代码原理、要求及工具箱

图象特征提取的相位编组方法，欢迎各位同仁下载研究。(image feature extraction phase of organizational methods, and to welcome you download colleagues study.)

输入一幅图像，用传统的算子方法进行检测与用形态学腐蚀之后使原图像与腐蚀后的图像相减得到图像边缘进行比较(The Mathematical Morphology Image Edge Detection Based on MATLAB)

说明：  256灰度图像的位图二值化matlab程序 在经典图像教材中均有提及，现在用matlab来思想演示(to display the bitmap ,use the matlab method)

基于颜色衰减先验的图像去雾算法源码,作者是Zhu，大家可以作为论文中的比较算法(the matlab code of image dehazing based on color attenuation prior)

说明：  利用算数编码基本原理及其实现步骤，通过MATLAB实现算数编码。(Using the basic principle of arithmetic coding and its implementation steps, arithmetic coding is realized by MATLAB.)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

说明：  几种高分辨率图像重建算法的实现 以及各功能对比，利用matlab GUI实现(super_resolution reconstrction)

图像超分辨率重建算法，实现图像的超分辨率重建。(super-resolution code )

说明：  图像旋转任意角度，容易操作，方便简单，效果好！(image rotating for any angle you like.)

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)