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PHD_Gradient_pyramid

于 2020-07-14 发布

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下载积分: 1 下载次数: 5

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代码说明：

说明：该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

文件列表：

PHD_Gradient_pyramid\adb.m, 666 , 1999-08-16
PHD_Gradient_pyramid\data\clockA_1.jpg, 47737 , 2015-11-13
PHD_Gradient_pyramid\data\clockB_1.jpg, 42423 , 2015-11-13
PHD_Gradient_pyramid\data\medA.bmp, 196662 , 2015-07-16
PHD_Gradient_pyramid\data\medB.bmp, 196662 , 2015-07-16
PHD_Gradient_pyramid\data\source16_1.bmp, 253270 , 2012-05-03
PHD_Gradient_pyramid\data\source16_2.bmp, 253270 , 2012-05-03
PHD_Gradient_pyramid\data\source18_1.tif, 116608 , 2012-04-21
PHD_Gradient_pyramid\data\source18_2.tif, 177526 , 2012-04-21
PHD_Gradient_pyramid\dec2.m, 191 , 1999-08-16
PHD_Gradient_pyramid\es2.m, 493 , 1999-08-16
PHD_Gradient_pyramid\fusion_gradient_pyramid.m, 4252 , 2020-07-14
PHD_Gradient_pyramid\isgray_1.m, 1342 , 2015-09-07
PHD_Gradient_pyramid\isind.m, 1636 , 2015-09-06
PHD_Gradient_pyramid\selb.m, 465 , 1999-08-16
PHD_Gradient_pyramid\selc.m, 1763 , 2016-10-09
PHD_Gradient_pyramid\undec2.m, 225 , 1999-08-16
PHD_Gradient_pyramid\data, 0 , 2020-07-14
PHD_Gradient_pyramid, 0 , 2020-07-14

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meanshift
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2020-06-26 19:20:02下载

积分：1
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2020-06-23 04:40:02下载

积分：1
h264
h264实现监控,不是动态的，是通过读取每一帧图像(h264 yuv420 to rgb)

2013-10-27 00:19:11下载

积分：1
灰度共生矩阵
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2020-06-25 04:20:02下载

积分：1
MeanShiftSegMent
根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

2013-07-30 19:01:52下载

积分：1

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