Roma_MATLAB

利用matlab实现了图像增强的功能，里面包含一些目标较新的算法，同传统方法，对学习图像增强有很好的帮助(Using matlab to achieve the image enhancement function, which contains some of the objectives of the newer algorithms, with the traditional methods of learning have very good image enhancement to help)

根据图像的边界进行轮廓跟踪来获取图像的外轮廓线(The image of the contour tracking to obtain an image of the outer boundary contour)

经典的图像处理常用图片，包括Lina，Barbana, Cameraman(Classic image processing commonly used pictures, including Lina, Barbana, Cameraman)

基于样图的纹理合成 效果很好的块匹配合成(Based Texture Synthesis from Samples effective synthesis of block-matching)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好(otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better)

基于RGB的彩色图像分割方法，可在matlab里直接使用(Study of color image segmentation algorithm)

说明：  残差灰色模型的改进算法。可以得到高精确度的预测，很实用，并附有测试文件(Improved algorithm for gray model residuals. Can be predicted with high accuracy, very practical, with a test file)

PCA+Fisher人脸识别，已在ORL人脸库上测试，效果不错(face recognition,including PCA and Fisher methods.)