DIPUM2E_AppendixA

图像处理课程设计——《人脸识别》，用matlab实现的，代码加实现，以及设计报告(Image processing designation of face recognize.)

说明：  一个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解(A more classic two-dimensional empirical mode decomposition procedure code, applied to image feature extraction and decomposition)

利用边缘检测及梯度信息进行图像分割的源码(Using edge detection and gradient information source for Image Segmentation)

用Matlab写的Bayer插值与白平衡算法，包含双线性和边缘检测两种插值算法以及White Patch自动白平衡算法(Bayer Interpolation and white balance algorithm implemented with matlab.)

离散傅里叶变换、离散余弦变化、离散小波变换(Discrete Fourier transform, discrete cosine transform and discrete wavelet transform)

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)

这是sift特征提取源码，详细介绍了算法原理及应用，对图像图形处理专业人员的重要参考价值！(This is the sift feature extraction source, and detailed algorithm and application of important reference value for image and graphics professionals!)

经典的斑块分析算法，计算Blob的源码，算法很好。(Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.)

暗原色先验的视频去雾算法 matlab实现(the code of defog using dark-chanel prior algorithm)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)