integral2

利用Haar-like算法提取人脸特征，在matlab软件中进行人脸检测。(Haar-like algorithm is used to extract face features and face detection in MATLAB software.)

在Matlab中建了图形用户界面，采用不同特征提取方式，如gray，color，lbp，灰度共生矩阵GLCM等，对数据集中的影像进行场景检索。(Graphic user interface is built in Matlab. Scene retrieval of images in dataset is carried out by using different feature extraction methods, such as gray, color, lbp, gray level co-occurrence matrix (GLCM).)

说明：  基于GEE平台的Landsat5 SR影像去云及NDVI计算(Landsat5 SR image cloud removal and NDVI computing based on GEE platform)

说明：  用VC实现数字减影算法，通过模板匹配，再对两幅图像相减，即用盈片中减去蒙片，从而实现突出血管区域的目的。【源码加文档说明】(Using VC to achieve digital subtraction algorithm, template matching, and then the subtraction of two images, that the film with surplus minus mask, in order to achieve the purpose of highlighting vascular region. 【Source】 plus documented)

1维LBP算法，在一维上做LBP算法，用于提取微表情特征(1-dimension LBP，abstract microfacial expression features)

易语言2D游戏引擎模块源码，易语言写的图形图象编程源码，很好的参考。(Easy language 2D game engine source module, easy language to write the graphics programming source code, a good reference.)

本文提出了一种基于数字图像轮廓特征的机械零件自动有 效识别的系统。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图 像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的 目的。(This paper presents a digital image based on the outline of the characteristics of mechanical parts automatically effective identification system. Utilization of industrial camera lens as a substitute for visual sensors, through photoelectric conversion, image sampling, image processing, image analysis to identify a series of operations to achieve the purpose of identification of mechanical parts.)

文件包提供小波变换的vc实现，包含基于小波变换的图像小波域分析，为后续处理提供参考(Package provided by wavelet transform vc realize that contains the image based on wavelet transform wavelet-domain analysis, provide a reference for follow-up treatment)

该算法实现车牌快速自动识别,建立了车牌字符库和车牌图象,可以直接运行(The algorithm quickly realize automatic license plate recognition, license plate character set up libraries and license plate images can be directly run)

数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量(Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of)