Computer Imaging: Digital Image Analysis and Processing
暫譯: 計算機影像:數位影像分析與處理

Scott E Umbaugh

  • 出版商: CRC
  • 出版日期: 2005-01-27
  • 售價: $1,750
  • 貴賓價: 9.8$1,715
  • 語言: 英文
  • 頁數: 688
  • 裝訂: Hardcover
  • ISBN: 0849329191
  • ISBN-13: 9780849329197
  • 已絕版

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商品描述

Description 

  • Combines image analysis and image processing into the unified framework that is necessary for understanding computer vision and image processing applications
  • Integrates theoretical material with an engineering approach
  • Introduces an image analysis model that serves as a foundation for the imaging tools discussed
  • Includes a CD-ROM containing a complete CVIPtools environment, book figures in linked html format, and Word documents of all original figures
  • Provides tutorial and programming exercises in each chapter using CVIPtools, enabling hands-on experience and insight into algorithms and parameters
  • Offers imaging examples and links to other imaging sites via an accompanying web site

    Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development.

    Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter.

    The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.
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    Table of Contents

    INTRODUCTION TO COMPUTER IMAGING
    Computer Imaging
    Overview
    Image Analysis and Computer Vision
    Image Processing
    Key Points
    References and Further Reading
    Exercises

    Computer Imaging Systems
    Imaging Systems Overview
    Image Formation and Sensing
    The CVIPtools Software
    Image Representation
    Key Points
    References and Further Reading
    Exercises

    DIGITAL IMAGE ANALYSIS
    Introduction to Digital Image Analysis
    Introduction
    Preprocessing
    Binary Image Analysis
    Key Points
    References and Further Reading
    Exercises

    Segmentation and Edge/Line Detection
    Introduction and Overview
    Edge/Line Detection
    Segmentation
    Key Points
    References and Further Reading
    Exercises

    Discrete Transforms
    Introduction and Overview
    Fourier Transform
    Cosine Transform
    Walsh-Hadamard Transform
    Haar Transform
    Principal Components Transform
    Filtering
    Wavelet Transform
    Key Points
    References and Further Reading
    Exercises

    Feature Analysis and Pattern Classification
    Introduction and Overview
    Feature Extraction
    Feature Analysis
    Pattern Classification
    Key Points
    References and Further Reading
    Exercises

    DIGITAL IMAGE PROCESSING
    Digital Image Processing and Visual Perception
    Introduction and Overview
    Human Visual Perception
    Image Fidelity Criteria
    Key Points
    References and Further Reading
    Exercises

    Image Enhancement
    Introduction and Overview
    Gray-Scale Modification
    Image Sharpening
    Image Smoothing
    Key Points
    References and Further Reading
    Exercises

    Image Restoration
    Introduction and Overview
    Noise Models
    Noise Removal Using Spatial Filters
    The Degradation Function
    Frequency Domain Filters
    Geometric Transforms
    Key Points
    References and Further Reading
    Exercises

    Image Compression
    Introduction and Overview
    Lossless Compression Methods
    Lossy Compression Methods
    Key Points
    References and Further Reading
    Exercises

    PROGRAMMING WITH CVIPTOOLS
    CVIPlab
    Introduction to CVIPlab
    Toolkits, Toolbox and Application Libraries
    Compiling and Linking CVIPlab
    Image Data and File Structures
    CVIP Projects

    CVIPtools C Function Libraries
    Introduction and Overview
    Arithmetic and Logic Library
    Band Image Library
    Color Image Library
    Compression Library
    Conversion Library
    Display Library
    Feature Extraction Library
    Geometry Library
    Histogram Library
    Image Library
    Data Mapping Library
    Morphological Library
    Noise Library
    Segmentation Library
    Spatial Filter Library
    Transform Library
    Transform Filter Library

    APPENDICES
    CD-ROM/Software
    Configuring and Updating CVIPtools
    CVIPtools C functions
    CVIP Resources

    CVIPtools Software Organization
    COM functions - cviptools.dll

    商品描述(中文翻譯)

