北方工业大学的分割算法matlab代码实现了更好的图像分割…

提供多种边缘检测源代码，并提供了样例图片，可以参考参考。-Edge detection provides a wide range of source code, and provides a sample picture, you can refer to the reference.

内含测试图片，源码 数字图像处理，256色转灰度图-Containing the test images, source of digital image processing, 256-color to grayscale

一个用VC++中的MFC实现的图像处理基础的源程序，各种基础均有-One with VC++ implementation of the MFC-based image processing source code, a variety of both basic

interactive area plot

Matlab图像处理的典型指令，包含应用测试-Matlab image processing typical commands, including application testing

细胞粘连分割算法，采用vc++6.0编译环境，能够实现粘连细胞图像的分割，算法具有一定的参考价值。-Cell adhesion segmentation algorithm, using vc++6.0 to compile the environment, to achieve adhesion cell image segmentation, the algorithm has a certain reference value.

该算法为领域标记程序，可以检测 blob 区域-the algorithm for field marking procedures can detect regional blob

基于visual c++ 2005和OpenCV环境 FaceDetection是一个静态人脸检测程序，注意FaceDetection需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV，此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml，该文件在OpenCV中提供，请读者将该文件复制到程序同一目录下，程序即可正确运行。-Based on visual c++ 2005 and OpenCV is a static environment FaceDetection face detection procedures, attention to the needs of FaceDetection library OpenCV support provided, so please first of all to the relevant Web site to download and install OpenCV, addition of this procedure needs to import a document classifier haarcascade_frontalface_alt.xml, the document provided in OpenCV, the reader is the file copied to the procedures under the same directory, the program can run correctly.

Unzip all files in Matlab current directory. Type "test_main" on Matlab command window.

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