imagewatermarking

说明：  matlab边界自动跟踪程序，该程序可以直接运行，涉及边界判别准则和搜索准则。图像要求为二值图像，可输出为边界的点的坐标和轮廓图像。(matlab boundary automatic tracking program can be run directly involving border criteria and search criteria. Image requirements for binary images can be output for the coordinates of border points and the outline of the image.)

说明：  matlab最小二乘法曲面拟合程序可以得到函数具体解析式(Matlab least squares surface fitting program can get the specific analytic expression of the function)

基于Hough变换的虹膜自动分割的matlab代码(Automatically based on Hough transform in iris segmentation matlab code)

说明：  水体提取功能，里面主要实现了多源遥感卫星水体提取，入库，推送等后续代码功能(Water extraction function, which mainly realizes the multi-source remote sensing satellite water extraction, storage, push and other follow-up code functions)

说明：  使用matlab实现图像的JPEG压缩算法的实现(Realization of JPEG compression algorithm of image with MATLAB)

关于马尔科夫随机场的分割matlab代码(On the Markov random field segmentation matlab code)

亚像素边缘检测，比像素级边缘检测更有精确(Subpixel edge detection)

彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果(Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results)

一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。(The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed. )

FCM源代码，专门用于图像分割的，速度很快(FCM source code, specifically for image segmentation, very fast)