-
MRF(matlab)
一个很好的马尔科夫随机场（MRF）模型应用实例。(Examples for the application of markov random field.)
- 2011-12-21 20:35:29下载
- 积分：1
-
PHD_single_MM
用于单目标追踪的多模概率假设粒子滤波程序(MM-PHD for single target)
- 2013-05-07 11:16:39下载
- 积分：1
-
Gabor和Log Gabor
说明： 包括三种gabor方案，3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)
- 2019-05-30 19:38:12下载
- 积分：1
-
CLAHE
网上下的CLAHE的matlab程序，原先运行有点问题，我修改了下，保证可以通畅运行了。(CLAHE algorithm for image enhancemnt)
- 2012-04-24 14:45:22下载
- 积分：1
-
basicprocessing
图像位平面分割，高斯金字塔生成与复原，图像4因子下采样等基本操作，有详细的代码注释。(Image bit-plane partition, Gaussian pyramid generation and recovery, image down-sampling factor 4 basic operations, the code has detailed notes.)
- 2008-04-11 08:26:44下载
- 积分：1
-
dc445
FMCW调频连续波雷达的测距测角，能量熵的计算，ICA（主分量分析）算法和程序。( FMCW frequency modulated continuous wave radar range and angular measurements, Energy entropy calculation, ICA (Principal Component Analysis) algorithm and procedures.)
- 2017-05-29 17:10:43下载
- 积分：1
-
SRCNN
基于深度学习的图像超分辨率算法。
参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014)
(Super resolution based on deep learning
Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014))
- 2021-04-18 20:48:57下载
- 积分：1
-
movingobjectdetection
在静态背景下的运动目标检测程序，在windows 7 系统下运行的MATLAB版程序代码(moving object detection)
- 2017-12-27 12:25:42下载
- 积分：1
-
ncut_multiscale_1_4
ncut分割算法matlab代码，实现图像分割的较好的方法(ncut segmentation algorithm Matlab code to achieve a better image segmentation methods)
- 2020-10-29 20:19:56下载
- 积分：1
-
wavelet_denosiy
说明： Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)
- 2019-12-18 17:23:27下载
- 积分：1
