<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[-Sherman-]]></title><description><![CDATA[Keep learning]]></description><link>https://blog.youkuaiyun.com/kingcooper</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; kingcooper]]></copyright><item><title><![CDATA[[Andriod]Andriod之HelloWorld]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/53307887</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/53307887</guid><author>kingcooper</author><pubDate>Wed, 23 Nov 2016 17:31:19 +0800</pubDate><description><![CDATA[Andriod开发环境搭建好以后，开始进行Andriod项目创建的初级经典范例-HelloWorld
具体环境搭建，请参考http://blog.youkuaiyun.com/kingcooper/article/details/53289115
1.File-New-Andriod-Andriod Application Project
点击Next后，界面如下


添加Name，更改开发版本]]></description><category></category></item><item><title><![CDATA[[Andriod]Eclipse+Andriod+Opencv配置]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/53289115</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/53289115</guid><author>kingcooper</author><pubDate>Tue, 22 Nov 2016 19:32:55 +0800</pubDate><description><![CDATA[一、安装环境
Windows 7 64位
二、安装步骤
三、示例测试
四、参考资料]]></description><category></category></item><item><title><![CDATA[[python]Python IDLE清屏]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/53169426</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/53169426</guid><author>kingcooper</author><pubDate>Tue, 15 Nov 2016 11:15:02 +0800</pubDate><description><![CDATA[版本

Python：3.4.4

window7 64位

1.下载清屏扩展ClearWindow

下载链接如下：

http://download.youkuaiyun.com/detail/kingcooper/9469423


加其添加到Python安装目录下python\Lib\idlelib

2.修改IDLE扩展的配置文件

在python\Lib\idle]]></description><category></category></item><item><title><![CDATA[[opencv]opencv模块介绍]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/51850174</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/51850174</guid><author>kingcooper</author><pubDate>Thu, 07 Jul 2016 12:52:32 +0800</pubDate><description><![CDATA[1.opencv资料搜索


http://opencv.org/documentation.html
也可在安装的opencv文件夹中找到使用文档

2.模块介绍
core a compact module defining basic data structures, including
 the dense multi-dimensional array Mat and]]></description><category></category></item><item><title><![CDATA[[Basler SDK]pylon4在VS2013下的配置]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/51325770</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/51325770</guid><author>kingcooper</author><pubDate>Thu, 05 May 2016 20:04:54 +0800</pubDate><description><![CDATA[Basler SDK学习-pylon4在VS2013下的配置]]></description><category></category></item><item><title><![CDATA[[opencv]OpenCV项目的动态编译和静态编译]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50765320</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50765320</guid><author>kingcooper</author><pubDate>Wed, 16 Mar 2016 15:53:42 +0800</pubDate><description><![CDATA[1.Dll(Dynamic Link Library)和Lib文件
2.动态编译与静态编译的区别
3.opencv项目的动态编译
4.opencv项目的静态编译
参考链接]]></description><category></category></item><item><title><![CDATA[[opencv]图像金字塔]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50896845</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50896845</guid><author>kingcooper</author><pubDate>Tue, 15 Mar 2016 17:44:40 +0800</pubDate><description><![CDATA[1.图像金字塔
这里介绍两种图像金字塔。
高斯金字塔：用于向下采样。
如下所示：
G0

G1

G2

底层的分辨率最高，越向下采样图像分辨率越低。
由Gi生成Gi+1层：
(1)使用高斯核和Gi层进行卷积运算
(2)将偶数行和列移除。
拉普拉斯金字塔：用于向上采样
如下所示：






向上采样，图像分辨率越来越高。

由Gi生成Gi+1层：]]></description><category></category></item><item><title><![CDATA[[opencv]QT5.3.2配置opencv2.4.10及QT5.3.2+opencv2.4.10+vs2013配置]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50843893</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50843893</guid><author>kingcooper</author><pubDate>Thu, 10 Mar 2016 15:16:10 +0800</pubDate><description><![CDATA[1.QT5.3.2配置opencv2.4.10
2.QT5.3.2+opencv2.4.10+VS2013]]></description><category></category></item><item><title><![CDATA[[Halcon]Halcon12在vs2013下的配置]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50774760</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50774760</guid><author>kingcooper</author><pubDate>Wed, 09 Mar 2016 10:27:19 +0800</pubDate><description><![CDATA[环境:
visual studio:2013
halcon:halcon12
windows7 64位
1.新建vs2013项目
2.配置halcon12
(1)项目-属性-配置属性-链接器-输入-附加依赖项添加如下：
halconcpp.lib
(2)项目-属性-配置属性-VC++目录-包含目录添加如下：


