画圆,里面可以写字,可移动

此程序是用于图像处理中，图像去噪，并且考虑角点存在的情况-This program is used for image processing, image denoising, and consider the existence of corner

数字图象处理中经常用到的形态学之腐蚀变化-Digital image processing frequently used for the morphological changes in corrosion

获取屏幕上某点的颜色值，vc初学者使用，希望能有所帮助

模式识别的特征识别可有多种方法，同时每种方法都有着一定的局限性，这里给出一种比较通用的方法来进行识别-Pattern Recognition feature recognition can have a number of ways, while each method has certain limitations, here given a more general approach to identify the

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

通过matlab对多幅图像进行图像分割，并找出关键区域，实现定位-Of multiple images through the matlab image segmentation, and identify critical areas to achieve positioning

利用模糊C均值聚类法实现彩色图像分割，Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0

vc++图像处理典型算法与实现的后半部分源代码，对搞图像处理的人参考价值！-vc++ typical image processing algorithm and the realization of the latter part of the source code, for those who engage in image processing reference value!

图象分割中应用较多的ostu大津阈值法,matlab源代码-Application of image segmentation ostu more Otsu threshold method, matlab source code

用OpenCV编写的一个用来检测人脸的程序，可输入图片或者视频文件，也可打开摄像头进行实时检测。检测速度快，准确度高。 -OpenCV prepared with a human face to detect the process, enter the picture or video files can also be open to conduct real-time detection camera. Detection speed and high accuracy.