myidwt2

本程序应用相位一致性进行边缘检测，较以往应用灰度信息进行边缘检测算法，该算法与光照无关，且抗噪声性能强(phase of the application process consistency edge detection, gray than in the past Application information edge detection algorithm, The algorithm has nothing to do with illumination, and strong anti-noise performance)

由图片对应点数据计算穆勒矩阵，并对其进行极分解，求得其3个分项，同时计算其各项指标参数(The Muller matrix is calculated by the corresponding data of the image, and the polar decomposition is carried out to obtain the 3 sub items, and the index parameters are calculated at the same time)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

压缩感知重构算法--固定点延拓法，用于大规格图像重构处理(Compressed sensing reconstruction algorithm- a fixed point continuation method for large size image reconstruction process)

利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征(Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image Feature)

实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法(Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm)

自动前背景分割，基于超像素、形状和外观前验概率及图切割(A novel foreground/background segmentation algorithm that attempts to segment the interesting objects from the rest of the image.The model includes a geometric prior and an appearance prior, whose parameters are learnt on the fly from images that are similar to the query image. It uses graphcut based energy minimization to enforce spatial coherence on the model’s output.)

用SAV函数实现分析图像数据的实用程序，功能上基本可以实现的。(with HBV Function analysis of image data of practical procedures, the basic function can be realized.)

用小波去噪，不同尺度下的阀值去噪，去噪效果的对比(With wavelet denoising threshold denoising different scales, denoising effect contrast)

校正图像倾斜的程序，很好用，可以纠正几何投影变形(Image tilt correction procedures, very good use, you can correct the distortion geometric projection)