Desktop2

一维信号的形态学滤波实现，包括开，闭，腐蚀，膨胀功能(morphology filter for 1-D signal,include open,close,Corrosion and dilate)

典型的LSB水印嵌入和提取算法，它是一个基本的matlab程序，可以帮助初学者入门 (typical LSB embedding and extraction algorithm, which is a basic Matlab procedures, Portal can help beginners)

对特征选择与提取进行介绍，及几个特征提取方法简介(For feature selection and extraction are introduced, and several feature extraction methods Introduction)

主要适用于图像增强的客观质量评价，效果比较好；其实熵值就是求图像的相似度(Mainly applied to the objective of image quality evaluation, the effect is better; In fact, the entropy is to find the image similarity)

5.在面板中画圆弧的程序，帮助你画出你想要的圆弧。(5 arc in the panel painting program to help you draw your desired arc.)

说明：  图像匹配相关文献7篇，主要有小波变换用于理论研究及匹配的算法实现。对于刚进行图像匹配研究的人员很有帮助(Matching literature 7, mainly used for theoretical research on wavelet transform and matching algorithm. Matching of the images for just the staff very helpful)

一种新的水平集方法由Chunming Li教授开发的，还有配套的使用说明(A new level set method developed by Professor Chunming Li, as well as supporting the use)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

本代码为Canny检测算法的实现，功能为对图象边缘确定与提取(The code for the the Canny detection algorithm, determine and extraction the edge of the image)

curve generation using hermit concept