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overlapsave
overlap save is very important method for calculation
- 2010-11-14 04:52:13下载
- 积分:1
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edgedetector
canny detector code which performs extracting edges from a image and gives efficient results compared to other methods
- 2010-12-02 22:31:05下载
- 积分:1
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ME_device_fundermental
Micro Electronic Device Fundermental
- 2009-05-24 19:55:12下载
- 积分:1
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GaborTextureSegment
计算机视觉,图像分割的matlab源程序(Computer vision, image segmentation matlab source)
- 2009-05-29 18:47:13下载
- 积分:1
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msk
MSK Code in Matlab using four analog sine waves that are selected on the basis of the digital selection lines,there are mainly two selection lines.
- 2013-11-21 13:27:39下载
- 积分:1
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gaborfilter
Gabor滤波器的matlab源文件,可完成滤波器的实现(Gabor filter Matlab source files, to be completed by the realization of the filter)
- 2013-05-12 16:46:53下载
- 积分:1
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sailun
阵列信号处理的高分辨率估计,微分方程组数值解方法,结合PCA的尺度不变特征变换(SIFT)算法。( High-resolution array signal processing estimates, Numerical solution of differential equations method, Combined with PCA scale invariant feature transform (SIFT) algorithm.)
- 2017-02-05 20:02:55下载
- 积分:1
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FrequencyStepradar
频率步进matlab仿真:包括模糊图的生成,距离像的生成及允余去除拼接,最后还有雷达测角的matlab仿真,包括单目标及多目标(Frequency Step matlab simulation: including fuzzy map generation from the generation and Yun-I like the removal of splicing and, finally, the radar angle measurement of matlab simulation, including the single-objective and multi-objective)
- 2021-04-01 11:09:08下载
- 积分:1
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seq
Matlab code for sequence analysis
- 2010-06-30 14:29:58下载
- 积分:1
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Imageprocessing
包括图像分析的四部分代码:matlab扩散和高斯函数,线性扩散,线性复扩散,非线性扩散。(It contains four parts:
[1]MATLAB function:diffusion.m gauss.m
[2]Linear diffusion
Applying linear diffusion to images creating linear scale-space.
MATLAB code: demo_lin.m
Image: haifa1.bmp
[3]Linear complex diffusion
Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m
[4]Nonlinear diffusions:
Perona-Malik ["Anisotropic diffusion"]
Catte et al. regularization of P-M
Complex ramp-preserving diffusion
Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects.
MATLAB code: demo_nldif.m
Image: ct_scan.bmp)
- 2009-02-19 16:35:30下载
- 积分:1