cornerdet01

文本数字水印技术极富挑战性. 首先简述了文本的分 类 然后介绍了文本数字水印技术领域的主要研究成果和最新进展,包括基于文档结构、自然语言 处理技术和传统图像水印技术三类方法 从容量,鲁棒性,技术基础等方面比较了现有成果,分析了 各类方法的主要优缺点 最后在总结现有成果的基础上展望了文本数字水印技术的前景,指出了该 技术未来可能的研究重点以及待改进和研究的方向.(Text digital watermarking technology challenging, first outlined text points Class then presents the main findings and the latest developments in the field of text digital watermarking technology, including those based on document structure, natural language Processing technology and traditional method of image watermarking technology categories from the capacity, robustness, technology infrastructure and other aspects of the existing comparative results analyzed The main advantages and disadvantages of various types of methods finally summarize the results on the basis of the existing prospect foreground text digital watermarking technology, pointed out that Technology and possible future research priorities for improvement and research directions.)

susan角点检测的源代码。简单易学附带中文程序说明(susan corner detection of the source code. Relatively simple description of the procedures with the Chinese)

用奇异值分解的方法实现图像的去噪，并且与其他的方法进行比较，较之其他的方法有了明显的提升(To eliminate the noise from signals and compared to others mothods，an depressing effect is gotten)

国外的牛人写的软件，数据降维工具箱，包含了几十种常用的流形学习方法的源码，自带图形界面。(A foreign master write this dimension reduction toolbox,there s dozens of code of common manifold learning methods. )

实现基于迭代反投影算法的超分辨率重建，对于没有噪声的情况有较好的效果。(Iterative Back Projection super-resolution.)

灭点标定，利用拍摄图像的两组灭点，求解摄像机标定的焦距、旋转矩阵、平移向量(Vanishing point calibration, using two sets of images taken vanishing point, solving the camera calibration of the focal length, rotation matrix, translation vector)

生成四副条纹图，进行四步相移，并且进行相位解包裹，并以图片形式输出结果(Generate four fringes, were four-step phase shift and phase unwrapping, and output as a picture)

1.图像尺度转换，降低图像分辨率，采用局部平均法、中值法；2.图像质量评价：均值、标准差、信息熵、平均梯度(1.Image scaling, reducing image resolution, using a local average、median method；2.Image quality assessment: the mean, standard deviation, entropy, average gradient )

计算机图形学基础算法z-buffer， 实现隐藏面消除(Computer graphics based algorithm z-buffer, to achieve hidden surface removal)

该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.(The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.)