资源列表
GoldsteinUnwrap2D
- phase unwrapped光学相位测量，相位解包算法，求得解包裹相位-phase unwrapped
Bayesian-Modeling-of-Dynamic-Scenes
- 一种针对动态场景环境下的目标检测的贝叶斯模型-Bayesian Modeling of Dynamic Scenes for Object Detection
harris
- Harris角点检测C++版本，编写代码实现而非OPENCV实现，适用于算法研究。-The C++ code of HarrisCorner.It was coded by hand otherwise OPENCV.It was designed for someone who study the algorithm.
DCT_Gaosi_fenkuai
- 对256*256大小的8bit灰度lena图像进行仿真 将图像分为16*16的分块进行计算 稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法- 256* 256 size lena image simulation 8bit grayscale image is divided into 16 * 16 calculate block sparse matrix using DCT matrix, observation matrix using Ga
DWT_orth_eye
- 本程序实现Lena图像的压缩传感，测量矩阵采用部分正交矩阵，重构算法采用OMP重构算法-This procedure Lena image compression sensing, measurement matrix using some orthogonal matrix, reconstruction algorithm using OMP reconstruction algorithm
COSAMP
- 压缩感知中重构算法，压缩采样匹配追踪算法，它属于贪婪算法，效果相对于MP,OMP 要优越-Compressed sensing reconstruction algorithm, compressive sampling matching pursuit algorithm, it belongs to the greedy algorithm, the effect relative to the MP, OMP superior to
sp
- 压缩感知重构算法，子空间追踪匹配算法。它属于贪婪算法，在运行速度和重构概率上相对传统算法上要优越。-Compressed sensing reconstruction algorithm, subspace tracking matching algorithm. It belongs to the greedy algorithm, the running speed and reconstruction probability is relatively superior to the tr
Wavelet-transform-and-its-recovery
- 图像小波变换及其复原，可以实现小波变换的图像融合，使用vc++和opencv编写-Wavelet transform and its recovery can be achieved on wavelet transform image fusion, and opencv prepared using vc++
DLT
- 基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法-Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method
cvprcode
- 这个代码是基于论文“Saliency Detection via Graph-Based Manifold Ranking”下的程序源码，作者是Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan 功能1：使用canny算子计算图像的二值边缘图 -The code is for paper "Saliency Detection via Graph-Based Manifold Ranking" by
localMaximum
- matlab函数，将多维矩阵的极值找出并定位，图像处理经常用到，很简单很好用-matlab function, multi-dimensional matrix to identify and locate the extreme, often used in image processing, it is very simple to use
shuiguoshibie
- 实现水果识别，非常适合初学者使用，经本人验证程序完美运行-Achieve recognition fruit, very suitable for beginners to use, as I run perfectly verification process