数字图像处理 西电版 很好的学习数字图像处理的书籍

这是我自己编写的一个图象处理程序,用C++builder,包括源代码,用 bcb6编译-that I prepared an image-processing procedures, with C builder, including source code, Compiling with bcb6

图像处理方面，主要完成将二值数字水印嵌入到原图像中完成隐藏，同时完成了提取过程的编码-Image processing, the main value of the completion of the second digital watermark is embedded in the completion of the original image to hide, at the same time to complete the extraction process of encoding

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.

里面包含了H.264的标准文档，还有最新的jm源代码-Which includes H.264 standard document, as well as the latest source code jm

八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling

C++写的对图像进行缩放的源码，附测试图片-C++ Write the image to zoom in and out of the source, with the test picture

用于进行图像处理中颜色处理方法的源代码，希望对大家有所帮助-Used for color image processing method deal with the source code, and they hope to help everyone

相移三步法、四步法、五步法及相应的相位解包裹程序-?àò?èy 2?・¨? ￠ ?? 2?・¨? ￠ ?? 2?・¨?° ?àó | μ??à? ?? a ° ü 1 ü 3 ìDò

视频开发用VC＋＋编的 ，适合大家学习使用-Video Development with VC series is suitable for everyone learning to use

这是sift算法的c实现，用于拼接全景图的开源项目Hugin中找控制点（特征匹配）。-This is the c to achieve sift algorithm for stitching panorama of the open-source projects to find control points in Hugin (feature matching).