搜索资源列表
基于opencv2.2的大津法分割
- 基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
利用OpenCV对视频进行处理
- 利用OpenCV对视频进行处理，尝试打开本电脑上的摄像头作为视频输入设备，或者将命令行的输入参数作为文件名来打开的视频文件。不管是哪一种方法，最后都是不断的循环处理一帧一帧地处理，涉及到的图像处理有背景擦除，平滑滤波，二值化等。-Using OpenCV to process the video, try to open the computer input device as a video camera, or the command line input parameters as the
save4imge OpenCV中保存与读取4通道图像
- OpenCV中保存与读取4通道图像（bmp）Opencv没有提供四通道图像保存方法只提供了保存为（XML等其它格式的文件） 该源码提供了该方法-in the Opencv not have the method that save or read the 4 channel picture. Opencv just can save or read the 4 channel image to XML or other format use the CVSave/CVLoad . Our met
OpenCV图像二值化（阈值法）
- OpenCV图像二值化（阈值法）,基于vc-OpenCV image binarization (threshold method), based on the vc
OpenCV-2-Application-Program OpenCV 计算机视觉应用编程手册
- OpenCV 计算机视觉应用编程手册。本书是Rebert Laganiere 在2011年的经典之作。从opencv在VS2010中的设置开始讲起，讲述了应用opencv的大部分经典内容。通俗易懂，图文并茂。-OpenCV 2 Computer Vision Application Programming Cookbook . This book is Rebert Laganiere s classic publication in 2011. It includes setup me
back
- 帧差法背景建模，在外界环境变化情况不大时使用较为方便快捷-Background modeling frame-difference method, small changes in the external environment is more convenient to use
opencv_Detect
- 采用VC++6和opencv1.0，基于对话框模式，打开摄像头或打开已有的AVI文件，采用简单的背景差分法动态跟踪活动物体。opencv1.0需要自行下载和配置。-Using VC++6 and opencv1.0, dialog-based mode, open the camera or open an existing AVI file, the background difference method using a simple dynamic tracking moving obje
GMMS
- OPENCV下基于高斯混合模型的图像分割，程序中还有 基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
background-difference-method
- 利用OpenCV中背景差分的函数，进行背景差分法构建，可以很好的进行运动目标检测-Background difference method based on OpenCV
Motion-optical-flow-using-hyrilical-method
- This algorithm is for calculating the motion optical flow for body parts using hyrilical method.
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
Time-Average-Method
- 利用Opencv与VC++实现的目标检测中背景差分法的源代码-Time Average Method
background-Time-Average-Method
- 利用opencv和vc++实现的目标检测中背景差分法中的时间平均法-background-Time Average Method
three-Frame-difference-method
- 基于视频图像的三帧差法，使用相邻且连续的三帧图像进行相关的运算得到运动目标。一般用于运动目标检测。-Based on the video image of three difference method, the use of adjacent and contiguous three images related to the operation to get moving target. Generally used for moving target detection.
Camera-calibration-method
- 基于OpenCV的视觉测量技术中摄像机标定方法详解-Visual measuring technique of camera calibration method based on OpenCV explanation
Filtering-method
- 在图像中各种滤波方法:均值滤波，高斯滤波等，采用c语言实现,-filtering method programmed in c language
water-filling-method
- 漫水填充法是一种用特定的颜色填充联通区域，通过设置可连通像素的上下限以及连通方式来达到不同的填充效果的方法。-The method of diffuse water filling method is a region filled with a specific color Unicom, by setting upper and lower limits and communicating pixel communicating manner to achieve different fil
Average-background-method
- 平均背景法是一种学习背景场景和分割前景目标的简单方法。这种方法只能用于背景场景中不包含运动部分。而且，这种方法还要求光线保持不变，比如室内静止场景。-Average background method is a simple way to split the background and foreground objects scene study. This method can only be used for background scene does not contain moving
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
Inter-frame-difference-method
- 帧间差分法是一种通过对视频图像序列中相邻两帧作差分运算来获得运动目标轮廓的方法，它可以很好地适用于存在多个运动目标和摄像机移动的情况。 -Frame difference method is a sequence of video images through the adjacent two for differential operation to obtain moving object contour method, which can be well applied to the