数字图像处理(英文影印版)
点击看大图基本信息
- 原书名： Digital Image Processing
- 原出版社： Prentice Hall
编辑推荐
数字图像处理技术在近二十多年来获得了迅猛发展。本书系统而全面地介绍了数字图像处理这一新兴学科。全书既注重了基本概念及理念的阐述，也注意该技术在各个领域内的实际应用与问题解决，力求做到理论与实践相结合。本书采用了理论基础、实例说明、数学分析、专业应用相结合的方法，使读者可以循序渐进地深入数字图像处理的世界。
本书的显著特点：
内容由浅入深，分为三大部分：基本概念，深入的课题，专门的应用
每章最后给出了大量精选习题，有助于读者巩固并掌握各章所介绍的知识
采用图解方式，有助于读者直观地理解所述内容
附录包含了大量数字图像处理的专业词汇、分门别类的参考文献和相关的数学基础
内容简介回到顶部↑
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作译者回到顶部↑
本书提供作译者介绍
Kenneth R．Castleman于1967年和1970年在Texas大学Austin分校获电子工程硕士和生物医学工程博士学位，早年曾在CalTech任教和从事研究工作，讲授“数字图像处理”课程。其后的几十年里，曾在USC、UCLA、NASA/JPL等著名学校或重要机构任职，1991年至今任Perceptive Scientific Instruments（PSI）公司主管兄＆D的副总裁，从事医学图像研究和应用产品开发。
.. << 查看详细
.. << 查看详细
目录回到顶部↑
part one
1 images and digital processing
1.1 introduction
1.2 the elements of digital image processing
1.3 philosophical considerations
1.4 digital image processing in practice
problems
references
2 digitizing images
2.1 introduction
2.2 characteristics of an image digitizer
2.3 types of image digitizers
2.4 image-digitizing components
2.5 electronic image tube cameras
2.6 solid-state cameras
2.7 film scanning
2.8 summary of important points
problems
projects
references
1 images and digital processing
1.1 introduction
1.2 the elements of digital image processing
1.3 philosophical considerations
1.4 digital image processing in practice
problems
references
2 digitizing images
2.1 introduction
2.2 characteristics of an image digitizer
2.3 types of image digitizers
2.4 image-digitizing components
2.5 electronic image tube cameras
2.6 solid-state cameras
2.7 film scanning
2.8 summary of important points
problems
projects
references
前言回到顶部↑
In the 16 years since the publication of my first book on this topic, there has been a major expansion in the utilization of digital image processing. Algorithms that could run only on mainframe computers in the 1960s and minicomputers in the 1970s migrated to the desktop in the 1980s. Personal computers transformed from something a few dedicated hobbyists built in the mid-1970s into a common home office component. The jargon of personal computers became a universal language that bridged the oceans between the United States, Europe, and Asia. .
Public awareness of digital image processing has been greatly increased by video games, digital video special effects used in the entertainment industry, and articles in the popular press. Present trends indicate a continuation of the explosive growth of digital image-processing applications well into the next century.
Perhaps the most significant impact of digital image processing in the 1990s will be in the area of applications to real-world problems. This book is aimed at the reader who intends to use the technology for research or commercial purposes. It also provides a foundation for those who seek to advance the state of the art.
While the scope and scale of digital image-processing applications have changed dramatically, other aspects of the field have not. For example, many of the basic techniques that perform reliably in practice today are those that were first applied in the early days of digital imaging. While several exciting new theoretical areas have opened up, generally they build upon, rather than replace, what has served well in the past.
With the recent advances in computer technology, some of the issues treated in the earlier work are no longer of major concern. These are deemphasized in this book, while several relevant new topics have been included. New examples serve to illustrate further how the theory can be applied to the type of problems that commonly occur in industry and research.
Perhaps most significantly, a set of exercises and suggestions for projects completes each chapter. These have been selected to build the insight and understanding that are most useful to one endeavoring to apply the technology to problems of the real world. The major ity of the exercises and projects emulate actual situations a professional faces working in the field of digital image processing. They are intended to give the reader a head start in gaining the insight that supplements a theoretical knowledge and can come only from the experi ence of solving real problems. In my own estimation, one who not only knows how to solve the problems and carry out the projects, but has actually done most of them, will be ready to take his or her place on the most productive image-processing applications team.
For about 25 years, I have had the opportunity to observe the efforts of many individuals applying digital image-processing techniques to problems offered by the real world. A few of these individuals have established an enduring track record of solid success on almost every attempt. They have consistently contributed innovative and effective solutions that creatively employ the tools of the discipline. ..
These highly productive individuals demonstrably hold several characteristics in common. One can venture to assume that these characteristics constitute a formula for success, to whatever extent such a thing can exist in this field.
Uniformly, these successful persons have (1) a genuine interest in-even a fascination with-the technology involved, (2) a thorough understanding of the fundamentals of this highly multidisciplinary technology, (3) a conceptual type of understanding (as opposed to rote memorization of totally abstract theory), and (4) a knack for seeing problems visually, graphically, and from more than one viewpoint. In line with this last point, they often find themselves hard pressed to explain their ideas without the aid of a graph or drawing.
This book is designed to help the reader develop the last three of these traits and perhaps enhance the first as well. The selection of materials for inclusion (and, equally important, for omission), the examples used, the references cited, and the exercises and suggestions for projects are all directed toward this goal.
In the field of digital image processing, mathematical analysis forms the stable basis upon which one can make definite predictions regarding the performance of a digital imaging system. In this treatment, however, mathematics is employed more as a faithful servant than as a ruthless master. The emphasis is on developing a conceptual understanding, and the analysis is used to support this goal.
The organization of this book generally follows that of the earlier text, simply because that particular flow of development proved to serve its purpose well. The level of mathematical complexity increases gradually through the first two parts of the book. While many readers have the background in mathematics required to begin the discussion with sampling theory and the Fourier transform, others do not.
More importantly, though, many of the most important concepts can be presented without the aid of advanced mathmatics. Thus, we are able to avoid an additional element of complexity in the interest of making the learning process less burdensome and more appealing to all readers. As a general rule, topics receive attention in relation to their importance, rather than their complexity.
The field of digital image processing has now become so rich with technology that it is impossible to cover all aspects of it in a single volume of reasonable size. Hence, we concentrate upon those techniques that prove most useful in practice and leave most of the mathematical proofs to the references. Constraints of paper and ink further make it impossible to include nearly as many examples of images as would be desirable. (See [ 1 ] for an excellent source of these.)
Part 1 presents several important concepts that do not require detailed mathematical analysis for a basic understanding of them. Part 2 addresses techniques that rely more heavily upon their mathematical underpinning and elaborates analytically upon certain concepts introduced in Part 1. Part 3 addresses applications more specifically than they are addressed in earlier chapters. A Note to Instructors. The development of this text has been accompanied by an accumulation of example digital images and problem solutions worked out in MathCADTM [2] and WiTTM [3]. These are available from the World Wide Web site that supports this book (http://www.phoenix.net/-castlman/). The author can be reached via the publisher, through Compuserve (70214,1275), on the Internet (castleman @persci.com or castlman @phoenix.net) or Usenet (scl.image.processing). A Note to Students. Digital imaging is a merger of several disciplines, and its nomenclature comes from many diverse fields. Often ordinary words are pressed into special new usage without warning. This can be quite confusing when it catches the reader unaware..~ Many of these specialized words are defined in Appendix 1. If the concept presented in a paragraph is not clear, check for a word that doesn't seem to fit. If there is one, look in the glossary or a dictionary for clarification. Frequent reference to the glossary and a dictionary is good insurance against difficulties in understanding the subject.
Image processing is best learned by a combination of study and application. One develops considerable insight by using the theory, working with actual imaging problems and image processing equipment. A balance between theory and practice keeps the subject interesting. Problems and projects are included at the end of each chapter for this purpose. ...
Public awareness of digital image processing has been greatly increased by video games, digital video special effects used in the entertainment industry, and articles in the popular press. Present trends indicate a continuation of the explosive growth of digital image-processing applications well into the next century.
Perhaps the most significant impact of digital image processing in the 1990s will be in the area of applications to real-world problems. This book is aimed at the reader who intends to use the technology for research or commercial purposes. It also provides a foundation for those who seek to advance the state of the art.
While the scope and scale of digital image-processing applications have changed dramatically, other aspects of the field have not. For example, many of the basic techniques that perform reliably in practice today are those that were first applied in the early days of digital imaging. While several exciting new theoretical areas have opened up, generally they build upon, rather than replace, what has served well in the past.
With the recent advances in computer technology, some of the issues treated in the earlier work are no longer of major concern. These are deemphasized in this book, while several relevant new topics have been included. New examples serve to illustrate further how the theory can be applied to the type of problems that commonly occur in industry and research.
Perhaps most significantly, a set of exercises and suggestions for projects completes each chapter. These have been selected to build the insight and understanding that are most useful to one endeavoring to apply the technology to problems of the real world. The major ity of the exercises and projects emulate actual situations a professional faces working in the field of digital image processing. They are intended to give the reader a head start in gaining the insight that supplements a theoretical knowledge and can come only from the experi ence of solving real problems. In my own estimation, one who not only knows how to solve the problems and carry out the projects, but has actually done most of them, will be ready to take his or her place on the most productive image-processing applications team.
For about 25 years, I have had the opportunity to observe the efforts of many individuals applying digital image-processing techniques to problems offered by the real world. A few of these individuals have established an enduring track record of solid success on almost every attempt. They have consistently contributed innovative and effective solutions that creatively employ the tools of the discipline. ..
These highly productive individuals demonstrably hold several characteristics in common. One can venture to assume that these characteristics constitute a formula for success, to whatever extent such a thing can exist in this field.
Uniformly, these successful persons have (1) a genuine interest in-even a fascination with-the technology involved, (2) a thorough understanding of the fundamentals of this highly multidisciplinary technology, (3) a conceptual type of understanding (as opposed to rote memorization of totally abstract theory), and (4) a knack for seeing problems visually, graphically, and from more than one viewpoint. In line with this last point, they often find themselves hard pressed to explain their ideas without the aid of a graph or drawing.
This book is designed to help the reader develop the last three of these traits and perhaps enhance the first as well. The selection of materials for inclusion (and, equally important, for omission), the examples used, the references cited, and the exercises and suggestions for projects are all directed toward this goal.
In the field of digital image processing, mathematical analysis forms the stable basis upon which one can make definite predictions regarding the performance of a digital imaging system. In this treatment, however, mathematics is employed more as a faithful servant than as a ruthless master. The emphasis is on developing a conceptual understanding, and the analysis is used to support this goal.
The organization of this book generally follows that of the earlier text, simply because that particular flow of development proved to serve its purpose well. The level of mathematical complexity increases gradually through the first two parts of the book. While many readers have the background in mathematics required to begin the discussion with sampling theory and the Fourier transform, others do not.
More importantly, though, many of the most important concepts can be presented without the aid of advanced mathmatics. Thus, we are able to avoid an additional element of complexity in the interest of making the learning process less burdensome and more appealing to all readers. As a general rule, topics receive attention in relation to their importance, rather than their complexity.
The field of digital image processing has now become so rich with technology that it is impossible to cover all aspects of it in a single volume of reasonable size. Hence, we concentrate upon those techniques that prove most useful in practice and leave most of the mathematical proofs to the references. Constraints of paper and ink further make it impossible to include nearly as many examples of images as would be desirable. (See [ 1 ] for an excellent source of these.)
Part 1 presents several important concepts that do not require detailed mathematical analysis for a basic understanding of them. Part 2 addresses techniques that rely more heavily upon their mathematical underpinning and elaborates analytically upon certain concepts introduced in Part 1. Part 3 addresses applications more specifically than they are addressed in earlier chapters. A Note to Instructors. The development of this text has been accompanied by an accumulation of example digital images and problem solutions worked out in MathCADTM [2] and WiTTM [3]. These are available from the World Wide Web site that supports this book (http://www.phoenix.net/-castlman/). The author can be reached via the publisher, through Compuserve (70214,1275), on the Internet (castleman @persci.com or castlman @phoenix.net) or Usenet (scl.image.processing). A Note to Students. Digital imaging is a merger of several disciplines, and its nomenclature comes from many diverse fields. Often ordinary words are pressed into special new usage without warning. This can be quite confusing when it catches the reader unaware..~ Many of these specialized words are defined in Appendix 1. If the concept presented in a paragraph is not clear, check for a word that doesn't seem to fit. If there is one, look in the glossary or a dictionary for clarification. Frequent reference to the glossary and a dictionary is good insurance against difficulties in understanding the subject.
Image processing is best learned by a combination of study and application. One develops considerable insight by using the theory, working with actual imaging problems and image processing equipment. A balance between theory and practice keeps the subject interesting. Problems and projects are included at the end of each chapter for this purpose. ...
