SARclassify

说明：  matlab实现图像修复,基于样本块的纹理修复算法Criminis(MATLAB image inpainting, texture inpainting algorithm criminis based on sample block)

统计颜色直方图的matlab程序,解压缩后可以直接在MATLAB环境中运行(Color histogram statistics of the matlab program, unzip it directly in the MATLAB environment)

用C编写程序来求解圆的面积和周长，这是以前的一个实习作业。(Write a program in C to solve the area and perimeter of a circle, which was previously an internship job.)

雷达与红外目标跟踪融合的尝试，探讨中(Target tracking radar and infrared fusion attempts to explore in)

本ACIS几何造型平台组件提供基本的拓扑构造，线框构造和编辑，性质分析（面积长度和质量等）等功能。(the ACIS geometric modeling platform components provide basic topological structure, wireframe construction and editing, Analysis (area of length and quality, etc.) and other functions.)

图像纹理特征提取，包括分形维数，灰度游程长度，灰度共生矩阵等五种图像纹理特征。(To extract image texture features, including fractal dimension, length of gray-level run-length, gray level co-occurrence matrix and other five kinds of image texture features。)

彩色图像转为灰度图像，灰度图像的傅里叶低通滤波，彩色图像的傅里叶低通滤波，三种滤波器的三维表示(Transforming a color image to a grayscale image Do low-pass filtering to a grayscale or color image by Fourier transform The three-dimensional representation of three types of filters )

图像质量评价经典算法，ssim算法评价图像质量好坏程度的度量(Image quality assessment of the classical algorithm, SSIM algorithm.A measure of the degree of image quality )

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)

《图像处理的偏微分方程方法》随书光盘完整版 本光碟中包含五个文件夹。 （1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。 （2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。 （3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。 （4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。 本光碟中的所有内容，仅供教学和研究参考。(" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo)