array2

这是一个matlab环境下的关于图像频谱分析的源代码，内附图像。(This is a Matlab environment on the image spectrum analysis of source code, containing images.)

分数阶各向异性扩散图像去噪，实现了文献Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, IEEE T. Image Process.,2007, 16(10): 2492-3502(Fractional anisotropic diffusion denoising literature Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, the IEEE T. Image the Process, 2007, 16 (10): 2492-3502)

计算三维数据的法矢量并进行调整，里面包括了自己做的实验数据和结果(Three-dimensional data, vector calculation method and make adjustments, which includes the make their own experimental data and results)

说明：  非下采样contourlet变换是一种较新的多尺度几何分析方法，能够很好地描述信号的线奇异特征，具有多方向滤波器组。(Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional filter.)

利用傅立叶变换和相位相关法来检测图象的区域复制伪造(Use of Fourier transform and phase correlation method to detect forged images of the regional replication)

DOCX Parser, extracts inline images quiz

可以进行背景减除法-三帧法-高斯背景建模法运动检测( This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. )

二维Otsu法图像分割matlab代码，可进行图像分割计算。(Two-dimensional Otsu method matlab code for image segmentation, image segmentation can be calculated.)

对灰度图像或RGB图像，进行基于边缘检测和区域生长的图像分割技术(On grayscale images or RGB images, for edge detection and region growing-based Segmentation)

说明：  数字图像处理常用程序，包括图像读取、显示、详细信息，对图像文件格式转换，RGB分量显示，索引图像、伪彩色图像、真彩色图像显示，灰度直方图处理，图像灰度变换，均衡化处理，图像加噪声处理，均值滤波、中值滤波，图像加减乘除运算，图像放大，插值拟合，旋转，多种边缘检测方法，高通滤波，低通滤波，带通滤波，维纳滤波，运动模糊等处理。(Common digital image processing programs, including image reading, display, detailed information, image file format conversion, RGB component display, index image, pseudo color image, true color image display, gray histogram processing, image gray transformation, equalization processing, image plus noise processing, mean filtering, median filtering, image plus, subtraction, multiplication and division, image amplification, interpolation Fitting, rotation, multiple edge detection methods, high pass filtering, low-pass filtering, band-pass filtering, Wiener filtering, motion blur and other processing.)