一篇关于医学图像分割方法的调查研究，该文章总结了常见的医学领域中的图像分割方法。...

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.

图像处理的偏微分方程方法中利用自蛇模型算法实现二值图象平滑-Image processing method of partial differential equations model the use of the snake algorithm since the value of image smoothing abuse

labelmetool,用于手工图像分割，可以同时记录很多目标信息。通过lhi还可以下载很多图像库。-labelmetool, for manual image segmentation, can be recorded at the same time a lot of target information. Through lhi can also download a lot of image library.

基于组织的粒子群优化的最大类间方差阈值图像分割-Based on Particle Swarm Optimization organization of maximum between-cluster variance threshold Image Segmentation

转,matlab(边界提取,链码生成,差分链码生成及频率向量生成程序)具有旋转不变性了的链码-Turn, matlab (border extraction, chain code generation, differential chain code generation and the frequency of vector generation procedure) has the rotation invariance of the chain code

这是绘画bezier曲线的小程序。使用者可以从此处得知如何编写bezier曲线的程序。应用程序便是以c++编写绘成的bezier曲线-This is a Bezier curve drawing applet. From here the user can learn how to prepare the procedures for Bezier curves. Application is to c++ Are ready to prepare the Bezier curve

别人的东西，有关KPCA特征提取的，看过了，很好很强大-Other people" s things, the KPCA feature extraction, and seen, very good very strong

matlab的m文件，sobel边缘检测-matlab m-file, sobel edge detection

图形图象细化算法，从国外开放源代码网站上下的-graphics thinning algorithms from abroad open source website ish

用形态学的方法求二值图像的周长，面积，圆形度，矩形度和伸长度- use morphological mathod to get the perimeter, area, circle, the rectangle and stretch the length of the binary image