<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Manketon的专栏]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/Manketon</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; Manketon]]></copyright><item><title><![CDATA[墨卡托图中的缺陷缝合算法]]></title><link>https://blog.csdn.net/Manketon/article/details/167272433</link><guid>https://blog.csdn.net/Manketon/article/details/167272433</guid><author>Manketon</author><pubDate>Thu, 08 Oct 2026 13:45:52 +0800</pubDate><description><![CDATA[对于两个不相连的缺陷区域，将这两个区域轮廓之间距离最近的一对顶点分别记为P1，P2，如果点P1与P2在X方向上和Y方向上的距离（像素维度）都小于等于阈值，则可进行缝合；或者，点P1与P2之间的距离（um维度）小于阈值，则可进行缝合。图2 自研缝合算法与Candela 8520缝合效果对比（绿色点位缝合填充点）在点P1、P2之间，分别在X/Y方向上交替填充缺陷点（阶梯缝合法）。图1  缝合算法实例（周向、径向缝合阈值都是2）]]></description><category></category></item><item><title><![CDATA[墨卡托视图与极坐标视图互转]]></title><link>https://blog.csdn.net/Manketon/article/details/167272116</link><guid>https://blog.csdn.net/Manketon/article/details/167272116</guid><author>Manketon</author><pubDate>Thu, 08 Oct 2026 13:35:38 +0800</pubDate><description><![CDATA[墨卡托视图与极坐标视图互转]]></description><category></category></item><item><title><![CDATA[条状缺陷缝合算法]]></title><link>https://blog.csdn.net/Manketon/article/details/167269270</link><guid>https://blog.csdn.net/Manketon/article/details/167269270</guid><author>Manketon</author><pubDate>Thu, 08 Oct 2026 11:20:53 +0800</pubDate><description><![CDATA[在二值图中，缝合条状缺陷（如划痕、滑移线等）]]></description><category></category></item><item><title><![CDATA[基于频域来增强磁盘中褶皱缺陷]]></title><link>https://blog.csdn.net/Manketon/article/details/167268533</link><guid>https://blog.csdn.net/Manketon/article/details/167268533</guid><author>Manketon</author><pubDate>Thu, 08 Oct 2026 11:11:12 +0800</pubDate><description><![CDATA[基于频域的图像处理算法来增强磁盘中的褶皱缺陷的对比度]]></description><category></category></item><item><title><![CDATA[晶圆缺陷检测：Optical wafer defect inspection at the 10 nm technology node and beyond]]></title><link>https://blog.csdn.net/Manketon/article/details/134081184</link><guid>https://blog.csdn.net/Manketon/article/details/134081184</guid><author>Manketon</author><pubDate>Fri, 27 Oct 2023 17:39:10 +0800</pubDate><description><![CDATA[10 nm 技术节点及更高节点的光学晶圆缺陷检测 - IOPscience]]></description><category></category></item><item><title><![CDATA[使用Python的可视化技术来分析鸢尾花(iris)数据集]]></title><link>https://blog.csdn.net/Manketon/article/details/116402930</link><guid>https://blog.csdn.net/Manketon/article/details/116402930</guid><author>Manketon</author><pubDate>Tue, 04 May 2021 17:39:54 +0800</pubDate><description><![CDATA[参考：https://www.jianshu.com/p/52b86c774b0b


]]></description><category></category></item><item><title><![CDATA[ffmpeg中的时间/时长相关]]></title><link>https://blog.csdn.net/Manketon/article/details/114830630</link><guid>https://blog.csdn.net/Manketon/article/details/114830630</guid><author>Manketon</author><pubDate>Mon, 15 Mar 2021 13:57:34 +0800</pubDate><description><![CDATA[Reference:https://www.cnblogs.com/yinxiangpei/articles/3892982.html

