workspace03_PSNR

该matlab源码描述了基于局部受限线性编码的图像分类算法(This is an example code for the algorithm described in "Locality-constrained Linear Coding for Image Classification", CVPR 2010. )

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)

用于轴承球与滚道之间，模拟生成非高斯随机粗擦表面(Analog generate non-Gaussian random rough surfaces rub)

说明：  运用OMP、BP、StOMP及MP算法对lena图像进行重构。(Use OMP, BP, StOMP and MP algorithms to reconstruct the lena image.)

de-speckling of noise in medical ultra sound images...

《图像处理的偏微分方程方法》随书光盘完整版 本光碟中包含五个文件夹。 （1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。 （2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。 （3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。 （4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。 本光碟中的所有内容，仅供教学和研究参考。(" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo)

程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)

说明：  贝叶斯压缩感知例子 Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.(Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.)

这是基于张亶，陈刚《偏微分方程的图像处理》书的实验及程序(image processing )

Markov随机场的例子程序，包括ICM，BP算法，matlab编写，共30几个函数。(Markov random field examples of procedures, including ICM, BP algorithm, matlab prepared a total of 30 number of functions.)