﻿<?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>IT博客-Software-as-a-Service（软件即服务）-随笔分类-ImageProc</title><link>http://www.cnitblog.com/edaiqingwa/category/6458.html</link><description>Welcome To My Home!------群号：32723148
软件开发兼职和承包小项目,欢迎邮件咨询合作,xqzhaowhut@qq.com.</description><language>zh-cn</language><lastBuildDate>Mon, 26 Sep 2011 19:37:06 GMT</lastBuildDate><pubDate>Mon, 26 Sep 2011 19:37:06 GMT</pubDate><ttl>60</ttl><item><title>目标区域参数测量</title><link>http://www.cnitblog.com/edaiqingwa/archive/2007/12/13/37670.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Thu, 13 Dec 2007 10:58:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2007/12/13/37670.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/37670.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2007/12/13/37670.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/37670.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/37670.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 图象的参数测量基于图象的边界提取和跟踪。在对二值化图象进行边界提取后，目标区域的边界点坐标信息以结点的形式保存于链表中，然后以某个结点为边界的起始点，对链表中的结点进行遍历，寻找与该结点所对应象素点属于同一区域边界的结点，并重新排列结点顺序，直到完成对所有链表结点的遍历。通过边界提取和跟踪，将图象中各个有效区域的边界点信息以链表的形式表达，不仅可以实现参数测量的数据上的准备，而且在数据结构上也是一种有效的表达方式，有利于采用快速算法进行数据处理。&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2007/12/13/37670.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/37670.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2007-12-13 18:58 <a href="http://www.cnitblog.com/edaiqingwa/archive/2007/12/13/37670.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>RGB、HSV色彩空间模式的互相转换</title><link>http://www.cnitblog.com/edaiqingwa/archive/2007/10/31/35643.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Wed, 31 Oct 2007 01:17:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2007/10/31/35643.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/35643.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2007/10/31/35643.html#Feedback</comments><slash:comments>5</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/35643.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/35643.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 在开发有关bitmap方面的程序时，经常需要将位图的颜色在RGB和HSV色彩空间之间转换，该颜色转换由C++实现：<br>&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2007/10/31/35643.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/35643.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2007-10-31 09:17 <a href="http://www.cnitblog.com/edaiqingwa/archive/2007/10/31/35643.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>人脸检测的C/C++源代码</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21067.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Mon, 25 Dec 2006 02:10:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21067.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/21067.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21067.html#Feedback</comments><slash:comments>8</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/21067.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/21067.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21067.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/21067.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-25 10:10 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21067.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>Face Recognition Tool</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21066.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Mon, 25 Dec 2006 02:00:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21066.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/21066.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21066.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/21066.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/21066.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: This face recognition tool gives the computer the ability to recognize a face from image files (BMP format) or directly from an USB camera. The system requirements for this application are a Pentium® processor-based computer and Microsoft* Windows* NT 4.0, 98, or 2000. The face recognition uses OpenCV code for embedded hidden Markov model. The approach is described in "Face recognition using an embedded HMM" paper. &nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21066.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/21066.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-25 10:00 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/25/21066.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>在VC中调用matlab image processing toolbox进行图像处理</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/21/20907.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Thu, 21 Dec 2006 06:19:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/21/20907.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/20907.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/21/20907.html#Feedback</comments><slash:comments>4</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/20907.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/20907.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 为了简单，该程序只能处理256级灰度图像！<br>开发环境：WindowsXP(sp1) + VC6(sp6) + Matlab7.0(sp1)<br>//调用matlab图像处理工具箱的canny边缘检测<br>void CImgDemoView::Oncalliptoolboxcanny() &nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/21/20907.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/20907.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-21 14:19 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/21/20907.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>Visual C++中DDB与DIB位图编程全攻略</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/05/20078.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Tue, 05 Dec 2006 02:09:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/05/20078.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/20078.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/05/20078.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/20078.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/20078.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 先来用通俗的语句讲解位图和调色板的概念。<br>　　我们知道，自然界中的所有颜色都可以由红、绿、蓝(R，G，B)三基色组合而成。针对含有红、绿、蓝色成分的多少，可以对其分别分成0～255个等级，而红、绿、蓝的不同组合共有256×256×256种，因此约能表示1600万种颜色。对于人眼而言，这已经是"真彩色"了。<br>&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/05/20078.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/20078.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-05 10:09 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/05/20078.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>如何获取BMP的数据</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20044.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Mon, 04 Dec 2006 08:37:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20044.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/20044.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20044.html#Feedback</comments><slash:comments>2</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/20044.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/20044.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 我在内存中创建了一个BMP(CBITMAP)图象,想获取我创建的BMP图象的数据该如何处理&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20044.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/20044.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-04 16:37 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20044.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>位图读写类（FG_DIB)综述</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20031.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Mon, 04 Dec 2006 05:54:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20031.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/20031.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20031.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/20031.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/20031.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 位图读写类（FG_DIB)综述------FG_DIB.H&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20031.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/20031.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-04 13:54 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/04/20031.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>位图文件读写综述</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/12/01/19799.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Fri, 01 Dec 2006 02:49:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/12/01/19799.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/19799.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/12/01/19799.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/19799.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/19799.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 关于位图文件操作的资料很多。为了方便开发人员的工作，写下本文，介绍了位图文件结构，在此基础之上设计了通用类CFG_DIB，用于进行位图文件的读写操作。&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/12/01/19799.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/19799.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-12-01 10:49 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/12/01/19799.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>位图处理类BmpProc源码</title><link>http://www.cnitblog.com/edaiqingwa/archive/2006/11/30/19759.html</link><dc:creator>济公</dc:creator><author>济公</author><pubDate>Thu, 30 Nov 2006 06:18:00 GMT</pubDate><guid>http://www.cnitblog.com/edaiqingwa/archive/2006/11/30/19759.html</guid><wfw:comment>http://www.cnitblog.com/edaiqingwa/comments/19759.html</wfw:comment><comments>http://www.cnitblog.com/edaiqingwa/archive/2006/11/30/19759.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>http://www.cnitblog.com/edaiqingwa/comments/commentRss/19759.html</wfw:commentRss><trackback:ping>http://www.cnitblog.com/edaiqingwa/services/trackbacks/19759.html</trackback:ping><description><![CDATA[&nbsp;&nbsp;&nbsp;&nbsp; 摘要: 位图处理类也是我们在编写程序的时候经常用到的一个类！&nbsp;&nbsp;<a href='http://www.cnitblog.com/edaiqingwa/archive/2006/11/30/19759.html'>阅读全文</a><img src ="http://www.cnitblog.com/edaiqingwa/aggbug/19759.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="http://www.cnitblog.com/edaiqingwa/" target="_blank">济公</a> 2006-11-30 14:18 <a href="http://www.cnitblog.com/edaiqingwa/archive/2006/11/30/19759.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item></channel></rss>