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说明：  包含MATLAB GUI设计入门，涵盖的主要内容有MATLAB入门与提高、常用文件操作、MATLAB弹出窗口定义、 Figure图形句柄获取、GUI界面按钮功能介绍及GUI工具栏编辑器，MATLAB GUI设计实战，涵盖的主要内容有GUI常用功能介绍(Introduction to MATLAB GUI design, the main contents covered include MATLAB introduction and improvement, common file operations, definition of MATLAB pop-up windows, Figure graphic handle acquisition, introduction of GUI interface button functions and GUI toolbar editor, MATLAB GUI design combat, covering the main content There are GUI common functions introduced)

使用小波框架来实现图像融合算法。文件中有测试图片。(Framework to achieve the use of wavelet image fusion algorithm. Document the test picture.)

集中图像平滑函数对一张含有椒盐噪声或者高斯噪声的图像进行平滑处理的程序，(Image processing)

MATLAB实现gabor滤波器，程序默认为5个尺度，8个方向。(MATLAB realization gabor filter, the program defaults to 5 scale, eight directions.)

基于opencv实时图像的2值化处理，一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)

tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号(The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, through the development of signal sparsity, in conditions far less than the Nyquist sampling rate, using random sampling for discrete samples of the signal, and then through the non-linear reconstruction algorithm perfect reconstructed signal)

目标跟踪matlab源代码，通过当前帧预测区域的信息同背景图像的信息的内容相差，可以很好的实现运动目标的跟踪。(Target tracking matlab source code, through the regional information predict the current frame image with the background information on the contents of the difference, you can achieve a good tracking of moving objects.)

选择一副灰度图像，用区域分裂合并法对其进行分割(Choose a grayscale image, with its regional divisions split merge method)

使用区域生长法对灰度图像进行分割，显示原图及分割后的图像(Region growing method using gray-scale image segmentation, image display artwork and divided)

用于无参考帧图像质量评价的MATLAB程序，运行程序为example，输出图像的客观分值。(This is the matlab code of no-reference image qualituy assessment in space domain, th result ofthe program is the object acore of the image.)