博客的目录 （具体参见原博客）

1视频的显示和存放原理

	1.1DTS和PTS
	
	2ffmpeg中的时间单位
	2.1AV_TIME_BASE
		2.2AV_TIME_BASE_Q
		2.3时间基转换公式
	
...]]></description><category></category></item><item><title><![CDATA[Tensorflow 1.x官方教程译文的链接]]></title><link>https://blog.csdn.net/Manketon/article/details/114820283</link><guid>https://blog.csdn.net/Manketon/article/details/114820283</guid><author>Manketon</author><pubDate>Mon, 15 Mar 2021 10:33:59 +0800</pubDate><description><![CDATA[虽然Tensorflow是使用静态图，对模型设计要求较高，但是，其更接近模型“底层”，类似于手动挡汽车与自动挡的区别。为了能够更好地理解/查看模型的相关变量，故还是应该会Tensorflow 1.x。

极客学院:TensorFlow 官方文档中文版

W3CSchool:TensorFlow官方文档
...]]></description><category></category></item><item><title><![CDATA[NVIDIA Nsight Visual Studio Edition的官方手册]]></title><link>https://blog.csdn.net/Manketon/article/details/114737811</link><guid>https://blog.csdn.net/Manketon/article/details/114737811</guid><author>Manketon</author><pubDate>Sat, 13 Mar 2021 11:46:43 +0800</pubDate><description><![CDATA[Doc:https://docs.nvidia.com/nsight-visual-studio-edition/index.html
]]></description><category></category></item><item><title><![CDATA[落叶松：用于X射线光谱的数据分析工具]]></title><link>https://blog.csdn.net/Manketon/article/details/114367170</link><guid>https://blog.csdn.net/Manketon/article/details/114367170</guid><author>Manketon</author><pubDate>Thu, 04 Mar 2021 14:12:02 +0800</pubDate><description><![CDATA[这是一个专用于分析X射线光谱的数据分析工具

Reference:http://xraypy.github.io/xraylarch/
]]></description><category></category></item><item><title><![CDATA[xshell4连接ssh时报错:no matchin goutgoing encryption algorithm]]></title><link>https://blog.csdn.net/Manketon/article/details/113567775</link><guid>https://blog.csdn.net/Manketon/article/details/113567775</guid><author>Manketon</author><pubDate>Tue, 02 Feb 2021 17:28:32 +0800</pubDate><description><![CDATA[解决办法参见:

1.sudo vi /etc/ssh/sshd_config

#在/etc/ssh/sshd_config中增加上述的三行配置信息



Ciphers "aes128-cbc"



MACs "hmac-md5"



KexAlgorithms "diffie-hellman-group1-sha1"

注意：我这里仅使用了参考连接中的第一个配置项 ，并且都使用了双引号的，不加双引号或者配置项多了时，重启ssh服务会报错。

Reference:

https://blo...]]></description><category></category></item><item><title><![CDATA[QT工程中pro文件详解]]></title><link>https://blog.csdn.net/Manketon/article/details/113416359</link><guid>https://blog.csdn.net/Manketon/article/details/113416359</guid><author>Manketon</author><pubDate>Sat, 30 Jan 2021 10:24:08 +0800</pubDate><description><![CDATA[下面这个链接详解了Qt 工程 pro文件的常用配置项以及含义。

Reference:Qt 工程 pro文件
]]></description><category></category></item><item><title><![CDATA[牛人的人工智能教程]]></title><link>https://blog.csdn.net/Manketon/article/details/110815284</link><guid>https://blog.csdn.net/Manketon/article/details/110815284</guid><author>Manketon</author><pubDate>Mon, 07 Dec 2020 13:59:27 +0800</pubDate><description><![CDATA[Reference:人工智能教程
]]></description><category></category></item><item><title><![CDATA[c/c++中的使用循环队列以适用于生产者消费者场景]]></title><link>https://blog.csdn.net/Manketon/article/details/109239087</link><guid>https://blog.csdn.net/Manketon/article/details/109239087</guid><author>Manketon</author><pubDate>Fri, 23 Oct 2020 11:24:21 +0800</pubDate><description><![CDATA[Reference:

