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Jingdong book

国外电子与通信教材系列:数字图像处理(第6版)

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本书是作者50年来在科研、教育和应用领域经验的总结,适合于读者自学,是数字图像处理领域的经典参考图书。
Content Description

《国外电子与通信教材系列:数字图像处理(第6版)》是关于图像处理基本原理及其具体应用的图书,是作者多年来教学、科研与应用的总结。《国外电子与通信教材系列:数字图像处理(第6版)》共15章,内容贯穿从图像获取到应用的整个过程,具体包括图像获取、人类视觉、打印和存储、成像缺陷修正、空间域图像增强、频率域图像处理、分割和阈值处理、二值图像处理、全局图像测量、特定特征的测量、形状表征、特征识别与分类、层析成像、三维可视化、表面成像。
《国外电子与通信教材系列:数字图像处理(第6版)》的特色是,着重于各种图像处理方法的介绍与比较,并使用实例进行演示与说明。
Author Description

余翔宇,博士,毕业于武汉大学电子信息学院,现任华南理工大学电信学院副教授,主要讲授通信原理、数字信号处理等课程。
Catalogue

第1章 获取图像
1.1 人类依赖图像来获取信息
1.2 摄像机
1.3 CCD相机
1.4 相机缺陷与限制
1.5 彩色相机
1.6 相机分辨率
1.7 对焦
1.8 电子和带宽限制
1.9 像素
1.10 灰度分辨率
1.11 噪声
1.12 高深度图像
1.13 彩色成像
1.14 数码相机的局限性
1.15 色彩空间
1.16 色彩校正
1.17 彩色显示器
1.18 图像类型
1.19 距离成像
1.20 多幅图像
1.21 体视法
1.22 成像需求

第2章 人类视觉
2.1 我们看到了什么,为什么会看到
2.2 识别
2.3 技术参数
2.4 敏度
2.5 眼睛告诉大脑的内容
2.6 空间比较
2.7 局部到全局层次结构
2.8 时间问题
2.9 第三维
2.10 工作原理与工作内容
2.11 看到不存在的东西,反之亦然
2.12 图像压缩
2.13 光的世界
2.14 尺寸很重要
2.15 形状
2.16 上下文
2.17 必须做好布局
2.18 眼见为实
2.19 结论

第3章 打印和存储
3.1 打印
3.2 纸张上的点
3.3 彩色印刷
3.4 印刷硬件
3.5 胶片记录器
3.6 其他演示工具
3.7 文件存储
3.8 存储介质
3.9 磁性记录
3.10 图像数据库
3.11 浏览和缩略图
3.12 无损编码
3.13 简化的调色板
3.14 JPEG压缩
3.15 小波压缩
3.16 分形压缩
3.17 数字电影

第4章 修正成像缺陷
4.1 对比度扩展
4.2 带噪图像
4.3 邻域平均法
4.4 邻域排序
4.5 其他邻域降噪方法
4.6 缺陷消除、最大熵和最大似然
4.7 非均匀光照
4.8 拟合背景函数
4.9 排序调匀
4.10 彩色图像
4.11 非平面视图
4.12 计算机图形学
4.13 几何失真
4.14 对齐
4.15 内插
4.16 变形

第5章 空间域图像增强
5.1 对比度控制
5.2 直方图均衡
5.3 局部均衡
5.4 拉普拉斯算子
5.5 导数
5.6 使用梯度找到边缘
5.7 其他边缘检测器
5.8 纹理
5.9 分形分析
5.10 实现说明
5.11 图像数学基础
5.12 减去图像
5.13 相乘和相除
5.14 主成分分析
5.15 其他图像组合

第6章 频率空间中的图像处理
6.1 关于频率空间
6.2 傅里叶变换
6.3 简单函数的傅里叶变换
6.4 频率和方向
6.5 首选方向
6.6 纹理和分形
6.7 隔离周期性噪声
6.8 选择性掩模和滤波器
6.9 周期性信息的选择
6.10 卷积
6.11 去卷积
6.12 噪声和维纳去卷积
6.13 模板匹配和相关
6.14 自相关

第7章 分割和阈值处理
7.1 阈值处理
7.2 自动设定阈值
7.3 多波段图像
7.4 二维阈值
7.5 多频段阈值处理
7.6 来自纹理的阈值处理
7.7 多个阈值处理标准
7.8 纹理方向
7.9 区域边界
7.10 条件直方图
7.11 边界线
7.12 轮廓
7.13 图像表示
7.14 其他分割方法
7.15 一般分类问题

第8章 二值图像处理
8.1 布尔运算
8.2 组合布尔运算
8.3 掩模
8.4 从像素到特征
8.5 特征的布尔逻辑运算
8.6 按位置选取特征
8.7 双阈值处理
8.8 腐蚀和膨胀
8.9 开运算和闭运算
8.10 各向同性
8.11 使用腐蚀和膨胀进行测量
8.12 扩展到灰度图像
8.13 形态学邻域参数
8.14 应用示例
8.15 欧氏距离图
8.16 分水岭分割
8.17 最终的腐蚀点
8.18 骨架
8.19 边界线条和加粗
8.20 组合骨架和EDM

第9章 全局图像测量
9.1 全局测量和体视学
9.2 表面积
9.3 ASTM颗粒尺寸
9.4 多种类型的表面
9.5 长度
9.6 厚度
9.7 采样策略
9.8 确定数量
9.9 曲率、连通性和Disector
9.10 各向异性和梯度
9.11 颗粒尺寸
9.12 经典体视学(展开)

第10章 特定特征的测量
10.1 亮度测量
10.2 确定位置
10.3 方向
10.4 相邻关系
10.5 对齐
10.6 计数
10.7 特殊的计数过程
10.8 特征尺寸
10.9 圆和椭圆
10.10 卡尺维度
10.11 周长

第11章 形状表征
11.1 描述形状
11.2 无量纲比
11.3 分形维数
11.4 谐波分析
11.5 拓扑学
11.6 三维

第12章 特征识别与分类
12.1 模板匹配和互相关
12.2 参数描述
12.3 决策点
12.4 多维分类
12.5 学习系统
12.6 kNN和聚类分析
12.7 专家系统
12.8 神经网络
12.9 语法模型

第13章 层析成像
13.1 多维情形
13.2 体积成像与截面
13.3 重建的基础
13.4 代数重建方法
13.5 最大熵
13.6 重建图像中的缺陷
13.7 射束硬化
13.8 成像几何
13.9 三维断层成像
13.10 高分辨率断层成像

第14章 三维视图
14.1 三维数据源
14.2 连续切片
14.3 光学切片
14.4 连续移除
14.5 立体测量
14.6 三维数据集
14.7 对数据集切片
14.8 任意剖面
14.9 色彩的运用
14.10 立体显示
14.11 立体观看
14.12 专用显示硬件
14.13 射线追踪
14.14 反射
14.15 表面
14.16 多连通表面
14.17 三维空间中的图像处理
14.18 三维图像测量

第15章 表面成像
15.1 生成表面
15.2 物理接触表面成像
15.3 非接触测量
15.4 表面的显微镜检查
15.5 表面成分成像
15.6 距离图像处理
15.7 成分图处理
15.8 数据呈现与可视化
15.9 渲染和可视化
15.10 表面数据分析
15.11 剖面测量
15.12 伯明翰测量套件
15.13 地形分析和分形维数
参考文献

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