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SAR image segmentation method based on random projection and Signature/EMD framework

A technology of image segmentation and random projection, applied in image analysis, image data processing, instruments, etc., can solve the problems of initial value sensitivity, easy to fall into local extremum, etc., and achieve simple algorithm, reduced calculation amount, and good visual similarity Effect

Inactive Publication Date: 2014-07-30
XIDIAN UNIV
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Problems solved by technology

The traditional K-means clustering algorithm has a good effect in image segmentation, but its disadvantage is that it is easy to fall into local extremum when it converges, and it is sensitive to the choice of initial value.

Method used

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  • SAR image segmentation method based on random projection and Signature/EMD framework
  • SAR image segmentation method based on random projection and Signature/EMD framework
  • SAR image segmentation method based on random projection and Signature/EMD framework

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Embodiment Construction

[0035] Refer to attached figure 1 , the present invention is an image segmentation method based on random observation and Signature / EMD framework,

[0036] Including the following steps:

[0037] Step 1. Take training image blocks.

[0038] Treat the segmented image Im( figure 2 The size of the four SAR images to be processed in is 256×256), and each type of ground object uses manually taken rectangular small blocks as training blocks, for example, in figure 2 The three rectangular blocks in (a) and (b) are respectively framed by white boxes, because figure 2 The two pictures (c) and (d) are relatively simple, and there are only two different types of ground objects in each picture, so in (c) and (d), two rectangular blocks are framed by white rectangles as training blocks. Then get the training block set Patch. For example, figure 2 There are three training blocks in the training block set Patch of (a) and (b), figure 2 The training block sets Patch of (c) and (d)...

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Abstract

The invention discloses an SAR image segmentation method based on random projection and a Signature / EMD framework and the method can be used for SAR image segmentation. A segmentation process is as follows: obtaining training image patches and using a simple and effective method, that is, random projection, to carry out characteristic extraction on each image patch in a training set; carrying out K-means clustering on extracted characteristics and obtaining clustering centers and calculating a weight corresponding to each clustering center at the same time and splicing the clustering centers and corresponding weights to form signatures; carrying out patch obtaining on pixels of a to-be-segmented image one by one so as to obtain test image patches and then obtaining signatures of the test images patches through processing; calculating an EMD between the signature of each test image patch and the signature of each training image patch and selecting a signature of a training patch with the smallest EMD value and using an image class, which the signature of the training patch belongs to, as the image class which the test patch belongs to.

Description

technical field [0001] The invention belongs to the technical field of image processing, specifically a framework based on Signature / EMD, which utilizes the local feature representation method of Signature to put the cluster center and its corresponding weight information in a signature, and then uses land mobile The distance (Earth Mover's Distance, EMD) is used to measure the similarity between pixels to realize the pixel classification of SAR ground object images. Background technique [0002] SAR images have all-day, all-weather high-resolution imaging capabilities and certain penetration to vegetation, soil, etc., and play an important role in national economy and national defense construction. At the same time, the segmentation of SAR images is very complicated, and it is often used to distinguish different ground objects such as mountains, farmland, airports and ports. In essence, the SAR image reflects the electromagnetic scattering characteristics and structural ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 侯彪焦李成李娜王爽张向荣马文萍马晶晶
Owner XIDIAN UNIV
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