmentation results. Firstly, speckle Lee filtering is performed on the original SAR target slice image I to obtain the filtered image Y. Then use Y t...

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Abstract

The invention belongs to the technical field of SAR image segmentation, and particularly relates to an SAR image Ostu segmentation method based on power transformation. The SAR image Ostu segmentation method based on the power transformation includes the following steps: obtaining an original SAR image, and carrying out speckle Lee filtering on the original SAR image to obtain a filtered image; respectively carrying out the power transformation with N different scales on the filtered image to obtain N images after the power transformation, wherein the N images after the power transformation are expressed as Z(1)-Z(N) respectively, and the Z(n) expresses the image obtained in the mode that the power deformation with the nth scale is carried out on the filtered image; obtaining the specific value of the interclass variance to the total variance of the Z(n) under different segmentation threshold values; obtaining the optimal segmentation threshold value and the optimal scale of the power transformation; obtaining a corresponding image after the optimal power transformation according to the optimal scale of the power transformation; segmenting the image after the optimal power transformation according to the optimal segmentation threshold value.

Description

technical field [0001] The invention belongs to the technical field of SAR (Synthetic Aperture Radar) image segmentation, in particular to a power transform-based SAR image Ostu segmentation method; it can be used for target slice image segmentation in SAR target recognition. Background technique [0002] Image segmentation is to divide an image into a collection of several non-overlapping areas, and the pixels in each segmented area have certain consistency and similarity. Image segmentation of SAR target slice is an important step in SAR target recognition system. Among them, the extraction of recognition features such as target shape and target scattering characteristics all depend on the quality of image segmentation. The commonly used segmentation methods in the recognition system generally include the random Markov field segmentation method and the two-parameter constant false alarm CFAR image segmentation method. The image segmentation method suitable for SAR target...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 刘宏伟宋文青王英华杜兰纠博白雪茹王鹏辉陈渤
Owner XIDIAN UNIV
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