在internet上进行图像检测的隐写分析

C语言图象处理代码，适合于用C进行图象处理的人！-C language code image processing, C-suited to image processing for the people!

图像的一维、二维快速傅里叶变化和反变化，可对图像一般低通滤波、ButterWorth低通滤波、一般高通滤波、ButterWorth高通滤波-Image of one-dimensional, two-dimensional fast Fourier change and anti-change, the image may be a general low-pass filter, ButterWorth low pass filter, the general high-pass filtering, ButterWorth high-pass filtering

马尔科夫vc源代码，偶找了很久才发现的，应用在图像处理中，强烈推荐-Markov vc source code, even for a long time only to find that the application of the image processing and strongly recommended

一套由matlab编程的自然人脸特征提取与显示分析系统第四部分-Matlab programming from a natural facial feature extraction and analysis system showed that the fourth part

移动图像分割方法研究 文中针对移动图像的图像分割,采用时间域信息捕捉移动物体, 然后利用空间域信息进行细致的分割,提出了一种新颖又实用的移动图像分割方法 -Mobile text, image segmentation method for mobile imaging in the image segmentation, the use of time domain information to capture moving objects, then the use of detailed spatial information of the partition, a novel and practical method of image segmentation mobile

本代码是对susan算子的实现，susan可以提取图像的边缘和角点，对噪声不敏感，且速度快，目前主要是用于提取角点-This code is susan Operator realize, susan can extract image edge and corner, is not sensitive to noise and speed, are mainly used to extract corner

基于matlab的图像压缩、各种滤波程序，适合初学者参考-Matlab-based image compression, filtering various procedures, information for beginners

基于内容的人脸图像检索 不知道是否有用 希望能看看吧 无奈-Content-Based Face Image Retrieval do not know whether it is useful to see if you hope to helplessness

PixelFusion工程实现图像融合,PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp， 而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。-PixelFusion works to achieve image fusion, PixelFusion project is running, users have to load two images, one full color image to choose a given picture spot.bmp, and multi-spectral images for a given picture tm.bmp. Then the user can choose a variety of fusion algorithm fusion treatment.

源码功能包括：细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析 -Source features include: cell edge detection, morphological analysis of cancer cells, cancer cells color analysis