read-and-save-the-dicom-type-image

2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分，但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。(CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part，yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.)

从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)

实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。( Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.)

DCT1实现一维离散余弦变换； DCT2实现二维离散余弦变换； 其中使用的算法是碟形算法来实现频域变换(DCT1 peacekeeping achieve a discrete cosine transform; DCT2 achieve two-dimensional discrete cosine transform; the use of the algorithm is dishing algorithm to achieve the transformation frequency domain)

说明：  这是冈萨雷斯经典教材数字图像处理（MATLAB版）的所有源代码，很辛苦才获得的(This is a classic textbook Gonzalez Digital Image Processing (MATLAB version) all the source code, it is hard before they are allowed to)

基于sift算法的图像匹配。并用RANSEC算法去除错误匹配。最后还给出了sift算法的图像拼接。(Sift-based image matching algorithm. And use RANSEC algorithm to remove false matches. Finally, given the sift algorithm for image stitching.)

设计了完整的基于颜色直方图的图像检索系统，效果还算可以(Design of a complete color histogram-based image retrieval systems, the effect can be fairly)

这是一个可以应用在大失准角下的强跟踪UKF(This is a can be applied to large misalignment angle of Strong Tracking UKF)

自编图像处理M文件，经过图像增强滤波去噪二值化，边缘提取，实现对图片内物体的生产标准监测(Self image processing M-file, and after image enhancement filter denoising binarization, edge extraction, the production of objects within the picture of standard monitoring)

CBCT图像fdk重建,预投影、投影滤波、重建演示，功能强大(it s about the fdk rec for CBCT，forward projection、filter projection、rec demo)