OpenCV on the help of documents, has a very good reference.

针对红外图像序列运动目标检测和识别,针对复杂动态场景下的红外目标检测问题，提出了一种基于交叉熵的过渡区提取的红外运动目标检测方法,保证是原创，自己辛苦的作品）-infrared image detection

这是刚才代码的文章。英文的，希望对大家有用-This is just the article code. English, in the hope that useful to everybody

角点检测： 最简单的一种角点检测算子，但是由于采用了非最大化抑制，效果和OpenCV相当 输入的ImageGray为图像的灰度描述，WBPoint为Boolean数组，ImagePoint为标准角点检测算子运行后的检测值。-Corner Detection: The simplest type of corner detection operator, but due to the non-maximization of inhibition, the effectiveness and OpenCV considerable input ImageGray description for gray-scale images, WBPoint for Boolean array, ImagePoint standard corner detection operator After the detection of sub-run value.

一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除-A series of image compression technology to display the source code. Include: the use of block truncation coding for image compression (Block Truncation), based on the Gaussian pyramid transform for image compression (Gaussian Pyramids), based on the discrete cosine transform for image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) Image compression (Singular Value Decomposition). Given code can also be used in 2D image noise cancellation

是图像处理的程序，但是没有完善后面的还请各位大虾添加-Is the image processing procedures, but did not improve the back also please add shrimp

dicom的转换程序，可转成bmp，jpg，pnm等，一群德国牛人写的，超强-DICOM conversion procedures, could be converted into bmp, jpg, pnm, etc., a group of cattle were written in Germany, super-

dual filter ht equals primal filter h (orthogonal transform) ％ creates Daubechies orthogonal filter -dual filter ht equals primal filter h (orthogonal transform) creates Daubechies orthogonal filter

在Vb中用MO控件实现画圆、画矩形、画多边形等功能-Vb used in the control MO drawcircle realize painted rectangle, polygon features such as painting

用形态学方法提取骨架线,由明暗度提取外形信息,LOG滤波器提取边缘-morphological Skeleton extraction methods, for the purpose of extracting information form, the edge detection filter LOG

这是一个比较另类的图像库，它本身并不提供对图像对象的封装，只以类似插件的形式为您提供图像处理算法的封装和进度显示，而图像对象的封装则需由用户来提供。 本图像库平台无关，理论上它可以应用于任何已有的C++图像类上。 -This is a rather different type of image library, it does not provide the image object package, only the form of a similar plug-ins for your image processing algorithms to provide packaging and progress display, and image package should be targeted by user to provide. The image database platform-independent, in theory, it can be applied to any existing C++ Image category.