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Salient区域检测，简单算法LC，学习博客（http://blog.csdn.net/laviewpbt/article/details/38357017）。图像直方图。RGB三通道颜色缩减。需要先配置opencv环境，vs2010,opencv2.4.9。配置教程(http://wiki.opencv.org.cn/index.php/VC_2010 E4 B8 8B E5 AE 89 E8 A3 85OpenCV2.4.4)-Salient detection
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本程序是在vs2010+opencv的平台上运行的，利用的是opencv2.4.9，C++写的，利用多种方法来遍历图像，例如通过创建迭代器的方法来遍历图像，通过指针的方法来遍历图像等方法来对图像进行处理。最后的得到的效果令人满意。-This program is run on a platform vs2010+opencv, the use of the opencv2.4.9, C++ write, using a variety of methods to traverse the ima
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用于识别物体形状的源码，基于VS2010和OPENCV2.4.9，对于具体的物体可以通过调整参数识别-Used to identify the object in the shape of the source code, based on VS2010 and OPENCV2.4.9, for a specific object can by adjusting the parameters identification
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该程序在VS2010+OpenCV2.4.9环境下完成，能够通过人机界面的方式（鼠标和快捷键）实现对单通道或多通道图像的修复，代码执行效率高，修复效果好-To complete the program in VS2010+ OpenCV2.4.9 environment, can through the way of human-computer interface (mouse and keyboard shortcuts) of single channel and multi-channe
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车辆识别算法。基于vs2010与opencv2.4.9.运行前需要自己配置自己opencv版本号对应的链接输入。-Vehicle identification algorithm based on vs2010 and opencv2.4.9. Yourself with the words you need to modify their corresponding versions of opencv input connection.
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人脸检测算法。基于vc2010与opencv2.4.9的。-face identification algorithm based on vs2010 and opencv2.4.9. Yourself with the words you need to modify their corresponding versions of opencv input connection.
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打开摄像头的程序，基于vs2010与opencv2.4.9- algorithm based on vs2010 and opencv2.4.9. Yourself with the words you need to modify their corresponding versions of opencv input connection.
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打开摄像头的程序，基于VS2010 与opencv2.4.9的-algorithm based on vs2010 and opencv2.4.9. Yourself with the words you need to modify their corresponding versions of opencv input connection.
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读取USB摄像头图像，对图像进行运算处理，并利用windows底层API驱动云台转动，达到跟踪效果，开发环境VS2010+opencv2.4.9,开发语言C++，调试通过。-Read USB camera image, image processing, and the use of the underlying windows API driver head rotation, to achieve tracking effect, development environment VS2010
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