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Rapid annealing SAR image segmentation method based on MRF

An image segmentation and fast annealing technology, applied in the field of image processing, can solve the problems of slow speed, large amount of calculation of simulated annealing algorithm, and limit the application of SAR image segmentation algorithm, so as to promote the application and improve the processing speed

Inactive Publication Date: 2008-02-20
BEIHANG UNIV
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Problems solved by technology

However, the simulated annealing algorithm has a large amount of calculation, and the speed of converging to the global optimal solution is very slow. The existence of this shortcoming greatly limits the application of the SAR image segmentation algorithm based on simulated annealing in the actual SAR image processing system.

Method used

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  • Rapid annealing SAR image segmentation method based on MRF
  • Rapid annealing SAR image segmentation method based on MRF
  • Rapid annealing SAR image segmentation method based on MRF

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Embodiment Construction

[0017] As shown in Figure 1, the concrete steps of the present invention are as follows:

[0018] (1) Determine the initial segmentation field, here the maximum likelihood method is used to determine each pixel x i initial segmentation marker , i=1, 2, ..., N, where N is the number of pixels in an image. Have

[0019] x ^ i = arg max x i p ( y i | x i )

[0020] Among them, p(y i |x i ) is the observation model of the SAR image, here the Rayleigh distribution is used, namely

[0021] p ( y i | x i ) = y ...

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Abstract

The utility model relates to a SAR image segment method for the flash annealing based on a MRF, which is characterized in that: 1) The original split field is defined, 2) The local energy of each pixel point in the current split field is calculated; 3) The current pixel point sentinel is changed: firstly, whether a prior dominant sentinel is in the current pixel point neighborhood is determined, if yes, the new sentinel of the current pixel point is marked as the prior dominant sentinel; if no, the sentinel of the current pixel point is changed randomly to get a new sentinel, if the new sentinel calculated energy is lower than that of the current sentinel, the new sentinel is accepted, otherwise a value is randomly selected between 0 and 1, if the possibility rate corresponding to the energy differential value between the new energy and the current energy is larger than or equal to the selected value, the sentinel is accepted, otherwise the new sentinel is not accepted; 4) A global energy in the current state and in the new state is calculated, if the variable value of the global energy is less than a threshold value defined in advanced, the iterative optimization process is over. The utility model has advantages of increasing the processing speed, and facilitating the application of the SAR image segment method based on the analogue annealing in processing system.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a method for segmenting a Synthetic Aperture Radar (SAR for short) image. Background technique [0002] SAR is a high-resolution microwave imaging radar. It has the ability to work all day and all day, and can penetrate natural vegetation, artificial camouflage and surface soil at a certain depth, so it has attracted much attention. With the increasing number of SAR image acquisition systems, the rapid development of SAR image application technology is urgently needed. SAR image segmentation is one of the key technologies for target detection and classification recognition using SAR images. The existence of a large number of speckle noises in SAR images makes the images unable to correctly reflect the scattering characteristics of ground objects, which will lead to inaccurate segmentation of SAR images. Therefore, the influence of speckle noise must be considered...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34
Inventor 徐华平孙慕涵周荫清
Owner BEIHANG UNIV
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