guided_filter

使用二维经验模态分解进行图像的去噪操作，内含三幅测试图片和说明文档(Using Bi-dimensional Empirical Mode Decomposition for image denoising operation)

先对图片进行灰度处理，然后进行高斯滤波，最后得到边缘特征点。(First deal with gray-scale pictures, and then carry out Gaussian filter, and finally get the edge feature point.)

投影积分数字重聚焦，光场相机重聚焦。重聚焦原理。(Integral digital projection refocusing, refocus light field camera. Refocusing principle.)

region wise image segment

说明：  使用Harris角点检测器查找特征。再使用SIFT描述符并匹配两个图像之间的特征描述符。使用RANSAC执行单应。最后把图像包起来缝合。(Use Harris corner detector to find features. Sift descriptors are then used to match the feature descriptors between the two images. Use RANSAC to perform single response. Finally, the image is wrapped and stitched.)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)

detect face and recognition with lpd and pca

说明：  对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比(Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio)

ENVI中的ROI感兴趣文件自动转换成TIFF影像数据文件(ROI To Tiff Files)

一个基于小波模极大值边缘检测的程序，非常好用。(Based on wavelet modulus maxima edge detection program, very easy to use.)