vc++编写的实现图像几何转变的程序，源程序包含在sourse目录下...

实现图像数据的JPEG-LS标准的压缩，可以实现无损压缩也可以进行有损压缩-Realize image data standard JPEG-LS compression, lossless compression can be lossy compression can also be carried out

数字图像处理，将灰度图象取垂直或水平方向的镜像-Digital image processing, the gray-scale images from a vertical or horizontal direction of the mirror

图象滤波(中值滤波,垂直镜像处理,水平镜像处理)-image filtering (filtering, the vertical image processing, image processing standard)

该代码主要是实现图像的边缘检测，通过Robert算子、Sobel算子以及Prewitt算子来实现边缘检测-The code is mainly the realization of image edge detection, through the Robert operator, Sobel operator and Prewitt operator to achieve edge detection

AdaBoost的Matlab程序，非常通俗易懂，适合初学者学习AdaBoost的运算流程-AdaBoost the Matlab program, very user-friendly, suitable for beginners to learn computing AdaBoost flow

合成孔径雷达目标的特征提取及其识别技术。国防科大写的！-synthetic aperture radar target feature extraction and recognition technology. Written by which this university!

利用小波分解与重构,实现图像压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.

canny算子 铝箔 用于图像边缘检测 和高斯铝箔-canny operator foil for image edge detection and Gaussian foil

：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.

关于active tracking的算法了，利用了OPENCV中的camshift的算法-On the active tracking algorithms, and use of OPENCV algorithms camshift