﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:trackback="http://madskills.com/public/xml/rss/module/trackback/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/"><channel><title>C++博客-bobokids-文章分类-图形识别</title><link>http://www.cppblog.com/boob-wang/category/8375.html</link><description>放大自己</description><language>zh-cn</language><lastBuildDate>Tue, 30 Sep 2008 10:23:52 GMT</lastBuildDate><pubDate>Tue, 30 Sep 2008 10:23:52 GMT</pubDate><ttl>60</ttl><item><title>图象的检测及模板匹配</title><link>http://www.cppblog.com/boob-wang/articles/62942.html</link><dc:creator>晾衣竿</dc:creator><author>晾衣竿</author><pubDate>Sat, 27 Sep 2008 18:43:00 GMT</pubDate><guid>http://www.cppblog.com/boob-wang/articles/62942.html</guid><wfw:comment>http://www.cppblog.com/boob-wang/comments/62942.html</wfw:comment><comments>http://www.cppblog.com/boob-wang/articles/62942.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cppblog.com/boob-wang/comments/commentRss/62942.html</wfw:commentRss><trackback:ping>http://www.cppblog.com/boob-wang/services/trackbacks/62942.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: &nbsp;图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。人类的视觉系统是非常优越的，它不仅包含了双眼，还包括了大脑，可以从很复杂的景物中分开并识别每个物体，甚至可以毫不费力地跟上每秒好几十帧变化的图象。举两个例子来说明一下人类视觉系统的优越性。                                       ...&nbsp;&nbsp;<a href='http://www.cppblog.com/boob-wang/articles/62942.html'>阅读全文</a><img src ="http://www.cppblog.com/boob-wang/aggbug/62942.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cppblog.com/boob-wang/" target="_blank">晾衣竿</a> 2008-09-28 02:43 <a href="http://www.cppblog.com/boob-wang/articles/62942.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>边沿检测与提取，轮廓跟踪 - 概述</title><link>http://www.cppblog.com/boob-wang/articles/62941.html</link><dc:creator>晾衣竿</dc:creator><author>晾衣竿</author><pubDate>Sat, 27 Sep 2008 18:38:00 GMT</pubDate><guid>http://www.cppblog.com/boob-wang/articles/62941.html</guid><wfw:comment>http://www.cppblog.com/boob-wang/comments/62941.html</wfw:comment><comments>http://www.cppblog.com/boob-wang/articles/62941.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cppblog.com/boob-wang/comments/commentRss/62941.html</wfw:commentRss><trackback:ping>http://www.cppblog.com/boob-wang/services/trackbacks/62941.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 边沿检测与提取，轮廓跟踪平滑与锐化时引入了模板操作，今天还要用到它。边沿检测我们给出一个模板  和一幅图象  。不难发现原图中左边暗，右边亮，中间存在着一条明显的边界。进行模板操作后的结果如下：  。可以看出，第3、4列比其他列的灰度值高很多，人眼观察时，就能发现一条很明显的亮边，其它区域都很暗，这样就起到了边沿检测的作用。为什么会这样呢？仔细看看那个模板就明白了，它的意思是将...&nbsp;&nbsp;<a href='http://www.cppblog.com/boob-wang/articles/62941.html'>阅读全文</a><img src ="http://www.cppblog.com/boob-wang/aggbug/62941.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cppblog.com/boob-wang/" target="_blank">晾衣竿</a> 2008-09-28 02:38 <a href="http://www.cppblog.com/boob-wang/articles/62941.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item></channel></rss>