FLL-matlab

对图像进行特征提取，构造合适的特征集合，包括SFS,SBS,SFFS等(failed to translate)

利用matlab实现基于内容的图像检索 (Using matlab content-based image retrieval )

C++，人脸变形，选择图片，在图片中选择一个四边形窗口（人物脸部），然后再在内部选择一个四边形窗口，逆时针选择，然后点击变形直接呈现变形结果，点击动画可以查看人脸变形过程(C++ program, select a picture, choose a quadrilateral window (human faces) in the picture, and then select a quadrilateral inside the window, counter-clockwise to select, then click on the deformation presented directly deformation results, click animated facial deformation process can be viewed)

最大类间方差法图像阈值分割，基于matlab平台，适用于一维二维图像分割(Otsu method of image segmentation, based on matlab platform for one-dimensional two-dimensional image segmentation)

说明：  SOM工具包，包括matlab程序及学习文档(SOM toolkit, including the procedures and learning matlab documentation)

简单图像颜色特征提取，用于自己使用，基本常规的那种(Simple Image Color Feature Extraction)

用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

本算法先将彩色图像变换成灰度图像，在进行基于区域生长法进行图像分割(It segmented image with region growing. Then local adaptation luminance was computed via region-based bilateral filter. It outputted low dynamic range images in conjunction with tone mapping operator. )

一种基于DCT域盲数字水印嵌入程序，在DCT中频系数中嵌入水印，恢复時不用用到原始图像。(Based on DCT-domain blind digital watermark embedding process, in the intermediate frequency DCT coefficients to embed watermarks, when not used to restore the original image.)