數(shù)字圖像處理

前言

Solutions to problems in the field of digital image processing generally requireextensive experimental work involving software simulation and testing with large setsof sample images Although algorithm development typically is based on theoreticalunderpinnings, the actual implementation of these algorithms almost always requiresparameter estimation and, frequently, algorithm revision and comparison of candidatesolutions. Thus, selection of a flexible, comprehensive, and well-documented softwaredevelopment environment is a key factor that has important implications in the cost,development time, and portability of image processing solutions In spite of its importance, surprisingly little has been written on this aspect of thefield in the form of textbook material dealing with both theoretical principles and soft-ware implementation of digital image processing concepts. This book was written forjust this purpose. Its main objective is to provide a foundation for implementing imageprocessing algorithms using modem software tools.A complementary objective was toprepare a book that is self-contained and easily readable by individuals with a basicbackground in digital image processing, mathematical analysis, and computer pro-gramming, all at a level typical of that found in a junior/senior curriculum in a techni-cal discipline. Rudimentary knowledge of MATLAB also is desirable. To achieve these objectives, we felt that two key ingredients were needed. Thefirst was to select image processing material that is representative of material cov-ered in a formal course of instruction in this field. The second was to select soft-ware tools that are well supported and documented, and which have a wide rangeof applications in the "real" world. To meet the first objective, most of the theoretical concepts in the following chapterswere selected from Digital Image Processing by Gonzalez and Woods, which has beenthe choice introductory textbook used by educators all over the world for over twodecadesThe software tools selected are from the MATLAB Image ProcessingToolbox（IPT）, which similarly occupies a position of eminence in both education and industrialapplications A basic strategy followed in the preparation of the book was to provide aseamless integration of well-established theoretical concepts and their implementationusing state-of-the-art software tools The book is organized along the same lines as Digital Image Processing. In this way,the reader has easy access to a more detailed treatment of all the image processingconcepts discussed here, as well as an up-to-date set of references for further reading.Following this approach made it possible to present theoretical material in a succinctmanner and thus we were able to maintain a focus on the software implementation as-pects of image processing problem solutions Because it works in the MATLAB com-puting environment, the Image Processing Toolbox offers some significant advantages,not only in the breadth of its computational tools, but also because it is supportedunder most operating systems in use today.

內(nèi)容概要

本書(shū)是圖像處理理論與以MATLAB為主要工具的軟件實(shí)踐方法相結(jié)合的第一本書(shū)。特色在于重點(diǎn)強(qiáng)調(diào)如何通過(guò)開(kāi)發(fā)新代碼來(lái)加強(qiáng)軟件工具。介紹MATLAB編程基礎(chǔ)知識(shí)之后，講述了圖像處理的主干內(nèi)容，包括灰度變換、線性和非線性空間濾波、頻率域?yàn)V波、圖像恢復(fù)與配準(zhǔn)、彩色圖像處理、小波、圖像數(shù)據(jù)壓縮、形態(tài)學(xué)圖像處理、圖像分割、區(qū)域和邊界表示與描述，以及目標(biāo)識(shí)別。    本書(shū)可供從事信號(hào)與信息處理、汁算機(jī)科學(xué)與技術(shù)、通信工程、地球物理等專(zhuān)業(yè)的大專(zhuān)院校師生學(xué)習(xí)參考。

作者簡(jiǎn)介

作者：(美國(guó))岡薩雷斯(Rafael C.Gonzalez) (美國(guó))Richard E.Woods (美國(guó))Steven L.Eddins

書(shū)籍目錄

1 Introduction　Preview 　1.1 Background 　1.2 What Is Digital Image Processing? 　1.3 Background on MATLAB and the Image Processing Toolbox 　1.4 Areas of Image Processing Covered in the Book 　1.5 The Book Web Site 　1.6 Notation 　1.7 The MATLAB Working Environment 　1.8 How References Are Organized in the Book 　Summary 2 Fundamentals 　Preview 　2.1 Digital Image Representation 　2.2 Reading Images 　2.3 Displaying Images 　2.4 Writing Images 　2.5 Data Classes 　2.6 Image Types  2.7 Converting between Data Classes and Image Types  2.8 Array Indexing  2.9 Some Important Standard Arrays  2.10 Introduction to M-Function Programming  Summary3 Intensity Transformations and Spatial Filtering4 Frequency Domain Processing5 Image Restoration6 Color Image Processing7 Wavelets8 Image Compression9 Morphological Image Processing10 Image Segmentation11 Representation and Dexcription12 Object RecognitionAppendix A Function SummaryAppendix B ICE and MATLAB Graphical User InterfacesAppendix C M-FunctionsBibliographyIndex

章節(jié)摘錄

插圖：Another way to obtain help for a specific function is by typing doe followedby the function name at the command prompt. For example, typing doe f o r matdisplays documentation for the function called format in the display pane ofthe Help Browser. This command opens the browser if it is not already open.   M-functions have two types of information that can be displayed by theuser. The first is called the H1 line, which contains the function name and aone-line description. The second is a block of explanation called the Help textblock （these are discussed in detail in Section 2.10.1）. Typing help at theprompt followed by a function name displays both the H1 line and the Helptext for that function in the Command Window. Occasionally, this informationcan be more up to date than the information in the Help browser because it isextracted directly from the documentation of the M-function in question. Typ-ing lookfor followed by a keyword displays all the H1 lines that contain thatkeyword. This function is useful when looking for a particular topic withoutknowing the names of applicable functions. For example, typing look for edgeat the prompt displays all the H1 lines containing that keyword. Because theH1 line contains the function name, it then becomes possible to look at specif-ic functions using the other help methods. Typing lookfor edge -all at theprompt displays the H1 line of all functions that contain the word edge in ei-ther the H1 line or the Help text block.Words that contain the characters edgealso are detected. For example, the H1 line of a function containing the wordpolyedge in the H1 line or Help text would also be displayed.

編輯推薦

《數(shù)字圖像處理(MATLAB版)(英文版)》由電子工業(yè)出版社出版。

圖書(shū)封面

圖書(shū)標(biāo)簽Tags

無(wú)

評(píng)論、評(píng)分、閱讀與下載

---

    數(shù)字圖像處理 PDF格式下載

---