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DLP 投影仪开发手册，作为结构光投射设备，可以达到实时重建的功能(DLP Projector Development Manual, as structured light projection apparatus, can achieve real-time reconstruction of functional)

调用标定好的双目摄像机，利用其内外参数进行立体匹配，计算所拍图像的视差，产生深度图(Call the calibrated binocular camera, use its internal and external parameters for stereo matching, calculate the parallax of the captured image, and generate depth map)

twain_vb源码,图像设备与计算机软件接口程序(twain_vb)

对图像进行中值滤波，代码调试通过，附有lena图像(The image is filtered by median filter, the code is debugged and passed, and the Lena image is attached.)

基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。(Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image classification. And for single target image segmentation and target image segmentation, introduced detailed.)

说明：  modis一般是hdf数据，使用MRT（MODIS Reprojection Tool）工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))

说明：  通过偏振进行图像处理和图像复原，利用大气光和物体反射光的光学模型进行复原(Image processing and restoration are carried out by polarization, and restoration is carried out by optical model of atmospheric light and object reflected light)

能够实现对高光谱数据影像的平滑，可以根据需要设置平滑参数并且能够批量处理(Hyperspectral Smooth)

visualC 数字图像模式识别与技术详解，书籍源码部分。(visual C digital image pattern recognition and techniques detailed books source parts.)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)