数字水印

B样条曲面方法，通过b样条曲面的拟合得到图像的背景，减去背景图像就能得到重要内容的图像，除去了背景对图像内容的干扰，也可解决光照不均的问题(algorithms for cytoplasm segmentation of fluorescence labelled cells)

对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。(ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac algorithm estimates gesture R, T. 4sift feature matching 5 camera calibration.)

有关目标的匹配跟踪代码，简单易懂，里面含有丰富的测试图片，和最终的测试效果图(The target matching tracking code, easy to understand, which contains a wealth of test images, and the final test renderings)

canny边缘检测的matlab实现，用到了基于Otsu算法的自适应阈值选取(canny edge detection)

图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.)

matlab编的基于图像矢量量化的水印程序，用分割码本的办法嵌入水印！(matlab for image vector quantization-based watermarking process, with the approach of the division of code embedded watermark!)

利用SFS算法实现3D图像重建，附带有图片实现(3D Image Reconstruction Using SFS Algorithms)

将源图像做高斯卷积，以光滑化源图像，用于图像的预处理(source image makes convolution with gauss so as to smooth the image as a preprocess.)

说明：  针对现有方法存在的隐藏容量低、操作不灵活的缺陷，文章提出了一种基于无损压缩的加密图像可逆 信息隐藏算法。(In view of the defects of low hiding capacity and inflexible operation of the existing methods, this paper proposes a reversible information hiding algorithm for encrypted images based on lossless compression.)

some fast feature extraction algorithms are addressed for joint retrieval of images compressed in JPEG and JPEG2000 formats. In order to avoid full decoding, three fast algorithms that convert block-based discrete cosine transform (BDCT) into wavelet transform are developed, so that wavelet-based features can be extracted from JPEG images as in JPEG2000 images.