hu_moments

基于小波变换的数字图像降噪的源代码，利用改进的小波阈值法进行图像去噪(Digital image noise reduction based on wavelet transform source code, improved wavelet thresholding method for image denoising)

基于模型匹配的永磁同步电机混沌化控制例子，是本人一点点做出来的。(this is a example for Chaos Anti-Control of Permanent Magnet Synchronous Motor Based on Asymptotic Model Matching. it was completed by myself.)

基于matlab的图像加解密的示例演示程序,带GUI显示界面，有2种加密算法(Matlab based image encryption and decryption demonstration program, with GUI display interface, there are 2 kinds of encryption algorithm.)

自己整理的经典边缘检测算子matlab源程序 图像处理必备 1、canny算子 2、kirsch算子 3、laplacian算子 4、log算子 5、prewitt算子 6、robert算子 7、robinson算子 8、sobel算子(Own finishing classical edge detection operator matlab source image processing necessary 1, canny operator, kirsch operator, Laplacian operator, and the log operator Operators 6 prewitt, robert. Operator, robinson operator 8, sobel operator)

说明：  数字图象处理的文献资料，可以很好的处理边缘检测的文献(Digital image processing literature, can handle edge is very good detection literature)

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

说明：  自由曲面光学透镜的图像变换面形测量系统与精度建模(Free-form optical lens image transformation shape measurement system with precision modeling)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

matlab编写的截断半径45时，低通滤波器对与图像的影响，画图比较滤波前后的对比图。(matlab truncation radius of the preparation of 45, the low-pass filter and image of the effect of drawing the contrast to compare before and after filtering Fig.)

s变换；广义s变换；高斯邻域；时频分析；滤波(s transformation generalized s transformation Gaussian neighborhood time-frequency analysis Filtering)