Description: 本程序来实现 红外和可见图像的配准确
利用红外图像和可见的边缘信息进行图像匹配 先进行图像边缘检测 寻找图像中闭合轮廓 利用轮廓 的链码进行图像配准-The procedures are in place to realize the infrared and visible images with accurate use of infrared image and visibility of the edge information in image matching image to image edge detection to find the outline of the use of closed contour chain code image registration Platform: |
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Description: 运用模板匹配的方法对红外图像中的目标进行检测。-The use of template matching method of infrared image of the target for testing. Platform: |
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Author:方潇潇 |
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Description: 一种改进的红外图像归一化互相关匹配算法，分析了传统归一化互相关算法在红外空中目标匹配定位时失效的原因,提出一种改进的红
外图像归一化互相关匹配算法. 该方法将模板和匹配区域之间的纹理相关计算看作一个最优化问
题，论文-An improved infrared image normalized cross correlation matching algorithms, analysis of the traditional normalized cross-correlation algorithm to match the positioning of infrared aerial target failure reason, an improved infrared images normalized cross correlation matching algorithm. The template matching method and the calculation of the regional correlation between the texture as an optimization problem, the paper Platform: |
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Author:cyy |
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Description: 系统的论述了红外图像的匹配技术的发展及各种方法-Systematic exposition of the infrared image matching technology and a variety of methods Platform: |
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Author:tutu |
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Description: 针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对
低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明:
与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中的边缘和细节信息,对比度和清晰度都有所提高.
-Aiming at the characteristics of low visible light images and infrared images, a novel adaptive image fusion
scheme based on DT-CWTwas presented. The technique has good shift-invariance and directional selectivity, and ismore
suitable for human vision. The DT-CWTwas firstly used to perform amultiresolution decomposition of source images. By
taking advantage of the characters of the coefficients, the immune clonal selection algorithm was introduced in low-pass sub-
bands and almost optimal fused weightswere obtained adaptively. To high-pass subbands, the local directive contrastwas
defined, whichwas based on human visual system. And then the contrastof fused imageswas enhanced and the detail in-
formation of source imageswas protected. The experimental results show thatour fused technique is effective and the fusedimages have a better visual quality than theirwavelet counterparts.
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Author:赵昭 |
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Description: 红外图像匹配中外文献资料，包括IEEE文献等-Infrared image matching and foreign literature, including literature and other IEEE Platform: |
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Author:沈默 |
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Description: 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得到了提高，实现快速和精确匹配。- Infrared and visible light matching tracking has wide application in military, remote sensing and other fields. There is a relatively large difference for grayscale image features infrared and visible light images, this article uses the maximum mutual information algorithm, combined with morphological gradient and wavelet decomposition. Mutual information algorithm the advantage not need to make any assumptions about the relationship between the multi-mode image gray inadequacies that its image spatial information is ignored and the computation time is longer. This paper mutual information combined with the multi-structural element morphological gradient image edge detection, can make the image matching accuracy is improved, but also to improve the problem of local minima, and then take advantage of the wavelet decomposition to reduce the resolution of the image is compressed, can reduce the amount of mutual information calculated . Finally, the experimental data show that the mutual Platform: |
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Author:simon lee |
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Description: MATCH_FUSE:是把配准移植到融合上程序，可以边采集，边配准，边融合。
在手工配准时，这个是针对改程序的配准，所以配准时是采用红外为基准图像，可见光为带配准图像。
配准结果生成一个.XML文件，自动保存起来，然后在融合时加载同文件名XML文件。-MATCH_FUSE: is the registration transplanted into integration program, can collection, edge matching, edge fusion.In the manual registration, this is for the program registration, so with time is using infrared as a reference image, the visible light band image registration.The matching result is to generate a.XML file, automatically saved, and then loaded in fusion with the file name XML file. Platform: |
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Author:dsfewf |
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