snake_examples

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)

论文+ppt，我的数字图像处理课程设计，题目是基于均值滤波和小波分析的图像去噪方法(Thesis+ppt, digital image processing course design, subject image denoising method based on mean filter and wavelet analysis)

GUI的指纹特征提取,其中用到的处理函数可以自己编写，也可以直接使用Matlab的库函数(Fingerprint character extract in GUI form, within which the functions can be either designed by users or apply the available functions in Matlab)

说明：  基于matlab的加窗傅里叶，使用了hanning窗(Matlab-based windowed Fourier, using the hanning window)

说明：  matlab三维重建程序 完整的程序，入门相当不错，值得学习！(matlab program complete three-dimensional reconstruction process started quite well, it is worth learning!)

图像的腐蚀函数，非常有用，欢迎大家下载，一块进步(Corrosion function of the image, useful, and welcome to download, a progress)

基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)

ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理，极大缩短了搜索图像阈值计算时间，与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点。(ostu threshold image segmentation algorithm for image segmentation Ostu optimal thresholds to optimize the processing, greatly reduces the search image thresholding computation time, with the traditional enumeration method Otsu methods, in the calculation of time has significant advantages.)

用VC实现Canny算子提取图像边缘，提高图像质量(Using VC realize Canny operator extracts image edge to improving image quality.)

对细胞进行分割和追踪的代码，细胞是植物细胞，其中的两篇论文是局部图分割的经典论文，值得一看(To segmentation and tracking code of cells, cells is plant cell, two of the paper is a classic papers of local map segmentation, worth a look)