$(HALCONROOT)\include;$(HALCONRO]]></description><category></category></item><item><title><![CDATA[[opencv]鼠标画彩图(改变绘制颜色和线宽)]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50821594</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50821594</guid><author>kingcooper</author><pubDate>Tue, 08 Mar 2016 16:39:56 +0800</pubDate><description><![CDATA[1.opencv相关函数
2.opencv实现鼠标画彩图(改变绘制颜色和线宽)]]></description><category></category></item><item><title><![CDATA[[opencv]Kalman滤波跟踪]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50817586</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50817586</guid><author>kingcooper</author><pubDate>Tue, 08 Mar 2016 12:03:16 +0800</pubDate><description><![CDATA[1.Kalman滤波器原理
2.举例分析
2.1房间温度计算例1
2.2房间温度计算例2
3.opencv Kalman函数
4.opencv实现对鼠标的kalman跟踪]]></description><category></category></item><item><title><![CDATA[[opencv]K-means聚类算法分割图像]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50799821</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50799821</guid><author>kingcooper</author><pubDate>Fri, 04 Mar 2016 17:43:41 +0800</pubDate><description><![CDATA[1.K-means算法

K-means是一种经典的无监督聚类算法。

算法原理:
(1)从N个数据对象中取K个点作为聚类中心。
(2)计算N个数据对象到各个聚类中心的距离，将N个数据对象划分到距离最近的中心，形成K个聚类。
(3)计算每个聚类的中心，将新的中心代替原来的中心。
(4)检查新老聚类中心的距离，重复(2)-(3)直到距离小于规定阈值。]]></description><category></category></item><item><title><![CDATA[[opencv]模板匹配算法（单图像模板匹配和基于模板匹配的目标跟踪）]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50788269</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50788269</guid><author>kingcooper</author><pubDate>Thu, 03 Mar 2016 15:45:37 +0800</pubDate><description><![CDATA[1.模板匹配opencv函数
链接：http://www.opencv.org.cn/opencvdoc/2.3.2/html/modules/imgproc/doc/object_detection.html?highlight=matchtemplate#cv.MatchTemplate



matchTemplate(InputArray image,
 InputArray]]></description><category></category></item><item><title><![CDATA[[opencv]MFC打开摄像头显示图像]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50774976</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50774976</guid><author>kingcooper</author><pubDate>Wed, 02 Mar 2016 00:15:07 +0800</pubDate><description><![CDATA[1.创建基于对话框的MFC项目。
2.opencv的相关配置见http://blog.youkuaiyun.com/kingcooper/article/details/50769894]]></description><category></category></item><item><title><![CDATA[[opencv]opencv2.4.10在vs2013下的配置方法]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50769894</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50769894</guid><author>kingcooper</author><pubDate>Tue, 01 Mar 2016 11:37:33 +0800</pubDate><description><![CDATA[配置方法包括各类每次新建项目需要进行配置的方法和一次性配置的方法。
1.版本
opencv：2.4.10  下载地址：http://opencv.org/downloads.html
visual stdio：2013
系统：windows7 64位
2.安装
vs2013安装不做说明，opencv下载完成后直接点击安装，界面如下：


安装路径确定后进行安装，生成opencv文]]></description><category></category></item><item><title><![CDATA[[Halcon]算子学习]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50130591</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50130591</guid><author>kingcooper</author><pubDate>Tue, 01 Dec 2015 15:52:20 +0800</pubDate><description><![CDATA[1.基于blob分析的算子学习

1.1 dev_close_window(Operator)

dev_close_window — Close the active graphics window.

关闭当前激活窗口

 

1.2 dev_open_window (Operator)

dev_open_window — Open a new graphics wi]]></description><category></category></item><item><title><![CDATA[[opencv]Mat类图像遍历]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50052477</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50052477</guid><author>kingcooper</author><pubDate>Thu, 26 Nov 2015 10:31:53 +0800</pubDate><description><![CDATA[opencv学习-Mat类图像遍历：2.1简单存取像素值  2.2指针遍历  2.3迭代器  2.4遍历效率比较]]></description><category></category></item><item><title><![CDATA[[opencv]双目标定(opencv&matlab&halcon)汇总]]></title><link>https://blog.youkuaiyun.com/kingcooper/article/details/50052153</link><guid>https://blog.youkuaiyun.com/kingcooper/article/details/50052153</guid><author>kingcooper</author><pubDate>Thu, 26 Nov 2015 10:10:51 +0800</pubDate><description><![CDATA[相机的标定对于测距和重建还是很重要的，特把用过的工具和方法进行一次汇总，以便查阅、分析和讨论

——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————]]></description><category></category></item></channel></rss>