retinex-nex

SVM进行图像分割 使用OTSU阈值法 效果很好 分割出来直接是二值图像(SVM for image segmentation using the OTSU thresholding method works well split up directly from the binary image)

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)

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.)

PIVlab - 时间分辨粒子图像测速（PIV）工具： 一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。 使用MATLAB网络研讨会进行人脸识别代码： 使用MATLAB在线讲座的人脸识别中的主要演示文件。 Gabor特征提取： 该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。 主成分分析： 用于特征提取； 链码： 基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool: A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data. Using MATLAB webinar for face recognition code: The main demo file is used in MATLAB online lectures for face recognition. Gabor feature extraction: The program generates a custom Gabor filter bank and uses them to extract image features. Principal component analysis: For feature extraction; Chain code: Surface contour description of Freeman based on MATLAB)

双线性插值图象的旋转源码，程序结合易语言位图操作支持库和图像格式转换支持库，调用API函数和置入汇编代码，实现双线性插值图象的缩放旋转。(Source bilinear interpolation image rotation , combined with easy language program bitmap operations support libraries and image format conversion support library , call the API function and into assembly code , zoom in rotation bilinear interpolation image.)

图像配准的很好的程序，里面用到粒子群算法(image registration is a good procedure, which used PSO)

压缩感知Matlab代码实现，图像压缩采样，OMP重构(Compressed sensing code, image compression sampling, OMP reconstruction)

自己编写fft2和ifft2程序并进行快速傅里叶变换试验(fft2 and ifft2)

程序实现遥感影像中的道路提取算法，可以用于遥感专业目标提取！(Program in remote sensing image road extraction algorithm can be used for remote sensing to extract professional goals!)

图像拼接 sift 特征点，两幅图像进行拼配 拼接，先找找出特征点匹配(The image stitching， sift feature points, two images blending splicing find someone to identify the characteristics of point matching)