LevelSetMethods

说明：  Goldstein滤波方法matlab的实现，可用与ESPI电子散班，Insar条纹图，指纹图滤波使用！(Goldstein realization matlab filtering method can be used with the ESPI electronic dispersion classes, Insar fringe pattern, the use of fingerprint filtering!)

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

MATLAB书写的程序，包括卡尔曼滤波，改进卡尔曼滤波，高斯算法等多个经典算法，这是笔者多年的心血(matlab Generate unscented transformation weights，)

区域生长，基本处理方法是 以一组种子点开始来行程生长区域，即将哪些预定义属性类似于种子的邻域像素附加到每个种子上 (regional growth, the basic approach is based on a group of seed starting point to the growth of regional tour, What about predefined attributes similar to seed the neighborhood of each pixel additional seeds)

C# 水平交错效果显示图像 实例

今年刚更新的最新的工具箱SaliencyToolbox2.3.zip，做图像处理视觉注意力机制相关研究必备的工具。(This year has just updated the latest toolbox SaliencyToolbox2.3.zip, do image processing of visual attention mechanisms related research is an essential tool.)

实现原始的JPEG图片编解码，不借助任何的第三方库，纯C++。(To achieve the original JPEG image decoding, without using any third-party libraries, pure C++.)

衡量图像去噪和SAR图像降斑效果的一些指标，psnr，snr，enl(enl（Equivalent number of looks）)

I WANT SOURCE CODE FOR IMAGE SEGMENTATION

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)