quzaozengqiangheruihua

通过sift特征提取实现两幅图片无缝拼接(Seamless splicing of two images by SIFT feature extraction)

图像处理软件，功能齐全，简单，而且逻辑清除，很适合图像处理编程初学者(Image processing software, full-featured, simple, clear and logical, it is suitable for image processing programming beginners)

能够实现视频处理，利用MATLAB实现的VIEB算法，简单有效(To achieve video processing, using MATLAB implementation of the VIEB algorithm, simple and effective)

高斯曲线的拟合可对照学习使用程序比较全面适合电磁波类的人员参考学习(Gaussian curve fitting may be learning to use the control procedures for a more comprehensive type of electromagnetic wave reference study)

本程序为图像锐化的经典程序，源码里有详细的标注。(the procedures for sharpening images of the classic procedures are detailed source of tagging.)

介绍了一种典型的ＣＦＡＲ检测算法，使用ｍａｔｌａｂ进行仿真(CFAR detecting algorithm)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)

free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)

这是清华大学章毓敏写的图像工程，分上中下三册，希望对学习图像处理的学者有所帮助。(This is the engineering of Tsinghua University Zhang Yumin, write the image points on the three, hoping to help scholars learn image processing.)