danfu

IEEE:数字水印技术引论，其中将达哦水印技术的引出、算法发展、引用等(IEEE: primer on digital watermarking technology, which will lead to Oh watermark technology, algorithm development, quoted, etc.)

空间金字塔，通过对图片不断的进行层次划分，对每一层的图片信息进行整理用于图片分类等(Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories )

基于ROF全变差分模型，用于图像去噪，并利用split bregman算法进行加速运算(ROF points based on total variation model for image denoising, and using split bregman accelerated computing algorithms)

上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。(Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a variety of function curve respectively, the generation, multiple function curve and display the extremum, generated binary image edge tracing, binary image histogram morphology processing, according to the choice threshold, gray transformation, average filtering, particle image analysis, image edge detection, sine curve generation, histogram equalization, histogram display, median filtering, automatic computing threshold.)

自适应光学仿真软件，希望对大家由帮助！我还没有弄明白原理，希望一起学习(Adaptive optics simulation software, I hope all of you by the help! I have not understood the principle, I hope to learn)

图像融合的各种方法，包括IHS变换，PCA变换，小波变换等等(Various methods of image fusion, including IHS transform, PCA transform, wavelet transform, etc.)

说明：  《视觉SLAM十四讲》高翔，完整版，前10章。对视觉定位，机器学习，深度学习有很大帮助(Gao Xiang, the complete version of vision slam 14 lectures, is very helpful for vision positioning, machine learning and deep learning)

说明：  对图像进行中值滤波，去除噪声，并与原图像进行比较(Median filter on the image to remove noise, compared with the original image)

个人感觉最好用最小二乘支持向量机工具箱，特与大家共享！(Personal feeling is best to use least squares support vector machine toolbox, special to share with everyone!)

说明：  本算法是matlab代码，通过icp点云匹配算法实现三维点云的配准(The algorithm is matlab code, and the registration of three-dimensional point cloud is realized by ICP point cloud matching algorithm.)