<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[puqian13的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/puqian13</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; puqian13]]></copyright><item><title><![CDATA[从opencv-python入门opencv--opencv-python简介]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/142728385</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/142728385</guid><author>puqian13</author><pubDate>Mon, 02 Dec 2024 11:40:10 +0800</pubDate><description><![CDATA[本文为《从opencv-python入门opencv》系列的第一篇文章，主要介绍opencv、python、opencv-python以及本系列文章代码使用的编程环境。OpenCV（Open Source Computer Vision Library）是一个开源的计算机视觉和机器学习软件库。它由英特尔于 1999 年发起，旨在提供一个通用的计算机视觉工具集，帮助开发者和研究人员在图像处理、视频分析、特征检测、物体识别等领域快速构建应用程序。]]></description><category></category></item><item><title><![CDATA[从opencv-python入门opencv--图像处理之金字塔]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/142985404</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/142985404</guid><author>puqian13</author><pubDate>Mon, 02 Dec 2024 11:38:28 +0800</pubDate><description><![CDATA[1、介绍图像金字塔，包括高斯金字塔以及拉普莱斯金字塔，以及其在opencv中的实现2、案例：使用高斯金字塔和拉普拉斯金字塔无缝拼接图像在金字塔多层的图像中，高斯金字塔上下采样时的插值以及滤波对拼接图像的过度带有了明显的平滑效果，使得两边的像素值看起来不是具有明显的差异，而拉普拉斯金字塔保留了每一级的细节和边界，所以使用高斯和拉普拉斯进行图像拼接，可以使得缝隙不是那么明显，又很大程度上保证了图像的清晰度。]]></description><category></category></item><item><title><![CDATA[从opencv-python入门opencv--图像处理之图像滤波]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/143762999</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/143762999</guid><author>puqian13</author><pubDate>Thu, 14 Nov 2024 16:26:42 +0800</pubDate><description><![CDATA[本文主要介绍经典的图像滤波器，包括均值滤波、中值滤波、高斯滤波和双边滤波。涉及的opencv-python函数有cv.filter2D()、 cv.boxFilter()、cv.GaussianBlur()、cv.blur()和cv.bilateralFilter等。]]></description><category></category></item><item><title><![CDATA[双边滤波器原理简述及C++实现]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/143746085</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/143746085</guid><author>puqian13</author><pubDate>Thu, 14 Nov 2024 10:53:41 +0800</pubDate><description><![CDATA[本文主要简述双边滤波器原理，尽可能通俗易懂，最后用C++实现双边滤波器，加深对原理及公式的理解。]]></description><category></category></item><item><title><![CDATA[从opencv-python入门opencv--图像处理之阈值操作]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/143688187</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/143688187</guid><author>puqian13</author><pubDate>Tue, 12 Nov 2024 16:00:22 +0800</pubDate><description><![CDATA[本文介绍opencv中最基础的图像处理方式，阈值分割，主要介绍直接阈值算法、自适应阈值算法和大津阈值算法。本章主要涉及的opencv函数有cv.threshold、cv.adaptiveThreshold。]]></description><category></category></item><item><title><![CDATA[从opencv-python入门opencv--GUI功能之绘图&鼠标与图像界面的交互]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/142795845</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/142795845</guid><author>puqian13</author><pubDate>Mon, 14 Oct 2024 10:56:28 +0800</pubDate><description><![CDATA[1、本文主要介绍opencv的绘图功能以及鼠标与图像界面的交互功能。2、包含直线、矩形、圆形等的绘制。3、opencv鼠标回调功能介绍。4、案例：鼠标和键盘配合在图像中绘制图形。5、案例：鼠标点击显示图像当前位置的像素和坐标。6、案例：删除上一次鼠标绘制及一次性清空所有鼠标绘制。]]></description><category></category></item><item><title><![CDATA[从opencv-python入门opencv--GUI功能之图像和视频操作]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/142747269</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/142747269</guid><author>puqian13</author><pubDate>Wed, 09 Oct 2024 20:26:38 +0800</pubDate><description><![CDATA[本文主要介绍opencv的GUI（Graphics User Interface）中的图像和视频操作，GUI中文指图像用户界面。]]></description><category></category></item><item><title><![CDATA[图像滤波---各项异性扩散滤波使用笔记及代码]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/142215902</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/142215902</guid><author>puqian13</author><pubDate>Sat, 14 Sep 2024 10:03:12 +0800</pubDate><description><![CDATA[1、文章首先介绍各项异性扩散滤波以及各项同性滤波
2、接着简要的说明各项异性滤波算法的原理和功能
3、然后对各项异性滤波算法的几个参数的作用及调试进行详解
