资源列表
MATLAB.rar
- 基于自组织神经网络数据及图像处理，在图像分割中应用极强。很好的源程序。 ,Self-organizing neural network-based data and image processing, image segmentation in the application of highly. Very good source.
psnr_nmse_rms.rar
- 通过matlab编写的几个关于PSNR、mse的图像处理的小程序。,Matlab prepared through a few on the PSNR, mse small image-processing procedures.
LBP.rar
- 人脸识别提出的LBP特征计算程序，简单实用的特征，可以得到统计的直方图特征,LBP features of face recognition proposed by the calculation procedure, simple and practical features of the histogram statistics can be characteristic of
original Weight.rar
- SAR图像Lee提出的最优加权算法，并附带计算相关系数的性能指标计算。,SAR image Lee proposed the optimal weighting algorithm, and calculating the correlation coefficient attached to the calculation of performance indicators.
mcmcstuff.rar
- 本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档,toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods
toolimage.rar
- 利用MATLAB编写的atrous算法程序,可适用于图像的多级小波分解,Prepared by the use of MATLAB algorithms Atrous procedures could be applied to image multi-level wavelet decomposition
resample.rar
- 利用IDL程序重采样（resample）MODIS影像,很有帮助呢，大家看看,IDL procedures for the use of resampling (resample) MODIS images can be helpful, let us look at
Duffing_Cao.rar
- CAO方法求DUFFING方程的嵌入维数,CAO method DUFFING equation for embedding dimension
CurveLab-2.1.2.rar
- CURVELAB程序，用MATLAB语言编写，通过调试了，并且比较简单,CURVELAB procedures MATLAB language used by the debugger, and relatively simple
Houghtransformation.rar
- 将霍夫变换与最小二乘法相结合,研究对实验数据和图像处理中的二值边缘图进行直线拟合的方法。 首先,用霍夫变换剔除数据点集中的干扰点或噪声,并将分布在不同直线附近的点分离出来 然后,用最小二乘法 拟合各直线。该方法既解决了直接使用最小二乘法拟合时,拟合直线易受干扰点或噪声的影响和数据点分布在 多条直线附近而无法拟合的两个问题 同时也解决了直接使用霍夫变换时,拟合直线精度不高和直线段有效区间 不容易控制的问题。,The Hough transform and least squares me
sobel8grad
- 一种新的图像清晰度评价函数,该函数对经典采用八方向模板Sobel边缘检测算子来检测梯度值-a clarity-evalua tion function was researched. An improved eight model Sobel function was proposed,
Texture_Synthesis
- 结合opencv实现纹理合成，比较基础的实现，还有待改进-Opencv combination of the texture synthesis, comparison-based implementation could be improved