OpenCV官方教程中文版(For Python)

说明：  常见的图像处理算法都有介绍，包括分割、插值、平滑、锐化、图像增强、几何变换、图像金字塔，图像配准、模板匹配等(Common image processing algorithms are introduced, including segmentation, interpolation, smoothing, sharpening, image enhancement, geometric transformation, image pyramid, image registration, template matching, etc)

对监控视频中的目标进行识别，提取背景信息(The target in the surveillance video is identified and background information is extracted)

基于二阶差分的红外小目标检测,用于检测远红外图像中的弱小目标(Second-order difference-based infrared small target detection, used to detect far-infrared image of the small target)

Matching Pursuit 算法，该算法能够把Gabor原子集合，用线性组合表示，能够降低运算量。(Matching Pursuit algorithm, which can Gabor atomic collection, using a linear combination that can reduce computational complexity.)

在图像边缘点上计算边缘法向量, Compute the norm vector at the boundary(compute the norm vector at the boundary)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

一个老外开发的地质统计学matlab工具箱,具有较全的统计算法如克里金(A foreigner and development of geostatistics matlab toolbox, has the full statistical algorithms such as kriging)

说明：  可以将有重叠部分的多张图片拼接成一张全景图片(You can stitch multiple images with overlapping parts into a single panorama)

基于小波的人脸识别算法的matlab实现(Face recognition based on wavelet algorithm to achieve the Matlab)

直方图自适应模糊分割算法，基于图像直方图统计信息的模糊分割算法，算法简单，速度快(Histogram adaptive fuzzy segmentation algorithm, based on image histogram statistics of the fuzzy segmentation algorithm, algorithm is simple, fast)