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Image fusion of sequence infrared and visible light based on region segmentation

An infrared image and region segmentation technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as not being a representation tool, unable to express "along" edge characteristics, and weakening relationships

Active Publication Date: 2011-08-17
JIANGSU HUAYI GARMENT CO LTD +1
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Problems solved by technology

However, there are still problems with the wavelet method: the advantages of the wavelet transform are mainly reflected in the analysis and processing of the one-dimensional piecewise smooth or bounded variogram. Separable wavelets only have limited directions, that is, to capture the characteristics of the image in units of "points", and can only reflect the "over" edge characteristics, but cannot express the "along" edge characteristics, that is to say, the wavelet is mainly used to represent Objects with isotropic singularities, and for anisotropic singularities, such as boundaries and linear features in natural images, wavelet is not a good representation tool
The commonly used image fusion algorithms at this stage are image fusion algorithms at the pixel level, and the fusion rules adopted are based on pixel points and window rules. weakened relationship

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  • Image fusion of sequence infrared and visible light based on region segmentation
  • Image fusion of sequence infrared and visible light based on region segmentation
  • Image fusion of sequence infrared and visible light based on region segmentation

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Embodiment Construction

[0052] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0053] The hardware environment used for implementation is: Pentium-43G computer, 1GB memory, 128M graphics card, and the running software environment is: Matlab7.0 and Windows XP. We have realized the method that the present invention proposes with Matlab programming language. The image data uses the same scene sequence infrared image and visible light image.

[0054] The present invention is specifically implemented as follows:

[0055] 1. Non-subsampling Contourlet decomposition: Assuming that each frame image in the sequence image has been registered, the sequence infrared image to be fused {A i} and the visible image {B i} The infrared image A of the i-th frame i and visible image B i Perform non-subsampling Contourlet transformation to obtain the i-th frame infrared image source A i and visible image B i The non-subsampled Contourlet transform coeffi...

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Abstract

The invention relates to an image fusion of sequence infrared and visible light based on region segmentation. The invention is characterized in that infrared images are segmented into different regions according to the interframe objective change situation and gray scale change degree thereof; the images are dissembled to different frequency domains in the different directions by utilizing non-sub-sampling Contourlet transform; different fusion rules are selected based on the characteristics of different regions in the different frequency domains; and image reformation is carried out for the processed coefficients to obtain the final fusion result. The method takes the information of the characteristics in one of the regions into consideration, so the algorithm is capable of effectively reducing the rate of fusion image error due to the noise and low matching precision, and has stronger robustness.

Description

technical field [0001] The present invention relates to a sequence infrared and visible light image fusion based on region segmentation, which is a sequence infrared and visible light image fusion method based on non-subsampled contourlet transform (Nonsubsampled Contourlet transform, NSCT) and region segmentation, and can be applied to various military or civilian uses image processing system. Background technique [0002] With the development of sensing technology, there are more and more ways to acquire images and the amount of data has increased dramatically, making it difficult to use a large amount of information. Therefore, image fusion technology has become a hot spot in international research. As an important part of data fusion, image fusion is a visual data fusion technology that integrates sensor technology, image and signal processing, computer technology, artificial intelligence, statistics and estimation theory and other scientific high-tech. Image fusion tec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T7/00G06T7/11G06T7/136G06T7/168G06T7/174
Inventor 郭雷刘坤常威威李晖晖
Owner JIANGSU HUAYI GARMENT CO LTD
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