-
图像去雾
基于MSRCR和SSR算法实现一个基本的图像去雾程序(A basic image fogging program based on MSRCR and SSR algorithm)
- 2018-07-19 09:26:15下载
- 积分：1
-
6s
遥感图像运用6S工具来进行大气辐射校正处理(Atmospheric Radiation Correction Processing Using 6S Tool for Remote Sensing Images)
- 2019-06-20 18:12:10下载
- 积分：1
-
Match
匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)
- 2013-12-13 23:14:37下载
- 积分：1
-
IMM
IMM算法，用于机动目标的精确跟踪和定位，该模型集考虑了三种典型子模型:CV,CT,CA. (interacting multiple model (IMM) code for target tracking )
- 2012-11-30 09:52:14下载
- 积分：1
-
10
说明： 在IDL中将.nc格式的数据读取并绘图，文件夹中附有示例数据。(Reading and drawing data in.Nc format in IDL)
- 2018-01-14 18:00:51下载
- 积分：1
-
Graph_Cut
Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 (Graph Cutshi recently in computer vision research and application of a relatively large number of optimization algorithms, typical for the stereo matching, image restortion, texture synthesis applications, the above code gives the graph cut, mean shift, and the associated ppm/pgm images an excuse, it is used for stereo matching, and has been related to matching the code to realize removed. U.S. can also be used as a platform to do some related research and applications.)
- 2008-03-03 22:26:01下载
- 积分：1
-
DCTbook
书上的简单DCT图像处理程序，最基本的DCT，简单，价值低(Book on the simple DCT image processing program, the most basic DCT, simple, low value)
- 2017-04-05 13:01:00下载
- 积分：1
-
SVM
说明： 基于opencv的支持向量基（SVM）的代码，利用SVM解决2维空间向量的3级分类问题。(Opencv-based support vector machine (SVM) of the code, the use of SVM to solve 2-dimensional vector space of three classifications.)
- 2009-08-03 11:28:59下载
- 积分：1
-
SiftGPU-V370
说明： 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
)
- 2011-02-23 10:20:27下载
- 积分：1
-
NR
说明： 基于邻域的比例算法求两幅图像的差异图，用于变化检测。(The proportion of neighborhood-based algorithms to find the difference of the two images map for change detection.)
- 2013-04-14 11:19:19下载
- 积分：1
