资源列表
lS
- 基于MATLAB的树叶图像特征分类识别，图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
cvi-TO-Excel
- 在CVI平台上将数据导出到EXCEL中，用C语言编程-In CVI platform will export the data into EXCEL, using C language programming
qwert
- 人脸特征匹配源代码，实现在CVI上能够读取存储在文件夹中的数据，并与程序上的数据进行匹配-Face feature matching source code to achieve the CVI can read data stored in the folder, and with the data matching program on
jimage
- 提供多聚焦图像，共有8组，适合于图像融合-Provide multi-focus image, a total of eight groups, suitable for image fusion
Image-fusion-and-image-registration
- 有关matlab的图像融合与图像配准程序。并附带了程序运行说明，简单明了。-About matlab image fusion and image registration procedures. And comes with a descr iption of the program to run, plain and simple.
edge_detection
- 本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测-This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG o
Visual-secret-sharing
- 利用拉格朗日插值方法实现灰度图像的可视密码共享技术-Implementation of visual cryptography gray image sharing technology using Lagrange interpolation method
TVdenoising-
- 全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，-Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and hi
cscameradata
- rice大学单像素相机测试系统的测试数据与算法源代码，可用于压缩传感技术的学习与研究。-rice university single-pixel camera test system test data and algorithm source code can be used to compress the learning and research sensing technology.
DoubleDensityWavelet
- 二维双密度双树（复数）小波变换包。包含基于小波变换的基本的阈值处理运算。-2-D Double-Density Complex Wavelet Transform。There are two versions of the 2-D double-density dual-tree DWT: (1) The 2-D double-density dual-tree real-oriented DWT, which is 2-times expansive, and (2) The 2-D doub
AnatLevin
- 本算法主要采用变分贝叶斯求解图像忙恢复问题。-This package contains implementations of the MAP_k blind deconvolution algorithms described in the paper "Efficient Marginal Likelihood Optimization in Blind Deconvolution" Levin, Weiss, Durand and Freeman,
CSGIv1.1
- 基于压缩感知的关联成像程序，计算鬼成像，过完备稀疏表示-Based on compressed sensing imaging procedures associated with calculating ghost imaging, over-complete sparse representation