harris-match

Matlab图像处理,包含图像平滑、锐化等 图像平滑处理包含均值滤波和中值滤波 图像锐化处理包含拉普拉斯算子和Roberts算子、Prewitt算子和Sobel算子(Matlab image processing, including image smoothing, sharpening and other image smoothing with the mean filter and median filtering image sharpening with the Laplace operator and the Roberts operator, Prewitt operator and Sobel operator)

图像处理，图像分割，图像变换，图像特征提取，图像增强，图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

（2001何斌+光盘）Visual c++数字图像处理（第二版），使用VC进行数字图像处理的相关资料，十分实用！((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)

VapourSynth-BM3D-master BM3D算法的原创代码，运行速度超快，参考文献《Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering》(VapourSynth-BM3D-master BM3D original algorithm code, run super-fast, Reference " Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" )

采用 MATLAB 开发环 境，提出了一种图像信息隐藏算法，实现了图像信息隐藏的两大基本功能，即信息的嵌入和信息的提取．同 时，模拟常见的攻击方法，验证了添加隐藏信息后的图像的抗攻击能力(Using MATLAB to develop the environment, an image information hiding algorithm is proposed, which realizes two basic functions of image information hiding, i.e. information embedding and information extraction. At the same time, common attack methods are simulated to verify the anti-attack capability of the image added with hidden informati)

海杂波生成程序 可以产生两个Bragg峰 对于学习海洋遥感 以及高频地波雷达的同学有很大帮助！(sea clutter)

先进行图像预处理，比如Hough变换，边沿检测，还有差影法，模板提取 ，识别，跟踪，最后是模板匹配。(First image preprocessing, such as the Hough transform, edge detection, as well as poor shadow method, template extraction, identification, tracking, and finally the template matching.)

基于DCT的jsteg图像隐写及分析算法，MATLAB实现。 JSteg的算法主要思想是将秘密消息嵌入在量化后的DCT系数的最低比特位上，但对原始值为O、1的DCT系数不进行嵌入。提取秘密消息时，只需将载密图像中不等于0、l的量化DcT系数的LSB取出即可。(The main idea of the JSteg algorithm is to embed secret messages in the lowest bit of the quantized DCT coefficients, but the DCT coefficients of the original values are O and 1 are not embedded. When extracting secret messages, only the LSB of the quantized DCT coefficients not equal to 0 and l in the encrypted image can be taken out.)

PLSA源码，并附有PLSA理论在图像自动标注中的应用，有几篇具有代表性的论文，论文中讨论了PLSA的改进并应用在图像处理中。(PLSA source code, with PLSA theory in automatic image annotation application, some of the representative papers, thesis discusses the PLSA improvement and application in image processing.)