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Jingdong book

OpenCV图像处理

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Jingdong book

OpenCV图像处理

Name: OpenCV图像处理
Brand: Jingdong book
SKU: 3118027241
Price: 44.21 USD
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本书使用OpenCV的新版本3.0，通过一些实用的图像处理项目，提供一种基于示例的、对OpenCV主要图像处理算法的讲解，教你学习OpenCV的图像处理技术。
每一章都提供了许多易用的编程示例，用于说明所涉及的图像处理相关概念。书中所有的示例都是使用现有免费的Qt Creator IDE和GNU/GCC编译器完成其开发和测试的。同时，还采用了CMake工具，以便在其目标平台上配置OpenCV库的构建过程。
通过阅读本书，你将学到：
创建具有丰富用户界面的OpenCV项目
图像处理相关的基本概念和任务，如图像类型、像素访问技术和图像基本操作和直方图
探讨有用的图像处理技术，包括滤波、平滑、锐化、去噪、形态学和几何变换
一些易用的算法，如图像修复和查找表（LUT）
利用OpenCV的颜色操作特性来优化图像处理
使用OpenCV的三种主要模块进行视频中的图像处理，包括视频稳定性、图像拼接和视频超分辨率
针对计算摄影学鲜为人知的可用技术，包括高动态范围（High-Dynamic-Range，HDR）成像、无缝合成、脱色和非真实感渲染

Content Description

本书由知名计算机视觉专家撰写，使用OpenCV的新版本3。0深入浅出地阐述和论证了图像处理理论、方法和技术，探讨了图像增强和校正、加速图像处理等新专题。作者在介绍OpenCV基础知识之后，系统讲述图像处理的核心技术、工具。
全书共分为7章，全面系统地讲述了图像处理领域中的核心内容，包括：构建图像处理的工具、图像的增强、图像校正、形态学运算、图像金字塔、几何变换、颜色空间、颜色变换、视频稳定性、图像拼接、图像合成、计算摄影学、加速图像处理等。为了便于学习与实践，本书提供了示例算法的编码实现，也向读者全面详尽地介绍了基于OpenCV进行图像处理编程的技术和方法。
本书既可作为从事图像处理研究的科研人员参考，也适合计算机、通信和自动化等相关专业的本科生、研究生以及工作在图像处理和识别领域一线的广大工程技术人员阅读。

Author Description

Gloria Bueno García，拥有英国考文垂大学机器视觉博士学位，曾在多个研究中心担任首席研究员。她拥有两项发明专利、一项软件注册权和100多篇期刊论文，主要研究方向为二维/三维多模态图像处理和人工智能。

Oscar Deniz Suarez，研究兴趣主要集中在计算机视觉和模式识别，发表期刊和会议论文50多篇，他的研究成果被Existor、Gliif、Tapmedia、E-Twenty等行业领先公司采用，并且已经被添加到OpenCV中。

刘冰，重庆邮电大学计算机科学与技术学院专业教师，重庆大学计算机学院在读博士生。先后荣获重庆邮电大学优秀青年教师、课堂优秀教学二等奖、优秀班导师、优秀班主任等荣誉称号。获国家专利授权1项，编著教材5部，译著2部，参与国家*项目3项，主研重庆市市级项目4项。

朱征宇，重庆大学计算机学院教授、博士生导师，计算机科学系主任。曾获四川省优秀软件二等奖、石油部优秀软件产品展示会一等奖、2012年重庆市科技进步二等奖，国家发明专利4项，SCI/EI收录论文近30篇，承担多项国家或省部级课题。

