DLA

小波变换实现图像增强的示例，matlab编写。(an example of image enhacement based on wavelet transformation, writed by matlab.)

几个图像中嵌入文本的LSB信息隐藏算法，适合信息隐藏初学者,注释详细(Several images embedded in the text of the LSB Information Hiding Algorithm for Information Hiding beginners, notes in detail)

说明：  Arnold 变换与 Gray 码变换相融合的双置乱算法程序，包括了加密和解密程序(The program of double scrambling algorithm combining Arnold transform and gray code transform, including encryption and decryption program)

通过手动框选目标区域，然后进行自动跟踪，使用的算法是Camshift，自适应均值漂移(By manually selecting the target area, then automatic tracking, using the algorithm is Camshift, adaptive mean shift)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

该源代码包含图像10个不变矩的图像检索，小波模极大值法边缘检测，结合颜色特征与不变矩的图像检索源程序(The source code includes images of invariant moments 10 image retrieval, wavelet modulus maximum edge detection method, combining color characteristics and the moment invariants image retrieval source program)

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)

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)

人脸识别matlab源代码，BP神经网络实现的(face recognition Matlab source code, BP neural network of)

自己毕业设计做的改进的基于某vc视频处理框架代码的重心多目标跟踪代码(The center of gravity of a vc video processing framework code-based target tracking code own graduation design improvements do)