tuxiangqiege

P_M正则化图像滤波的一个实验例子，包含程序和实验结果还有实验报告(Tikhonov P_M image filtering example of an experiment, including the procedures and experimental results are experimental report)

基于Hilbert变换的相位差测量法分析及改进 (Based on the analysis phase measurement and improvement of the Hilbert transform)

基于多尺度超像素的显著性检测代码和文章(Saliency Detection with Multi-Scale Superpixels)

可以直接调用，适用于各种利用contourlet工具箱做为工具的算法(Can be directly invoked, suitable for various algorithms using contourlet toolbox as a tool)

MATlab图像分割源代码,包含边缘检测，区域分割，直方图(MATlabapplican)

说明：  可支持手写数字识别，r和python两种语言编写，生成画板鼠标手写输入，也支持上传图片(Handwritten digit recognition)

矩形信号的frft（分数傅里叶变换wigner_ville_1.m 单分量信号去噪 wigner_ville_2.m 双分量平行信号去噪 wigner_ville_3.m 3分量信号频率检测）分数傅里叶变换是经典傅里叶变换的另一种改进方式。它的主要特点是提供研究对象从时间域到频率域全过程的综合描述，随着阶数从0连续增长到1，分数傅里叶变换展示出研究对象从纯时间域逐步变化到纯频率域的所有变化特征。因此，分数傅里叶变换提供了远比傅里叶变换多得多的可供选择的数据处理和分析方法。(The rectangular signal FRFT (Fractional Fourier Transform) Score Fourier transform is another modification of the classic Fourier transform. Its main feature is a comprehensive description of the study from the time domain to the frequency domain, with the order of continuous growth from 0 to 1, the fractional Fourier transform demonstrate the object of study from a purely time-domain gradually change to a pure frequency domain variation. Thus, the fractional Fourier transform provides data processing and analysis methods than Fourier transform much more to choose from.)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

GraphCut算法的实现，跟踪主动镜头下的目标，效果很好！(GraphCut algorithm to track the goal of the initiative under the lens, very good!)

说明：  用labview实现图像的二值化，通过把图片转化为二维数组，通过和阈值比较把图像二值化(Achieved with labview binary image by the image into a two-dimensional array, and the threshold value by comparison to image binarization)