GVF相关代码及相关论文资料()，含: GRADIENT VECTOR FLOW DEMONSTRATION(GVF) matlab code, ITERATIVE WATERSHED SEGMENTATION (c-code), 与SNAKE GUI代码。 (所含文件:gvf_v5.zip，MateiDemo.zip, snake_demo.zip) (gradient vector flow code and related information paper (), containing : GRADIENT VECTOR FLOW DEMONSTRATION (gradient vector flow) matl ab code, ITERATIVE WATERSHED SEGMENTATION (c-code). with Snake GUI code. (Contained in documents : gvf_v5.zip, MateiDemo.zip. snake_demo.zip))
Fritz Keinert写的小波和多小波工具箱(Written by Fritz Keinert wavelet and multiwavelet Toolbox)
多尺度多方向性的剪切波Shearlet变换优于小波变换，里面包含很多例子，可以直接运行，可以用于图像去噪，分割，增强等，是一个优于小波的图像稀疏表示工具(Shearlet transform of multi-scale and multi-directional shear wave is better than wavelet transform. It contains many examples and can run directly. It can be used for image denoising, segmentation and enhancement. It is an image sparse representation tool better than wavelet transform.)
说明： 多尺度多方向性的剪切波Shearlet变换优于小波变换，里面包含很多例子，可以直接运行，可以用于图像去噪，分割，增强等，是一个优于小波的图像稀疏表示工具(Shearlet transform of multi-scale and multi-directional shear wave is better than wavelet transform. It contains many examples and can run directly. It can be used for image denoising, segmentation and enhancement. It is an image sparse representation tool better than wavelet transform.)
基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
说明： 基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
小波基的构造，每步均有说明，讲解很详细，值得学习(Wavelet construction, each step that has to explain in great detail, it is worth learning)
基于matlab的三维重建代码，提取两幅图片的匹配点(Based on three-dimensional reconstruction of the matlab code, extract the two images match point)
这是一个基于超像素算法的分割小软件，可以用于图像的分割，但是没有语义。使用者如果用于商用，要联系软件中的作者(This is a small software based on super-pixel algorithm, which can be used for image segmentation, but without semantics. Users for commercial use should contact the authors in the software.)
说明： 这是一个基于超像素算法的分割小软件，可以用于图像的分割，但是没有语义。使用者如果用于商用，要联系软件中的作者(This is a small software based on super-pixel algorithm, which can be used for image segmentation, but without semantics. Users for commercial use should contact the authors in the software.)
说明： 雷达成像仿真程序，模拟点阵成像，距离多普勒成像方法RD(radar imaging ,range doppler method)
计算点目标成像的峰值旁瓣比，积分旁瓣比，分辨率(Calculate peak sidelobe ratio, integral sidelobe ratio and resolution of point target imaging)
说明： 计算点目标成像的峰值旁瓣比，积分旁瓣比，分辨率(Calculate peak sidelobe ratio, integral sidelobe ratio and resolution of point target imaging)
低秩学习，rpca，适用于图像去噪，视频跟踪。(low rank learning,rpca,image denoise.Image tracking)
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