Pilot

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

说明：  自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

能针对二值图像进行曲线的提取. 对于背景不太复杂的图像，效果可以。 只针对单像素(extract curve from binary image only for single pixel line.)

重要的纹理分割分类基础程序，可以进行更深入的探讨和优化，应用于遥感影像中。(Important basis for classification of texture segmentation procedure can be carried out more in-depth exploration and optimization, application of remote sensing images.)

使用Matlab实现LMS自适应滤波，实现的主要功能有：读入原始音频，加入高斯噪声后用LMS自适应滤波滤除，比较原始音频，加入噪声音频和滤波后音频的区别。(Matlab achieved using LMS adaptive filtering to achieve the main features are: read the original audio, adding Gaussian noise is filtered using LMS adaptive filtering, comparing the original audio, add audio and noise filtered audio difference.)

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

用来计算水印算法中的psnr值，非常好用一直在用这个(Watermarking algorithm used to calculate the value of psnr, very easy to use )

用C编写程序来求解圆的面积和周长，这是以前的一个实习作业。(Write a program in C to solve the area and perimeter of a circle, which was previously an internship job.)

基于MATLAB GUI的图像处理界面，包括基本的图像处理功能(Graphical interface construction based on image processing)

关于运动目标检测基础算法，混光流法合高斯模型、均值法、及帧间差分法(Moving target detection algorithm based on mixed Gaussian model optical flow together, mean method, and the inter-frame difference method)