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Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm

A technology of particle swarm optimization and particle swarm algorithm, which is applied in computing, image enhancement, image data processing, etc., can solve the problems of large amount of data calculation and time-consuming, and achieve good robustness, richness, and clarity degree of effect

Inactive Publication Date: 2011-05-18
ZHEJIANG NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, NSCT has a large amount of data calculation and takes a lot of time. Therefore, the research on the rapid implementation method of NSCT and how to formulate effective fusion rules according to the characteristics of NSCT coefficients and image characteristics will be the focus of future research.

Method used

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  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm
  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm
  • Method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and particle swarm optimization algorithm

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Experimental program
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Effect test

Embodiment 1

[0064] Such as figure 2 As shown, we selected some intercepted images from the infrared channel 1 typhoon cloud image and visible light typhoon cloud image of the satellite cloud image sent back by China Fengyun-2C satellite at 6:00 on August 16, 2007 (Beijing time) as the original image for fusion deal with. It was processed into a digital image by MATLAB 7.0, and the size was 200 × 200 pixels. Each pixel represents its brightness digitally. The larger the number, the brighter the point and the more white it appears.

[0065] We performed NSCT on typhoon cloud map A and typhoon cloud map B respectively. In the decomposition process of the above steps, the vector is decomposed into three layers by the non-sampled Contourlet transform. The number of directions corresponding to each layer is {0, 2, 4}, and the filter adopts cone Volume filtering direction filter bank.

[0066] Finally, the low-frequency and high-frequency transformation coefficients of the corresponding ima...

Embodiment 2

[0080] Such as Figure 5 As shown, in order to further illustrate the effectiveness of the algorithm of the present invention, the present invention will do another set of experiments. The source images of the experiment are from the partial intercepted images of the infrared channel 2 Fengyun image and the visible light typhoon Fengyun image of the satellite cloud image sent back by the China Fengyun-2C satellite at 4:30 on August 16, 2007 (Beijing time). The size is all 200×200 pixels. Similarly, in order to objectively evaluate the fusion effect of the above images, we still calculate the joint entropy, average correlation coefficient, average gradient, and peak signal-to-noise ratio for the fused image. And conduct an in-depth analysis of these parameters. The specific relevant data are as follows:

[0081] Such as Figure 6 As shown, taking the decomposition of the first direction of the second layer of the satellite cloud image infrared channel 1 typhoon cloud image ...

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Abstract

The invention provides a method for fusing typhoon cloud pictures based on NSCT (Nonsubsampled Controurlet Transformation) and a particle swarm optimization algorithm, comprising the following steps of: respectively fusing low-frequency and high-frequency coefficients of the multi-channel typhoon cloud pictures after the NSCT; and then performing the invert transformation of the NSCT, in particular synchronously considering the influences of parameters, such as information entropy (E), average gradient (G) and signal-to-noise ratio (S), when processing the high-frequency coefficients, wherein the typhoon eye and cloud system detail information can be clearly kept on the fused pictures. By utilizing the technical scheme of the invention, the fusion of the multi-channel typhoon cloud pictures can be greatly realized, useful information of each channel can be completely fused, the details of each channel can be maximally kept, and the great robustness, i.e. anti-interference performance, on noise is provided. The method has better abundant degree on the picture information compared with the traditional picture fusion method, can keep the definition of the pictures after the fusion, and greatly helps the following work of the fused pictures.

Description

technical field [0001] The invention belongs to the field of meteorological prediction. Specifically, it involves a typhoon cloud image fusion method based on non-subsampled contourlet transform (NSCT) and particle swarm optimization (PSO) algorithm for the purpose of improving the positioning accuracy of typhoon center. Background technique [0002] my country is a country seriously affected by typhoon disasters. The determination of the typhoon center is an important link in the analysis and forecast of typhoons, and it is also one of the most concerned and urgent problems in my country's current business. The use of aircraft and radar to determine the location of the typhoon center is limited by various conditions and detection distances. The satellite can observe the whole picture of the typhoon, which is more conducive to determining the center of the typhoon. At present, the typhoon positioning methods based on satellite cloud images used at home and abroad are mainl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G01W1/10
Inventor 张长江张翔
Owner ZHEJIANG NORMAL UNIVERSITY
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