KPCAandPCA

这本教科书，介绍了稀疏和多余的申述，对信号和图像处理应用的重点。的理论和数值基础处理前的应用进行了讨论。信号源的数学建模一起讨论如何使用适当的模型，如去噪，恢复，分离，插值和外推法，压缩，采样，分析和合成，检测，识别，多任务。这次报告会是优雅和迷人的。(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing )

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)

通过对于CT图像的读取来进行三维的脑部显示，有助于学习基于matlab的CT图像三维重建过程(Conducive to learning through the reading of CT images to three- dimensional brain display matlab- based CT image 3D reconstruction process )

此代码实现了基于Multiphase的level set图像分割算法，得带速度快，通过调整参数可以获得很好的分割效果。(This code-based Multiphase the level set image segmentation algorithm, was with the speed, by adjusting the parameters can get very good segmentation results.)

图像处理系列之边缘检测篇 涵盖内容： 1>Roberts算子 2>Prewitt算子 3>Sobel算子 4>Laplacian算子(Edge Detection)

实现一个信号的WVD变换，针对的信号是非平稳的随机信号(To achieve a WVD transformation of a signal, the signal is a non-stationary random signal.)

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

光谱微分（一阶、二阶微分）对高光谱遥感图像进行最佳波段选择 (Spectral radiant brightness)

humanface detection,the programme can be used to detect human faces from the complex background!(humanface detection, the program can be used to detect human faces f rom the complex background!)

说明：  主要颜色谱 计算主要的颜色来舍弃其他的颜色，用少数的颜色个数代替大多数进行聚类(Main color spectrum calculation primary colors to abandon other colors)