SVD-based-watermarking

我从网上经过搜索和整理得到了大家想要的图像处理类：CImageObject，这个类库中包含了两个完整类：CImageObject类和ImageLoad类，包中也包含有*.h,*.lib,*.dll等相应的文件。相信你一定用得着！它们可以处理BMP、GIF、PCX、TGA、JPG、TIF格式的图像文件。(I am from the Internet after a search and organize by the U.S. want to deal with categories of images: CImageObject, this library contains two types of integrity: CImageObject category and ImageLoad category, the package also contains*. h,*. lib,* . dll, such as the corresponding documentation. Trust that you will certainly need it! They can handle BMP, GIF, PCX, TGA, JPG, TIF format image files.)

大气校正软件MODTRAN4.3.1，MODTRAN里提供了6种差异显著且有代表性的大气模型，这些模型的温度、水汽、臭氧廓线都有明显差异。近北极冬季模型（Sub-Arctic Winter）具有最低陆表温度，中纬度冬季模型（Mid-Latitude Winter）次之；热带模型（Tropical）和中纬度夏季模型（Mid-Latitude Summer）具有最高的陆表温度。对流层顶，热带模型的温度反而是最低的，而近北极夏季模型（Sub-Arctic Summer）具有最高的温度。在这6种模型中，除陆表外的第二温度峰值高度出现在海拔50km左右，这里近北极夏季模型具有最高温度，中纬度夏季模型与之近乎相等，在这个海拔上近北极冬季模型的温度是最低的。1976美国标准模型（1976U.S. Standard）在这一系列模型中提供了一个近乎与中位数值的选择。(Atmosphere Correction Software Modtran 4.3.1, it provides six distinct and representative atmospheric models with distinct differences in temperature, water vapor, and ozone profiles.)

利用V4L2协议进行图像处理的编程框架结构(The utilization the V4L2 protocol for image processing programming framework structure)

说明：  基于matlab和simulink的很好的例子(Matlab and Simulink based on the good example)

说明：  SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。(different area SIFT algorithm which is better than the original SIFT and KD tree match.)

分割点云，并通过局部拟合求取法向量，实现点云压缩(Split point cloud, and through local fitting strike normal vector of point cloud compression)

一个医学图像配准的源程序，希望对大家有用(A medical image registration of the source, in the hope that useful to everybody)

帧间差法实现视频对象的分割，进行运动目标的检测小程序。(The frame difference method of video object segmentation, moving target detection procedures.)

说明：  利用matlab对图像进行双线性插值处理，具有良好的实现效果，亲测亲试。(Using matlab to process the image by bilinear interpolation, it has a good effect to realize the pro-test.)

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)