digitalimageprocessprograms

一个基于qt界面的简单的itk读入，vtk显示的示例，包括中值滤波等简单图像处理功能。(a example of reading itk and display with vtk)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

实现dicom和bmp之间的转换。适合医学图像中的最初学习。(transformation between dicom and bmp image.)

给予稀疏编码的原理将10幅自然图像进行系数分解成为图像基。(Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.)

这是一个基于主动生长的边缘连接算法，自己编写(an edge linking algorithm based on autonomous edge growing for discontinuity edge of edge image caused by missed detection)

滤波反投影CT图像重建算法 filter-backproject reconstruction, including feldkamp (FDK) cone beam(Filter back projection algorithm for CT image reconstruction filter-backproject reconstruction, including feldkamp (FDK) cone beam)

基于YCgCr色彩空间与几何信息的人眼定位方法(YCgCr color space and geometry based on the information the human eye location methods)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

基于CCS开发平台，关于IT公司的TMS320DM642的开发实例（包括，串口、UART接口、图像灰度显示、图像阈值分割，高斯平滑）等(the program example based on CSS of IT MS320DM642 include GPIO UART Gaussscale Grayscale Threshold)

距离模型、多普勒模拟、地球模型、的雷达图像几何校正 (Radar image geometric correction)