histogram.m

说明：  简单图像压缩处理，正交变化，图像压缩灰度变化(Simple Image Compression Processing, Orthogonal Change, Gray Level Change of Image Compression)

建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。(A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combination met hod is p roposed for gender recognition of speaker s based on support vector machine and Mel2f requency cep st rum coefficient s (MFCC) for classification and feat ure ext raction respectively.)

高光谱遥感影像数据降维处理 包括线性降维和非线性降维处理(Hyperspectral remote sensing image data to reduce the dimension of linear dimensionality reduction and nonlinear dimensionality reduction processing)

图像拼接：实现两幅具有重叠区域的图像的拼接；使用MFC框架，内有程序使用文档(image mosaicing)

说明：  用曲波变换点边缘检测实现自动恢复受天气影响的图像(Qu Bo transformation point with edge detection for automatic restoration of images affected by the adverse weather)

本人自编的气球SNAKE模型代码，效果还算不错。(I own balloons SNAKE model code, the effect is still good.)

基于快速核独立分量分析的图像反光分离研究 (Fast Kernel independent component analysis based on the image separation of reflection)

：数字水印将感觉不到的信号嵌入到声频、视频和图像中以实现不同的目的。例如: 添加标题和版权保护。首先介绍 了有关数字水印的基本原理、重要属性及其主体框架。然后,将数字水印按不同角度划分为不同种类。讨论了各种各样的数 字水印算法以及数字水印在不同领域的应用,并简要介绍了对数字水印的攻击。最后,给出了数字水印当前的研究现状和发 展形式及前景。(: Digital watermark embedding imperceptible signals to the audio, video and images to achieve different purposes. Example: Add a title and copyright protection. Firstly, the basic principle about digital watermarking, and the main framework of the important attributes. Then, the digital watermark according to different angles into different types. Discussed a wide range of digital watermarking algorithms and digital watermarking applications in different fields, and a brief introduction of the digital watermarking attacks. Finally, the digital watermark of the current situation and development in the form of research and prospects.)

原始的criminisi灰度图像修复算法及实验图片(Original Criminisi grayscale image restoration algorithm and experimental images)

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.)