vc++编写的实现图像几何转变的程序，源程序包含在sourse目录下...

在图像处理中，主要用于图像的二值化处理。-In image processing, mainly for image binarization.

sift图像匹配算法实现 两幅图像合并成一幅图像-image matching algorithm sift two images into an image

JPEG2000的标准实现软件，功能强大，性能比Jasper和OpenJpeg出色，版本号V2.2.3-JPEG2000 standard software, powerful, performance than the Jasper and OpenJpeg excellent version V2.2.3

图像增强（基于利用模板操作的平滑处理，中值滤波处理）-Image enhancement (based on the use of templates smoothing operations, median filtering treatment)

JPEG2000支持的图象格式主要有JP2和j2c，该程序可以在这两种格式之间进行转换，主要处理的是头信息的差异-JPEG2000 image format supported by major JP2 and has j2c, the program can convert between two formats, the main deal is the first difference of information

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用2维模板(模板是由黑白相间的格子组成，格子大小60cm×60cm)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 2-D template (template is composed of black-and-white lattice, lattice size of 60cm × 60cm) calibration procedures, better interactivity, each corner through the automatic acquisition of mouse clicks.

bp神经网络在图像压缩中的应用源代码，欢迎下载。-bp neural network in image compression source code, welcome to download.

图像傅立叶变换(频域变换经典代码)，相信大家在学数字图像处理时，老师一般都要求学生用C++来实现图像Fourier变换，有了这个实例，就方便多了。_带图片可测试-images Fourier transform (frequency domain transform classic code), I believe we learn in digital image processing, teachers generally require students to use C Image Fourier transform, the existence of such examples, more convenient. _ Can be tested with pictures

给定输入信号以及信噪比，计算出对应的噪声-For a given input signal and the signal to noise ratio to calculate the corresponding noise

详细讲解了三维OBJ格式。OBJ文件简单，易解析，对于初学三维图像处理的人来说值得学习。-Gave a detailed 3D OBJ format. OBJ file is simple and easy resolution, three-dimensional image processing for the beginner who is worth learning.