Catalogue

译者序
作者简介
审校者简介
前言
第1章处理图像文件和视频文件 1
1.1OpenCV介绍 1
1.2下载和安装OpenCV 2
1.2.1获取编译器和设置CMake 4
1.2.2使用CMake配置OpenCV 4
1.2.3库的编译和安装 7
1.3OpenCV的结构 7
1.4使用OpenCV创建用户项目 9
1.4.1库的一般使用方法 9
1.4.2开发新项目的工具 10
1.4.3使用Qt生成器创建OpenCV C++程序 11
1.5读取和写入图像文件 13
1.5.1基本API概念 13
1.5.2支持图像文件的格式 15
1.5.3示例代码 16
1.6读取和写入视频文件 20
1.7用户交互工具 22
1.7.1滑动条 24
1.7.2鼠标交互 25
1.7.3按钮 26
1.7.4文本绘制与显示 27
1.8小结 29
第2章构建图像处理工具 30
2.1基本数据类型 30
2.2像素级访问 33
2.3测量时间 34
2.4图像的常用操作 34
2.5算术运算 35
2.6数据持久化 39
2.7直方图 40
2.7.1ColourImageEqualizeHist示例代码 42
2.7.2ColourImageComparison示例代码 46
2.8小结 50
第3章校正和增强图像 51
3.1图像滤波 51
3.1.1平滑 52
3.1.2锐化 55
3.1.3图像金字塔 58
3.2形态学运算 61
3.3查找表 64
3.4几何变换 66
3.4.1仿射变换 67
3.4.2透视变换 74
3.5图像修复 78
3.6去噪 82
3.7小结 85
第4章处理颜色 86
4.1颜色空间 86
4.2基于颜色空间的分割 105
4.2.1HSV分割 106
4.2.2YCrCb分割 107
4.3颜色变换 109
4.4小结 111
第5章视频图像处理 112
5.1视频稳定性 112
5.2超分辨率 120
5.3拼接 127
5.4小结 140
第6章计算摄影学 141
6.1高动态范围成像 141
6.1.1创建HDR图像 144
6.1.2色调映射 147
6.1.3对准 149
6.1.4曝光合成 149
6.2无缝合成 150
6.3脱色 152
6.4非真实感图像渲染 153
6.5小结 156
第7章加速图像处理 157
7.1安装带OpenCL的OpenCV 159
7.1.1安装带OpenCL的OpenCV的一种快速方法 163
7.1.2检查GPU的使用情况 163
7.2加速你自己的函数 164
7.2.1检查你的OpenCL 164
7.2.2第一个基于GPU的程序 166
7.2.3实时处理 169
7.3小结 173

Introduction

OpenCV，可以说是使用最广泛的计算机视觉库，它包括几百个易用的图像成像和视觉函数，既可用于学术研究，也可用于工业领域。随着摄像机越来越便宜和对影像学特征需求的增长，无论是对于台式机还是移动平台，OpenCV的应用范围都有了显著增长。
本书结合示例讲述OpenCV的主要图像处理算法。OpenCV方面的其他书籍试图说明其基础理论，或提供接近完整的大型应用程序示例，而本书则针对这样的读者而编写：他们想要尽量快速地得到一个易于理解的工作示例，并可能在此基础上开发一些附加功能。
本书以一个介绍性的章节作为开始，说明库的安装，描述库的结构，并给出基本图像和视频的读取与写入示例。随后的章节包括以下一些内容：图像和视频的处理，基本图像处理工具，校正和增强图像，颜色、视频处理以及计算摄影学。最后但同样重要的章节介绍一些高级特性，例如基于GPU的加速。本书对最新的主要版本OpenCV 3中的新功能和技术进行了全面的说明。
本书包含的内容
第1章展示如何读取图像和视频文件。该章还介绍了基本的用户交互工具，这些工具在图像处理中非常有用，可用于更改参数值、选择感兴趣区域等。
第2章讲述在后续章节中所需要的一些主要数据结构和基本过程。
第3章介绍用于校正图像缺陷的一些典型变换。该章包括滤波、使用查找表的点变换、几何变换，以及关于图像修复和图像去噪的一些算法。
第4章讨论图像处理中的颜色话题。该章讲述如何使用不同的颜色空间，以及如何在两幅图像之间进行颜色空间的转换。
第5章包括用于视频或图像序列处理的一些技术。该章重点介绍有关视频稳定、超分辨率和图像拼接的一些算法的实现。
第6章介绍如何读取HDR图像，以及如何在其上进行色调映射。
第7章包括图像处理中的一个重要话题：速度。对于降低图像处理任务消耗的时间，现代GPU是最佳的技术。
阅读本书所需的知识
本书旨在通过一些实用的图像处理项目教大家学习OpenCV的图像处理技术。本书将使用OpenCV的最新版本3.0。
每一章都提供了许多易用的示例，用于说明所涉及的一些概念。因此，本书的重点集中在尽快地提供一个可行示例，以便读者可以在此基础上开发一些附加功能。
要使用本书，只需有免费软件即可。书中所有的示例都是使用现有免费的Qt Creator IDE和GNU/GCC编译器完成开发与测试的。还采用了CMake工具，以便在其目标平台上配置OpenCV库的构建过程。此外，在第7章中给出的GPU加速示例，还需要免费的OpenCL SDK。
本书适合的读者
本书适合已经了解C++编程并且想要学习如何使用OpenCV进行图像处理的读者阅读。应该具备最起码的图像处理理论背景知识。本书并不涉及与计算机视觉关系更为密切的话题，例如，特征和对象检测、追踪或机器学习。

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