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...

dct(离散余弦变换）域数字水印嵌入算法-dct (discrete cosine transform) domain digital watermarking algorithm

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

用matlabe对于sobel算子，进行模式实现，能取得明显的边缘检测效果！-Matlabe for using sobel operator, to carry out mode, can achieve a clear effect of edge detection!

利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code.

用于实现数字图像的线性灰度拉伸，包含源码及可执行程序。-linear gray streche

对高斯图像的参数设定，大图像小图像的参数设定，高斯图像相减，以及图像结果保存-On the Gaussian image parameter settings, large images of small image parameter settings, Gaussian image subtraction, as well as the preservation of image results

用经典的MeanShift算法实现的目标跟踪算法，可以跟踪运动镜头下的目标。-MeanShift with the classic algorithm of target tracking algorithm, the camera can track the target movement.

算法特点： 1）可检测正面正负15度人脸； 2）支持多人脸检测； 3）经过优化后对尺寸为320×240的视频图像检测速度达15帧/秒； 4）支持灰度图像人脸检测、低照度视频图像人脸检测。 测试条件：要求计算机安装USB CMOS视频摄像头及驱动程序。 运行要求：可执行程序exe与配置文件FPD.ini在同一个目录下。 -Algorithm characteristics: 1) to deliver people testing positive face of plus or minus 15 2) support for more than face detection 3) after the optimized size of 320 × 240 video image detection rate of 15/s 4) to support the gray Image Face Detection, illumination video face detection. Test conditions: installation requires a computer USB CMOS video camera and driver. Operation requirements: exe executable files and configuration FPD.ini in the same directory.

Visual C++ 教程代码，用户只要建立一个Win32控制台项目并把相关文件添加进去即可。-Guide to Visual C code Users simply create a Win32 console project and the related documents can be added to it.

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