radon

sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)

一种快速的算术编码程序. 也是JPEG和JPEG2000的部分核心算法.(A fast arithmetic coding procedures. JPEG and JPEG2000 is also part of the core algorithm.)

这个是图像处理中的hough变换的C++源代码，工需要的同学参考学习。(This is the image processing hough transform C++ source code, engineering students need to learn.)

实现快速的 TV去噪，里面有相关的几篇论文 有全面的源代码(de-noising by TV)

说明：  在地震处理中，非常经典的进行时深转换的程序，通常比较好用(In seismic processing, the very classic procedure for time-depth conversion, usually more useful)

偏微分方程_PDEs_模型在图像处理中的若干应用(_PDEs_ Model partial differential equations in image processing)

基于MATLAB的车牌识别系统的源代码(可以实现)(The source code of the license plate recognition system based on MATLAB (can be realized))

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

说明：  用MFC实现将位图进行直方图均衡化处理的源码(MFC to achieve the bitmap with the histogram equalization processing of the source)

为了研究植物的生长规律，应用数字摄影图像处理法对山楂叶面积进行无损测量，该方法采用数码相机在田间获取山楂叶子的数字图像，对所拍图像进行背景去除、二值化及中值滤波处理，然后利用Matlab软件编程．快速计算出叶子的面积。把这一面积同常用的叶纸称重法所测面积进行比较．结果基本相同，由此可见，数字摄影图像法测量叶面积，具有简单、准确、方便快捷的特点．这对数字农业的植物信息快速采集和利用具有重要的意义。 ( In order to study the growth pattern of plants, the application of digital photography and image processing method for nondestructive measurement of hawthorn leaf area, this method using a digital camera to obtain digital images of hawthorn leaves in the field, on the film image background removal, binarization and medianfiltered, and then using the Matlab software programming. Quickly calculate the area of the leaves. This area with the common leaf paper weighing measured by the area to compare. The results are basically the same, shows, digital photographic images method to measure leaf area, with a simple, accurate, and convenient features. This rapid acquisition and use of digital agricultural plant is of great significance. In order to study the growth pattern of plants, the application of digital photography and image processing method for nondestructive measurement of hawthorn leaf area, this method using a digital camera to obtain digital images of )