fftlowpass

一种带有自适应阈值和动态支持区域的CSS角点检测算法，其效果被认为优于目前所有的CSS角点检测算法和大多数的其他类型角点检测算法。(a curvature scale space corner detector with adaptive threshold and dynamic region of support, it is considered to be the one of the best corner detection algorithms.)

说明：  对二维图像进行分形维数的计算，采用差分盒维数进行计算，并且进行了拟合误差的计算(The fractal dimension of two-dimensional image is calculated by using the differential box dimension, and the fitting error is calculated)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

图像压缩实例，使用函数wdcbm2()获取信号压缩阀值(the example for image compression using wdcbm2() which is a wavelet function )

说明：  图像预处理，灰度化，滤波，将图像输入后经过算法得到灰度图，然后进行后续一系列转化，拟合圆和椭圆曲线(Image preprocessing, graying, filtering)

标准单纯性算法程序,不知能否满足大家需要,()

利用ItextSharp进行签名

图像质量评价的一个重要的指标：平均结构相似度（MSSIM），比PSNR有更好的性能，并且计算简单。(Image quality assessment is an important indicator: Average structural similarity (MSSIM), better than the PSNR performance, and easy to compute.)

基于RGB的彩色图像分割方法，可在matlab里直接使用(Study of color image segmentation algorithm)

说明：  光流法处理车辆视频，读取视频，分析单帧图片，得到光流图片(The optical flow method processes the vehicle video, reads the video, analyzes the single frame picture, obtains the optical flow picture)