gibbs

利用hough变换检测圆，有RHT，随机hough变换，以及一些改进(Using Hough transform to detect the circle)

说明：  基于小波变换的数字水印嵌入程序（将二值图像嵌入尺寸相同的灰度图象中）(based on wavelet transform digital watermark embedding process (will embed binary images the same size as the gray image))

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

RINGSDK包含界面库和图象库,我编译过，可以使用(RINGSDK is a interface lib )

说明：  小波降噪，运用小波工具将图像进行分层处理，可以得到降噪后的图像，含有凯斯西储大学轴承数据(Wavelet de-noising: the image is layered by using wavelet tools, and the denoised image can be obtained)

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)

说明：  此源码可对图像进行Ncut分割，并且集成了特征提取和SVM分类的功能。(This source can be Ncut image segmentation, and integrates the feature extraction and SVM classification function.)

使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

用TV算法实现图像去噪，包含TV，PM模型等(in this MTV, the diffusion is along the edge direction of the original noisy image(maybe its smoothed version using a Gaussian filter of small scale),it can preserve edge and suppress staircase very well.)

采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a conrmation-by-classication method to estimate condence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)