资源列表
cqtvf
- For feature reduction, feature fusion, correlation analysis, Car class-based truck driver trying to Matlab program, Matlab to achieve user-friendly.
fd822
- Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Mutual information is useful to calculate a set of procedures, Conducted through virtual array DOA estimation.
Edge-Detection
- An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers. Here is a crude video that
ImageProcessing-master
- Canny Edge Detection And Hough Transform Line Detection The code is written in Visual C++. USING THE MAIN CODE The Input images have to be ".bmp" format and the output image must be saved as ".bmp" format. In the main co
ComputerVision-Problems-master
- Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
AutoCanny-master
- Zero-parameter, automatic Canny edge detection with C++ and OpenCV. This is a conversion of Adrian Rosebrock's python scr ipt to c++. Everything is contained in the include folder in auto_canny.h There's an simple code in src/main.cpp to rea
speckle
- 用相关搜索法和曲面拟合算法计算图像的位移，精确到亚像素级。(The displacement of the image is calculated by correlation search method and surface fitting algorithm, which is accurate to sub-pixel level.)
DeNoising
- 几种小波变换去噪的算法，可以运行在win2000,和XP。(Denoising algorithm based on Wavelet Transform)
fm_gui_v2
- 该程序有3个函数，主要用于图像跟踪，可稳定跟踪目标。(The program has 3 functions, mainly used for image tracking, stable tracking target.)
NiceChart
- Chart with extended functions on drawing
PolarChartcomponent1.3tslxpolarchart1.3
- Printing graphics in polar coordinates Can be used as smith-diagram (with own coordinate settings)
shearlet_denoising
- 利用剪切波变换的方向性和多尺度特性，在剪切波变换域中进行阈值降噪处理(Using the directional and multi-scale characteristics of shearlet, the threshold denoising is performed well in the shearlet transform domain)