Arnold-image-A

程序是基于DSP的数字图像处理技术，可以实现军事滤波，中值滤波和维纳滤波，实现效果较好(The program is a DSP-based digital image processing technology, the military filtering, median filtering and Wiener filtering, better )

曲波变换的matlab图像处理工具箱。用于图像处理及增强(contourlet_toolbox,for image processing and enhancement)

图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计，再进行贝叶斯非局部均值降噪(Image denoising, Bias estimation and blind source noise，The blind source method for noise estimation, then the Bayes non local mean noise reduction)

一种基于K均值的自然图像聚类方法，编程算法巧妙(Based on the natural images k-means clustering method, programming algorithm is clever)

均值便宜跟踪的示例，预报误差法参数辨识-松弛的思想，用于信号特征提取、信号消噪。( Example tracking mean cheap, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature extraction, signal de-noising.)

gmmreg图像配准算法源程序，里面用到了TPS算法，并附有例子。(gmmreg image registration algorithm source code and two demos, which used the TPS algorithm.)

说明：  图像处理所涉及的256转灰度，二值化等等，每个部分都是独立可执行的工程文件，很方面的代码复用(256 involved in image processing turn gray, binary, etc., are independent of each part of the project executable file, it' s code reuse)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Program code description P0401: Detects the edge of an image with the Prewitt operator P0402: LoG operator with different σ values is used to detect the edge of the image P0403: Detects the edge of an image with the Canny operator P0404: Threshold segmentation of the image P0405: Image segmentation using watermark threshold method P0406: Quadtree decomposition of the matrix P0407: The image is divided into text and non-text of the two categories P0408: Morphological gradient detects the edge of a binary image P0409: Morphology Example- Deletes all current lines the PCB image, leaving only the chip object)

实现巴特沃斯低通滤波器的小程序，大家看看能不能参考一下。(Butterworth low-pass filter program, see if you can refer to.)

注意机制，显著图提取，使用PCA算法！效果理想。(Attention mechanism, saliency map extraction, using PCA algorithm! Effect ideal.)