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chapter02
matlab6.5图形图像处理源程序 部分内容 第二章压缩包 (matlab6.5 )
- 2013-10-27 13:02:04下载
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RADAR-IMAGING-OF-ISAR
SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布,本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波,但其运算量很大,再加上SAR的数据率本来就高,这使得实时处难于实现。通常,可以把二维过程分解成距离向和方位向两个一维过程,Range-Dopper Algorithm(简称RD算法)(SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm))
- 2012-04-26 21:48:50下载
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image_to_video
可以将连续图片转换成视频文件,值得参考学习(Convert a continuous image into a video file)
- 2016-08-29 21:09:04下载
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code
2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的matlab代码.(CVPR best paper in 2009 ,He Kai Ming Single Image Removal Haze is the Using the Dark Channel matlab code,)
- 2014-01-17 20:51:51下载
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super-pixel
基于熵率的超像素分割代码,是顶级会议上的代码(Entropy Rate Superpixel Segmentation)
- 2013-07-07 11:06:55下载
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matlabwatershed
数字图像处理,分水岭算法matlab源码,可以实现图像分割。(Digital image processing, watershed algorithm matlab source code, can achieve image segmentation.)
- 2008-01-28 14:37:13下载
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HUinvmoments
说明: HU的七个不变矩,每个文件是一个子程序,对应冈萨雷斯的数字图像处理教程的(HU)
- 2008-10-02 11:25:58下载
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opencv图像处理算法(softskin.cpp)
opencv图像处理算法
- 2020-12-01下载
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Digital-Image-Processing
经典数字图像处理算法仿真,包括图像的傅里叶滤波及压缩,图像的DCT高通、低通滤波,图像直方图均衡化,图像平滑与锐化,图像的模糊化,哈夫曼编码等,以及GUI图形化界面。(Classic digital image processing algorithm simulation, including Fourier filtering and image compression, image DCT high-pass, low-pass filtering, image histogram equalization, image smoothing and sharpening, blurring the image, Huffman coding, as well as GUI graphical interface.)
- 2015-04-07 16:07:39下载
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QualityGuidedUnwrap2D_r1
基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase
unwrapping algorithm.
Inputs: 1. Complex image in .mat double format
2. Binary mask (optional)
Outputs: 1. Unwrapped phase image
2. Phase quality map
This code can easily be extended for 3D phase unwrapping.
Technique adapted from:
D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping:
Theory, Algorithms and Software. New York: Wiley-Interscience, 1998.
Posted by Bruce Spottiswoode on 22 December 2008
2010/07/23 Modified by Carey Smith)
- 2020-10-29 11:19:57下载
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