read_envi_image

chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。(chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.)

在GPU-CUDA平台上进行SIFT特征提取，加快提取速度(On GPU-CUDA platform SIFT feature extraction, speeding up the extraction rate)

《OpenCV基础教程》于仕琪主编，书中所有源代码下载，基于OpenCV的图像处理技术(" OpenCV-based tutorial," in Shi Qi editor of the book to download all the source code, based on OpenCV image processing technology)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)

说明：  在图像处理中如何进行视频处理，如何从yuv格式的序列中提取出亮度信息，这是后面对视频处理的基础。(In image processing for video How to deal with how to format yuv sequence information extracted brightness, this is the basis of the face of video processing.)

以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测(The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection)

The Mathematics of Medical Imaging-The Radon Transform,Back Projection,Discrete Image Reconstruction,The Fourier Transform,Filters and convolutions

进行分数傅立叶变换的算法，通过该算法可以对函数进行任意分数阶傅立叶变换(For the fractional Fourier transform algorithms, the adoption of the algorithm can function for arbitrary fractional order Fourier transform)

说明：  车牌识别程序，完美识别读取车牌号，配解析ppt。(License plate recognition program, perfect recognition and reading of license plate number, with analysis of PPT.)

很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)