    boost circular_buffer的特性及应用（并提高适用于音视频系统的方案）

    Ring Buffer (circular Buffer)环形缓冲区简介（C++版本）
]]></description><category></category></item><item><title><![CDATA[彩色图像-色彩空间 HSI(HSL)、HSV(HSB)]]></title><link>https://blog.csdn.net/Manketon/article/details/105367223</link><guid>https://blog.csdn.net/Manketon/article/details/105367223</guid><author>Manketon</author><pubDate>Tue, 07 Apr 2020 16:18:57 +0800</pubDate><description><![CDATA[Reference:http://www.tony4ai.com/DIP-8-6-彩色图像-色彩空间-HSI-HSL-HSV-HSB/


]]></description><category></category></item><item><title><![CDATA[编译CMake-2.8.12.2]]></title><link>https://blog.csdn.net/Manketon/article/details/105358439</link><guid>https://blog.csdn.net/Manketon/article/details/105358439</guid><author>Manketon</author><pubDate>Tue, 07 Apr 2020 10:20:20 +0800</pubDate><description><![CDATA[Reference:http://www.linuxfromscratch.org/blfs/view/7.5/general/cmake.html

Beyond Linux®From Scratch - Version 7.5

Chapter13.Programming

Prev

	Check-0.9.12
	
	Next
	CVS-1.11.23
	
	Up
	Home
CMak...]]></description><category></category></item><item><title><![CDATA[目标检测中mAP计算示例]]></title><link>https://blog.csdn.net/Manketon/article/details/102459387</link><guid>https://blog.csdn.net/Manketon/article/details/102459387</guid><author>Manketon</author><pubDate>Wed, 09 Oct 2019 14:04:21 +0800</pubDate><description><![CDATA[Reference:https://github.com/rafaelpadilla/Object-Detection-Metrics
]]></description><category></category></item><item><title><![CDATA[图像处理基本算法之形状特征]]></title><link>https://blog.csdn.net/Manketon/article/details/100133480</link><guid>https://blog.csdn.net/Manketon/article/details/100133480</guid><author>Manketon</author><pubDate>Thu, 29 Aug 2019 14:46:04 +0800</pubDate><description><![CDATA[Reference:图像处理基本算法之形状特征

下文是在原文基础上进行修改的，具体可以查看原文。

（一）形状特征

 （一）特点：各种基于形状特征的检索方法都可以比较有效地利用图像中感兴趣的目标来进行检索，但它们也有一些共同的问题，包括：①目前基于形状的检索方法还缺乏比较完善的数学模型；②如果目标有变形时检索结果往往不太可靠；③许多形状特征仅描述了目标局部的性质，要全面描述目标常对计算时间和...]]></description><category></category></item><item><title><![CDATA[Opencv轮廓矩【判断形态方向、匹配度等】]]></title><link>https://blog.csdn.net/Manketon/article/details/100124953</link><guid>https://blog.csdn.net/Manketon/article/details/100124953</guid><author>Manketon</author><pubDate>Wed, 28 Aug 2019 19:00:11 +0800</pubDate><description><![CDATA[Reference:Opencv轮廓矩【判断形态方向、匹配度】 （细看，比OpenCV中文版中讲解得好）
]]></description><category></category></item><item><title><![CDATA[迭代器失效的几种情况总结]]></title><link>https://blog.csdn.net/Manketon/article/details/100124917</link><guid>https://blog.csdn.net/Manketon/article/details/100124917</guid><author>Manketon</author><pubDate>Wed, 28 Aug 2019 18:57:01 +0800</pubDate><description><![CDATA[Reference：迭代器失效的几种情况总结 （总结了数组型数据结构、链表型数据结构、树型数据结构）

值得细看
]]></description><category></category></item></channel></rss>