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Method based on Contourlet transformation, modified type pulse coupling neural network, and mage amalgamation

A pulse-coupled neural and image fusion technology, applied in the field of multi-sensor image information fusion, can solve the problems affecting the performance of the method, the difficulty of proper selection and adjustment of parameters, and achieve the effect of improving quality

Inactive Publication Date: 2006-12-06
SHANGHAI UNIV
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Problems solved by technology

However, because the PCNN model is sensitive to parameters, it is very difficult to select and adjust the parameters properly, which affects the performance of the method.

Method used

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  • Method based on Contourlet transformation, modified type pulse coupling neural network, and mage amalgamation
  • Method based on Contourlet transformation, modified type pulse coupling neural network, and mage amalgamation
  • Method based on Contourlet transformation, modified type pulse coupling neural network, and mage amalgamation

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Embodiment Construction

[0036] A preferred embodiment of the present invention is described in detail as follows in conjunction with accompanying drawing:

[0037] like figure 1 As shown, the image fusion method based on the Contourlet transform and the improved pulse-coupled neural network is: perform the same Contourlet transform on the input visible light and infrared images respectively, and obtain a low-frequency background sub-image and a series of sub-images with different resolutions and directions. Sexual high-frequency detail sub-images. Then the low-frequency background sub-image and the high-frequency detail sub-image are fused using the IPCNN-based fusion strategy, and finally the Contourlet inverse transform is performed on the obtained Contourlet transform domain fused sub-image to obtain the fused image. The specific steps are:

[0038] (1) On the basis of registering the visible light and infrared images of the same scene, the visible light image I Vis and infrared images I Inf M...

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Abstract

The invention relates to an image fusion method based on Contourlet transform and modified pulse coupling neural network (PCNN), on the basis of multidimensional and multidirectional Contourlet resolution of input visible and infrared images, modifying the PCNN with neural physiological background, using the modified PCNN to make fusion policy design, fusing high frequency detail part and low frequency background part according to different characteristics of the visible and infrared images, and generating Contourlet-domain fusion coefficients, and finally obtaining the fused image by inverse Contourlet transform. And the method can improve fused image quality, achieving more ideal fusion effect and has a wide application prospect in optical imaging system, target detecting system, security monitoring system, and other systems.

Description

technical field [0001] The present invention relates to an image fusion method based on Contourlet (contour wavelet) transformation and IPCNN (improved pulse-coupled neural network), which is a multi-sensor image information fusion method in the field of information fusion, and is used in military and non-military fields such as It is widely used in optical imaging, target detection, security monitoring and other systems. Background technique [0002] Multi-sensor image fusion is to make full use of the complementary image information provided by different imaging systems, and to fuse various complementary information of the same scene obtained by different types of sensors to generate new image signals. It increases the amount of image information, improves the adaptability of the image to the environment, obtains more accurate, comprehensive, and reliable useful information, and provides reliable and clear images for further processing. Image fusion technology is an emerg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/00
Inventor 方勇刘盛鹏
Owner SHANGHAI UNIV
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