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全套的DCT域数字水印源代码matlab(A full set of digital watermarking of DCT-domain source code matlab)

图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高(Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve the correct rate)

利用基于直方图的自适应阈值方法实现分割前景与背景(Segmentation of foreground and background using histogram-based adaptive threshold method)

压缩感知重构算法去噪方法，以及一系列改进方法(Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods)

一个修改后的PCA进行人脸识别的Matlab源码(A revised PCA for Face Recognition Matlab source code)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

说明：  该程序通过雅可比矩阵求解Rossler系统的李雅普诺夫指数指数，并绘制了其频谱图。(The program solves the Lyapunov exponent of Rossler system by Jacobian matrix and draws its spectrum.)

基于导纳增量法的光伏发电最大功率跟踪算法仿真模型。该模型精度较高，很好的跟踪最大功率点(Based on admittance incremental method of photovoltaic maximum power tracking algorithm simulation model.The model precision, good track the maximum power point)

本文提出了一个关于图像抠图的方法，它的抠图效果不错，而且作者的主页上提供了MATLAB的源码，可以看一下。(This paper presents a method on the image matting, matting it well, and the author' s home page provides a MATLAB source code, you can see it.)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)