目标跟踪

cif文件为视频格式。根据西交侯志强 ，韩崇昭教授，基于像素灰度归类的背景重构算法，编写。 -cif file for the video formats. According to West Zhi-Qiang Hou, Professor Han Chongzhao, grayscale pixel-based background reconstruction algorithm classified the preparation.

基于mfc的轮廓提取程序，支持多种算子提取轮廓，有边缘检测，hough变换等功能。-Mfc based on the contour extraction process, supports a wide range of contour extraction operator, has edge detection, hough transform functions.

负责图像处理的相关操作，如保存、图像关联操作等。功能包括：获取图片信息、 缩放、色彩滤镜、亮度、反向、灰度、转换、裁贴、和插入文字、其它图片或几何图形。 Paint方法使用AutoScoolPosition属性发现滚动位置，使用AutoScrollMinSize属性进行设置。-Responsible for the relevant image processing operations, such as the preservation of image related operation. Features include: access to image information, zoom, color filters, brightness, reverse, gray, conversion, CD paste, and insert text, images or other geometric shapes. Paint ways to use attributes found Rolling AutoScoolPosition location, use AutoScrollMinSize attribute set.

图像处理,图像的读入和显示，基于开源计算机视觉环境，文件小而精悍-image process

图像处理演示程序，软件界面采用中文，界面友好、简便，一般不需要特别的专门学习 就可以运用。-Image processing demo program, the software interface using Chinese, user-friendly, simple and generally does not require specialized learning in particular will be able to employ.

Hough变换的简易程序， * 该函数用于对检测图像中的平行直线。如果图像中有两条平行的直线，则将这两条平行直线 * 提取出来。 * * 要求目标图像为只有0和255两个灰度值的灰度图像。-Hough transform to the simplified procedure,* The function used to detect images of parallel linear. If the images are two parallel lines, it will be two parallel linear* extracted.** Requirements for the target image only two 0 and 255 gray values of gray-scale images.

实现图像分割与轮廓提取的vc++源码，希望对你有用-image segmentation and contour extraction vc source, and I hope to you useful

ezdicom 不用多说了吧,可以读取DICOM格式的图像和处理-ezdicom Needless to say the bar, you can read DICOM format images and deal with

SUSAN算法源码及其论文资料，包括了源程序和论文，很齐全-SUSAN algorithm and its paper-source information, including the source code and papers, it is complete

提升法97经典程序此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 为了保证正交，所有边界处理，全部采用循环处理-upgrade classic procedures of this process is to achieve matrix, So images of horizontal component and the vertical component is estimated to be exchanged orthogonal position to ensure that all borders, the use of cycles