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anisodiff2D
运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。(The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image.)
- 2008-07-16 20:55:53下载
- 积分:1
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rectification_transf
对两幅图像提取特征点,并计算基本矩阵,对两幅图像进行极线矫正,并画出校正后图像特征点的极线,效果非常好(The two images of the image feature points in the feature points are extracted, and the calculated fundamental matrix, correction of lines of the two images, and after the draw correction lines, very good results)
- 2013-04-12 11:04:53下载
- 积分:1
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cfar_sarX_1
这是一个sar成像的算法,它融合了cfar的处理,使目标更加凸显。非常适合用于sar成像和cfar算法的研究。(This is a sar imaging algorithm, which combines cfar processing, the target is more prominent. Very suitable for research sar algorithm for imaging and cfar.)
- 2021-04-05 21:39:03下载
- 积分:1
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Ncut
Ncut的文献及matlab源代码。基于图的分割非常好的一个算法(Ncut literature and matlab source code. Graph-Based Segmentation Algorithm for a very good)
- 2010-11-30 18:56:36下载
- 积分:1
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extract-len-of-a-paper
用matalab编译的,求取 车牌图像的方法,很实用下载后 导入目标图像即可(The compiler with matalab, and calculate the license plate image, the method of practical import target image after download
)
- 2013-03-19 20:54:23下载
- 积分:1
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phased-array-ultrasonic-imaging-
相控阵超声成像检测,很好的一本书,从网上买的,分享给大家(Phased array ultrasonic imaging detection, a very good book, bought from the Internet and share to everyone)
- 2013-01-20 11:13:09下载
- 积分:1
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OMP
说明: 压缩感知稀疏恢复中使用的OMP算法,matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)
- 2019-04-09 09:20:25下载
- 积分:1
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read_envi_image
IDL中用于读取ENVI格式的遥感卫星影像数据的IDL程序(IDL, ENVI format for reading remote sensing image data on the IDL)
- 2013-11-01 09:51:07下载
- 积分:1
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TIP_14_SPL
基于多尺度超像素的显著性检测代码和文章(Saliency Detection with Multi-Scale Superpixels)
- 2020-09-16 16:57:55下载
- 积分:1
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Brain-MRI-Ssegmentation
自己写的分割脑组织的程序,用FCM方法分割,可以直接运行(Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly)
- 2011-10-27 22:03:02下载
- 积分:1