枚举显卡支持的RGB/YUV Overlay的方法及其colorkey的使用.

MATLAB医学图像处理实验（包括14个源代码和课程文档）

本目录存放的是第2章文档的程序源代码，子目录说明： wvltlib 中存放的一些基本的小波基定义和相关库函数； wvltwrefine 中存放的是小波基细化的程序代码； wvltwxfrm 中存放的是一维小波变换的数学实现-Catalog store is the first of the two chapters of the document source code, subdirectories : wvlt lib stored in the basic definition of small Porgy and related library functions; wvlt wrefine stored in the small Porgy sophisticated code; wvlt wxfrm is stored in the wavelet transform one-dimensional mathematical achievement

采用USB CMOS摄像头进行人脸检测，效果很好，可做工程参考-USB CMOS camera used for face detection, the effect of good works can refer to

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

二维图像目标跟踪，用matlab实现，采用了卡尔曼（kalman）滤波算法-Two-dimensional image target tracking using matlab realize the use of Kalman (kalman) filtering algorithm

Visual C++ 数字图像处理典型算法及实现（1）-Visual C++ digital image processing algorithms and implementation of a typical (1)

运用MAD相似性度量准则实现模板匹配程序-use MAD similarity measurement criteria to achieve template matching procedures

采用matlab求解矩阵的逆.本程序采用完全的c语言格式在matlab平台下编制-Using matlab to solve the inverse matrix. This procedure completely the c language format in the preparation of matlab platform

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]

Image Processing FFT Code. C++图像处理FFT代码。-Image Processing FFT Code.