BP-Classification

图像配准和拼接，肯定可以使用。。。harris+ransac(Image registration and stitching, they can definitely use. . .)

图像拼接，用于合成全景图像，VC++开发环境，C++实现。(Image Stitching)

图像处理的IPP库使用手册，包括每个函数的使用说明，以及参数的意义。(IPP library of image processing using the manual, including instructions for each function, as well as the significance of the parameters.)

本程序实现了基于梯度金字塔的图像融合算法，效果还不错，可以参考一下。(This procedure based on the gradient pyramid implementation of image fusion algorithms, the effect was not bad, you can reference.)

完整的可运行AAM模型的matlab代码，附有测试图像，matlab 2009测试通过(Complete AAM model can run matlab code, with a test image, matlab 2009 test pass)

求取相机响应函数，并绘制相对曝光量-灰度曲线(Camera response function, and draw the relative exposure- gray curve )

摄影测量点云，三维激光点云进行点云特征图像提取进行格网化代码(Photogrammetric point cloud, 3D laser point cloud, point cloud feature image extraction for grid code)

图像去噪，小波硬阈值滤波，sym4小波基函数(Image denoising and hard threshold wavelet filtering, sym4 wavelet basis function )

photoshop的各个效果的详细介绍，方便研究photoshop的各种算法，值得一看啊！！(photoshop detailed description of the various effects, photoshop various algorithms to facilitate research, worth ah! !)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)