4、最后附上各项异性滤波matlab的代码]]></description><category></category></item><item><title><![CDATA[Kahan‘s Summation Formula算法原理详解]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/141187256</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/141187256</guid><author>puqian13</author><pubDate>Wed, 14 Aug 2024 13:58:38 +0800</pubDate><description><![CDATA[Kahan's Summation Formula算法原理详解]]></description><category></category></item><item><title><![CDATA[由于找不到MSVCP120D.dll,无法继续执行代码。重新安装程序可能会解决此问题]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/138665003</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/138665003</guid><author>puqian13</author><pubDate>Fri, 10 May 2024 15:31:19 +0800</pubDate><description><![CDATA[由于找不到MSVCP120D.dll,无法继续执行代码。重新安装程序可能会解决此问题]]></description><category></category></item><item><title><![CDATA[cuda编程---二维图像实现并行归约算法及基础优化方式]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/138334794</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/138334794</guid><author>puqian13</author><pubDate>Tue, 30 Apr 2024 16:02:46 +0800</pubDate><description><![CDATA[cuda编程---二维图像实现并行归约算法及基础优化方式
注：
1、本文不做任何公式推导，主要包含对算法的个人理解及少量的代码
2、以求取最大值为例，给出二维图像并行规约代码
	代码中对于图像数据的处理，采用1维的共享内存和2维的共享内存分别实现归约
3、对于归约算法基础的优化方式（这里指连续寻址、分支发散），分析其背后的机制]]></description><category></category></item><item><title><![CDATA[cuda编程---将连续内存中存储的图像数据分配到共享内存中]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/138312873</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/138312873</guid><author>puqian13</author><pubDate>Mon, 29 Apr 2024 16:04:27 +0800</pubDate><description><![CDATA[cuda编程--将连续内存中存储的图像数据分配到共享内存中]]></description><category></category></item><item><title><![CDATA[cuda代码中使用原子函数处理小数（附最值和求和代码）]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/138187915</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/138187915</guid><author>puqian13</author><pubDate>Thu, 25 Apr 2024 16:53:21 +0800</pubDate><description><![CDATA[cuda代码中重载原子函数，实现小数的处理]]></description><category></category></item><item><title><![CDATA[图像数据做并行规约时，如何确定共享内存和网格的大小]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/138076646</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/138076646</guid><author>puqian13</author><pubDate>Mon, 22 Apr 2024 17:25:23 +0800</pubDate><description><![CDATA[图像数据做并行规约时，如何确定共享内存和网格的大小]]></description><category></category></item><item><title><![CDATA[数字图像线性滤波——方框、均值、高斯滤波及opencv（C++）实现示例]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/135548723</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/135548723</guid><author>puqian13</author><pubDate>Fri, 12 Jan 2024 14:05:17 +0800</pubDate><description><![CDATA[数字图像线性滤波——方框、均值、高斯滤波及opencv（C++）实现示例]]></description><category></category></item><item><title><![CDATA[李纯明水平集源码C++复现笔记]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/135457488</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/135457488</guid><author>puqian13</author><pubDate>Mon, 08 Jan 2024 16:46:24 +0800</pubDate><description><![CDATA[李纯明水平集源码C++复现笔记]]></description><category></category></item><item><title><![CDATA[Mat的传参特性和拷贝特性]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/135273961</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/135273961</guid><author>puqian13</author><pubDate>Thu, 28 Dec 2023 17:16:31 +0800</pubDate><description><![CDATA[Mat的传参特性和拷贝特性]]></description><category></category></item><item><title><![CDATA[对数压缩和对数变换]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/134940476</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/134940476</guid><author>puqian13</author><pubDate>Tue, 12 Dec 2023 10:57:00 +0800</pubDate><description><![CDATA[在数字图像处理技术中，对数压缩主要用于图像的动态范围压缩，使用对数变换技术。对数变换主要用于图像的增强。二者原理一致，在公式上有一定的差异。人眼对亮度的响应具有对数性质，在平均亮度大的区域，人眼对灰度不敏感，在平均亮度低的区域，人眼对灰度误差更敏感。对数变换使得图像的低灰度区域扩展，高灰度区域压缩。]]></description><category></category></item><item><title><![CDATA[图像平滑、降噪、滤波、采样浅谈]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/134879079</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/134879079</guid><author>puqian13</author><pubDate>Fri, 08 Dec 2023 15:08:28 +0800</pubDate><description><![CDATA[自己对这四者理解的心得。]]></description><category></category></item><item><title><![CDATA[图像的均方差和信噪比计算]]></title><link>https://blog.youkuaiyun.com/puqian13/article/details/134878558</link><guid>https://blog.youkuaiyun.com/puqian13/article/details/134878558</guid><author>puqian13</author><pubDate>Fri, 08 Dec 2023 15:00:38 +0800</pubDate><description><![CDATA[图像的均方差和信噪比公式及代码，代码基于opencv和c++]]></description><category></category></item></channel></rss>