nccr

DCT水印源码 整理自lufei的水印代码 不可见数字水印(DCT watermark since finishing lufei source code is not visible watermark digital watermarking)

chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。(chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.)

gui图形界面导入多张图片并转换为偏振图(gui graphical interface to import multiple images and convert polarizing figure)

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。(simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.)

经典的聚束SAR成像算法-极坐标格式成像算法(A typical imaging algorithm of spotlight mode SAR)

实现ICM算法（条件迭代模型）对于灰度图像的分割(Achieve ICM algorithm (iterative model conditions) for the gray-scale image segmentation)

图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

DCT变换的MATLAB代码。无私奉献啦。希望给有用的朋友(DCT Transform MATLAB code. Selfless dedication啦. Want to give useful Friend)

说明：  VC++功能较多的图像处理程序，实现的功能有：图像变换 图像配准 图像分割、图像编码、图像增强、图像复原、图像特征码提娶图像识别、运动检测、图像显示等，特别是源码里面的一些VC的图像处理类，你可以用到你自己的程序中。(VC ++ image processing program with more functions. The functions implemented are: image transformation, image registration, image segmentation, image encoding, image enhancement, image restoration, image feature code, image recognition, motion detection, image display, etc. Some of the VC image processing classes, you can use it in your own programs.)

这是一个matlab环境下的关于图像频谱分析的源代码，内附图像。(This is a Matlab environment on the image spectrum analysis of source code, containing images.)