cheliangjishu

用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割 (Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation)

说明：  Kylberg Sintorn数据集可用于进行算法的旋转不变测试，然而官网中并没有直接划分训练集与测试集，本代码对该数据集的图片进行重新命名与划分，可用于算法测试中(The Kylberg Sintorn dataset can be used to perform the rotation-invariant test of the algorithm. However, the official website does not directly divide the training set and the test set. This code renames and divides the picture of the dataset, which can be used in algorithm testing)

matlab数字图像分割，可以提取一幅图中想要的目标，并计算出目标的面积，周长和长宽比。(Digital Image Segmenting Useing Matlab.This program can extract the interesting target from a figure, and calculate the target area, perimeter and aspect ratio.)

说明：  利用python写的简单降噪程序（根据一个点A的RGB值，与周围的8个点的RBG值比较，设定一个值N（0

ICP是用来匹配两组未知点，可以用于图像处理等方面，速度快，但需要选择好初始参数(ICP is used to match two sets of unknown points can be used in areas such as image processing speed, but need to select a good initial parameters)

Matlab源代码 Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.(Matlab source code for Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.)

对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)

说明：  运用二元光学元器件实现高斯激光光束的波形整形(Using binary optical components Gaussian laser beam waveform shaping)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

说明：  基于空域的脆弱水印算法，该方法最具代表性的是最低有效位（LSB）法，也就是文件中的方法，两个文件分别给出了水印的生成和检测。(Airspace based on fragile watermarking algorithm, the method is the most representative of the least significant bit (LSB) method, which is the method of the document, two documents were given watermark generation and testing.)