数字图像处理

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

图像位移检测，用于探测前后两张图像相对位移关系，并输出移动后的像素数量(image drift detection)

该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。(The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.)

用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)

说明：  matlab使用regionprops求面积，找到连通域(Matlab uses regionprops to calculate area and find connected region)

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

使用K-means聚类算法的改进算法K-means++对图像区域进行分割。(using the improved algorithm K-means++ segment image.)

由图片对应点数据计算穆勒矩阵，并对其进行极分解，求得其3个分项，同时计算其各项指标参数(The Muller matrix is calculated by the corresponding data of the image, and the polar decomposition is carried out to obtain the 3 sub items, and the index parameters are calculated at the same time)

说明：  应用gibbs随机场进行图像分割。效果较好。希望对大家有所帮助。(use gibbs image segment.wish it will help everyone.)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)