数字图像处理的基本程序 vc++编写 图像细化 有实例图片

图像细化和细化后处理，线细化是处理线状二值图像的一种重要技术。-refining and refined image post-processing, refining line is handling linear binary image of an important technology.

在vc++中，使用单文档程序，对数字图像进行拉普拉斯变换。供有兴趣的朋友学习-In vc++, The use of single-document procedures Laplace transform digital images. For interested people in learning

对偶复树小波以及去噪， 包含1维二维三维的程序实现-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program

MFC实现多边形剪裁和填充-MFC polygon clipping and filling

canny算子提取图像边缘，附源代码和测试图片-canny edge extraction operator, with source code and test images

基于OpenCV和forbcb的人脸跟踪程序

C++图像处理编程的书籍源码和资料，主要是图象处理方面的示例-C++ programming books, image processing, source code and data, mainly an example of image processing

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

c++图像处理置信传播方面的，实用C++来实现的-c++ image processing Confidence dissemination of practical C++ to achieve the

跟踪相关论文，《基于彩色图像的机器人视觉跟踪》《基于扩展卡尔曼滤波的主动视觉跟踪技术》《基于视觉和扩展卡尔曼滤波的位姿和运动估计新方法》《一种运动目标检测与跟踪快速算法的研究》-Tracking the relevant papers, based on the color image of the robot visual tracking , Extended Kalman Filter based on active vision tracking technology, Based on the visual and extended Kalman filter and the position and orientation of new motion estimation method , a moving target detection and fast algorithm for tracking of Study