wavepaste

说明：  用MATLAB实现不规则图像的面积测量，采用像素灰度值的占比进行实现(Area Measurement of Irregular Images Using MATLAB)

matlab环境下的基于形态学的分水岭算法,进行图象分割.(Matlab environment based on the morphology of the watershed algorithm for image segmentation.)

在matlab开发环境中，使用模糊C均值聚类的方法对数据进行聚类(In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering)

用分水岭算法对三维模型进行分割处理。可以实现对三维模型的有意义分割。(Using three-dimensional model of the watershed algorithm to be dealt with separately. Three-dimensional model can achieve meaningful partition.)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)

demo中基本上整理了目前常用的所有边缘检测算子，并添加了自定义的frei-chen、kirsch、direcedge、PrewittCompass、RobinsonCompass边缘检测算子function函数。此外，还有Ruzon罗盘算子的matlab实现程序，能对灰度图像的边缘加以检测。(demo, basically compiled all the commonly used edge detection operator, and add a custom frei-chen, kirsch, direcedge, PrewittCompass, RobinsonCompass edge detection operator function function. In addition, there Ruzon compass operator procedures matlab realize, can be gray-scale image edge detection.)

说明：  经典图像处理方法之一的图像去雾算法matlab实现(Matlab implementation of image defogging algorithm, one of the classical image processing methods)

图片采用3x3均值滤波，用Verilog语言描述，输入输出分别使用外同步(Pictures are filtered with 3x3 mean and described in Verilog language. Input and output are synchronized with each other.)

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.)

说明：  代码论文Active Contours Without Edges(code paper Active Contours Without Edges)