该文件包括四个图像的预处理程序，分别为图像的卷积运算、生成浮雕、粒化图像及扩散图像。对图像初学者有帮助。...

normalziedcut经典聚类算法matlab源码演示-normalziedcut classical clustering algorithm matlab source demo

用于图像分割的matlab程序工具包！！里边有很多种方法-Matlab program for image segmentation tool kit! ! There are many ways inside。。

能够对bitmap图片进行无级缩放的动态库源代码-able to bitmap picture without the dynamic zoom level for the source code

图像处理代码，主要是人脸的自动识别和检测。-Image processing code, mainly because they face the automatic identification and testing.

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip

基于Visual C++,MFC界面，用于统计图片中细胞数量，包含一些图像处理功能，简单易用-Based on Visual C++, MFC interface for statistical picture number of cells, contains a number of image processing functions, easy to use

基于openCV得视频流得运动物体提取，内置测试视频。效果不错,需要安装openCV-OpenCV a video stream based on a moving object extraction, built-in test video. Well, need to install openCV

判断点是否在多边形中，输入要求有组成多边形的点和要判断是否在多边形中的点，速度快！-To determine whether the polygon points, enter the required polygon composed of points and to determine whether the points in the polygon, fast!

批量缩小图片的程序，可可用设置大小，背景颜色，输出格式为bmp，适合网站开发-Batch process to narrow the picture for web site development

Matlab图像感兴趣区域编码，这个程序所包括的m代码实现了迭代的图像处理，找出感兴趣区域。并同时输出区域、均值、STD、最小值、最大值、中值、中心点等等。-Matlab region of interest image coding, this procedure covered by the code m realize the iterative image processing, to identify areas of interest. And at the same time the output region, the mean, STD, minimum, maximum, median, center and so on.