qiepan_v50

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

G729编码和解码的Matlab源程序 调用方法： 1.需要编码时，在 Matlab命令行下输入"G729code(speech)"(请务必保证 speech是已经存在在 Matlab工作区的一个行向量，其中是语音数据)，然后你会在你的文件夹下看到一个"coding.bit"的文件。 2.需要解码时，把"coding.bit"的文件复制到"G729 decoder"的目录下，在Matlab命令行下输入"G729decodermain"，然后你会在文件夹下看到"syn_speech.wav"，那就是重构语音。 enjoy it! (G729 encoding and decoding of the Matlab source code to call methods: 1. The need for coding at the Matlab command line, enter )

为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。(In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. The cascade is controlled by a number of weak linear SVM classifier structure, simple structure, classification of time fast. Cascade structure for the training of each node is given a new SVM quadratic programming model under the framework, which allows each node has a higher detection rate of positive samples and negative samples of appropriate fault detection rate.)

multi scale structural similarity index

matlab codes related to pso.

Voice detection using zero crossing rate and STE

iris pattern recognition for eye scan

反距离加权插值法idw的matlab算法，含文件《IDW在医学断层图像可视化中的应用》及《基于ArcGIS两种空间插值方法的比较》。(Matlab algorithm, inverse distance weighted interpolation method idw file containing " IDW medical images visualization based on ArcGIS two spatial interpolation method of comparison." )

基于MATLAB提供的函数，帮助初学者使用概率统计函数，以及计算概率分布函数的参数。(Based on MATLAB provides functions to help beginners to use probability and statistics functions, and to calculate the probability distribution function parameters.)

salam.I try to upload other three files. please give me a program.