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从摄影头输入影像,使用OPENCV以HSV来实作肤色侦测,侦测到的肤色部分以二值化的方式表现出来-The first input from the photographic image, using OPENCV to HSV to implement color detection, to detect the color section for binary forms to display the
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本文主要介绍下opencv中怎样使用hog算法,因为在opencv中已经集成了hog这个类。其实使用起来是很简单的,从后面的代码就可以看出来。本文参考的资料为opencv自带的sample。
开发环境:opencv2.4.2+Qt4.8.2+ubuntu12.04+QtCreator2.5.
实验功能:
单击Open Image按钮,选择需要进行人检测的一张图片,确定后自动显示出来。该图片的大小没限制。
单击People Detect按钮,则程序会自动对该图片进
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智能视频分析,harris角点的检测。
从图像局部的小窗口观察图像特征 ,角点的定义是窗口向任意方向的移动都导致图像灰度的明显变化。
-Intelligent Video Analysis harris corner detection. Observed image feature from the local image of the small window, the corner points is defined as the movement of the window to
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里面有OPenCV环境变量的设置,OpenCV入门的各种常用程序,全部经过测试能运行,有结果。包括图片显示,图片反相,鼠标事件,播放AVI文件,画几何图形,图像边缘检测,从摄像头读取数据等等程序。-There is OPenCV environment variable Settings, OPenCV entry of all sorts of commonly used procedures, can all through the test run, have the result. In
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可以进行简单的图像中的人脸检测,同时可以打开视频源或是从文件中打开视频,进行实时检测。-For face detection in simple image, also can open the video source or open the video from the file, real-time detection.
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基于opencv的Canny边缘检测源代码,可以读取图像对起是缩放,可作为opencv的基础入门。-Canny edge detection based on the opencv source code, can be read from the image pair is scaled, can be used as the basis for opencv entry.
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目标跟踪,利用相邻两帧的区域匹配从图像序列中建立目标链,跟踪目标从进入监视范围到驶离监视范围的整个过程-Target tracking, the use of two adjacent frames matching goal of establishing regional chain from an image sequence, tracking targets range from entering the monitor to monitor the whole process of
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同一场景不同角度的多图融合代码,包括了特征检测、匹配、变换,本人写的代码,也借鉴了不少别人的知识,可以运行。-The same scene from different angles multi-image integration code, including feature detection, matching, transformation, I wrote the code, but also learn a lot of other ones knowledge, you can
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基于opencv的use摄像头视频采集程序 1
基于opencv的两个摄像头数据采集 3
能激发你用代码做视频的冲动程序 6
图像反转(就是把黑的变白,白的变黑) 11
图像格式的转换 12
从摄像头或者AVI文件中得到视频流,对视频流进行边缘检测 13
采用Canny算子进行边缘检测 15
角点检测 18
图像的旋转加缩放(效果很拽,用地球做就像谷歌地球似的) 21
Log-Polar极坐标变换 22
对图像进行形态学操作(图像的开闭,腐蚀和膨胀运算)
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此程序可适用车联网图像处理中,检测前方车辆中车来位置,画出车牌区域,为后续检测车距提供参考目标-This procedure is applicable vehicle networking image processing to detect the position of the vehicle in front of the car to draw plate area, to provide a reference for subsequent detection of the targ
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