    描述
    - 將影像分析和影像處理結合成理解計算機視覺和影像處理應用所需的統一框架
    - 將理論材料與工程方法整合
    - 介紹一個影像分析模型,作為討論的影像工具的基礎
    - 包含一個CD-ROM,內含完整的CVIPtools環境、以鏈接HTML格式的書中圖形,以及所有原始圖形的Word文件
    - 在每一章中提供使用CVIPtools的教程和程式設計練習,使讀者能夠獲得實作經驗並深入了解演算法和參數
    - 提供影像範例及通往其他影像網站的連結,透過附帶的網站

    《計算機影像:數位影像分析與處理》將分析和處理結合在一個統一的框架中,為理解計算機視覺和影像處理應用提供了寶貴的基礎。採用工程方法,文本將理論與概念和應用導向的風格整合,使您能立即理解每個主題如何融入實際應用開發的整體結構。

    本書分為五個主要部分,首先介紹理解計算機影像所需的概念和定義。第二部分描述影像分析,並提供分析數位影像和開發計算機視覺應用所需的工具、概念和模型。第三部分討論影像處理的應用領域,強調人類視覺感知。第四部分提供應用CVIPtools環境進行演算法開發所需的信息。文本最後附有附錄,提供補充的影像信息並協助每章中的程式設計練習。

    作者根據理解每個實用影像模型所需的主題進行呈現,這激勵讀者掌握這些主題,並使本書作為參考資料也變得有用。整本書中整合的CVIPtools軟體,現在有新的Windows版本,提供實用範例並鼓勵您透過每章提供的教程和程式設計練習進行進一步探索。

    目錄
    - 計算機影像導論
    - 計算機影像
    - 概述
    - 影像分析與計算機視覺
    - 影像處理
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 計算機影像系統
    - 影像系統概述
    - 影像形成與感測
    - CVIPtools軟體
    - 影像表示
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 數位影像分析
    - 數位影像分析導論
    - 導論
    - 預處理
    - 二進位影像分析
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 分割與邊緣/線檢測
    - 導論與概述
    - 邊緣/線檢測
    - 分割
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 離散變換
    - 導論與概述
    - 傅立葉變換
    - 餘弦變換
    - Walsh-Hadamard變換
    - Haar變換
    - 主成分變換
    - 濾波
    - 小波變換
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 特徵分析與模式分類
    - 導論與概述
    - 特徵提取
    - 特徵分析
    - 模式分類
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 數位影像處理
    - 數位影像處理與視覺感知
    - 導論與概述
    - 人類視覺感知
    - 影像保真標準
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 影像增強
    - 導論與概述
    - 灰階修改
    - 影像銳化
    - 影像平滑
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 影像恢復
    - 導論與概述
    - 噪聲模型
    - 使用空間濾波器去除噪聲
    - 降解函數
    - 頻域濾波器
    - 幾何變換
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 影像壓縮
    - 導論與概述
    - 無損壓縮方法
    - 有損壓縮方法
    - 主要要點
    - 參考文獻與進一步閱讀
    - 練習

    - 使用CVIPTOOLS進行程式設計
    - CVIPlab
    - CVIPlab導論
    - 工具包、工具箱和應用程式庫
    - 編譯和連結CVIPlab
    - 影像數據和文件結構
    - CVIP專案

    - CVIPtools C函數庫
    - 導論與概述
    - 算術和邏輯庫
    - 帶狀影像庫
    - 彩色影像庫
    - 壓縮庫
    - 轉換庫
    - 顯示庫
    - 特徵提取庫
    - 幾何庫
    - 直方圖庫
    - 影像庫
    - 數據映射庫
    - 形態學庫
    - 噪聲庫
    - 分割庫
    - 空間濾波器庫
    - 變換庫
    - 變換濾波器庫

    - 附錄
    - CD-ROM/軟體
    - 配置和更新CVIPtools
    - CVIPtools C函數
    - CVIP資源

    - CVIPtools軟體組織
    - COM函數 - cviptools.dll