序言回到顶部↑
2001年7月间，电子工业出版社的领导同志邀请各高校十几位通信领域方面的老师，商量引进国外教材问题。与会同志对出版社提出的计划十分赞同，大家认为，这对我国通信事业、特别是对高等院校通信学科的教学工作会很有好处。.
教材建设是高校教学建设的主要内容之一。编写、出版一本好的教材，意味着开设了一门好的课程，甚至可能预示着一个崭新学科的诞生。20世纪40年代MIT林肯实验室出版的一套28本雷达丛书，对近代电子学科、特别是对雷达技术的推动作用，就是一个很好的例子。
我国领导部门对教材建设一直非常重视。20世纪80年代，在原教委教材编审委员会的领导下，汇集了高等院校几百位富有教学经验的专家，编写、出版了一大批教材；很多院校还根据学校的特点和需要，陆续编写了大量的讲义和参考书。这些教材对高校的教学工：作发挥了极好的作用。近年来，随着教学改革不断深入和科学技术的飞速进步，有的教材内容已比较陈旧、落后，难以适应教学的要求，特别是在电子学和通信技术发展神速、可以讲是日新月异的今天，如何适应这种情况，更是一个必须认真考虑的问题。解决这个问题，除了依靠高校的老师和专家撰写新的符合要求的教科书外，引进和出版一些国外优秀电子与通信教材，尤其是有选择地引进一批英文原版教材，是会有好处的。
一年多来，电子工业出版社为此做了很多工作。他们成立了一个“国外电子与通信教材系列”项目组，选派了富有经验的业务骨干负责有关工作，收集了230余种通信教材和参考书的详细资料，调来了100余种原版教材样书，依靠由20余位专家组成的出版委员会，从中精选了40多种，内容丰富，覆盖了电路理论与应用、信号与系统、数字信号处理、微电子、通信系统、电磁场与微波等方面，既可作为通信专业本科生和研究生的教学用书，也可作为有关专业人员的参考材料。此外，这批教材，有的翻译为中文，还有部分教材直接影印出版，以供教师用英语直接授课。希望这些教材的引进和出版对高校通信教学和教材改革能起一定作用。..
在这里，我还要感谢参加工作的各位教授、专家、老师与参加翻译、编辑和出版的同志们。各位专家认真负责、严谨细致、不辞辛劳、不怕琐碎和精益求精的态度，充分体现了中国教育工作者和出版工作者的良好美德。
随着我国经济建设的发展和科学技术的不断进步，对高校教学工作会不断提出新的要求和希望。我想，无论如何，要做好引进国外教材的工作，一定要联系我国的实际。教材和学术专著不同，既要注意科学性、学术性，也要重视可读性，要深入浅出，便于读者自学；引进的教材要适应高校教学改革的需要，针对目前一些教材内容较为陈旧的问题，有目的地引进一些先进的和正在发展中的交叉学科的参考书；要与国内出版的教材相配套，安排好出版英文原版教材和翻译教材的比例。我们努力使这套教材能尽量满足上述要求，希望它们能放在学生们的课桌上，发挥一定的作用。
最后，预祝“国外电子与通信教材系列”项目取得成功，为我国电子与通信教学和通信产业的发展培土施肥。也恳切希望读者能对这些书籍的不足之处、特别是翻译中存在的问题，提出意见和建议，以便再版时更正。...
中国工程院院士、清华大学教授
“国外电子与通信教材系列”出版委员会主任
教材建设是高校教学建设的主要内容之一。编写、出版一本好的教材，意味着开设了一门好的课程，甚至可能预示着一个崭新学科的诞生。20世纪40年代MIT林肯实验室出版的一套28本雷达丛书，对近代电子学科、特别是对雷达技术的推动作用，就是一个很好的例子。
我国领导部门对教材建设一直非常重视。20世纪80年代，在原教委教材编审委员会的领导下，汇集了高等院校几百位富有教学经验的专家，编写、出版了一大批教材；很多院校还根据学校的特点和需要，陆续编写了大量的讲义和参考书。这些教材对高校的教学工：作发挥了极好的作用。近年来，随着教学改革不断深入和科学技术的飞速进步，有的教材内容已比较陈旧、落后，难以适应教学的要求，特别是在电子学和通信技术发展神速、可以讲是日新月异的今天，如何适应这种情况，更是一个必须认真考虑的问题。解决这个问题，除了依靠高校的老师和专家撰写新的符合要求的教科书外，引进和出版一些国外优秀电子与通信教材，尤其是有选择地引进一批英文原版教材，是会有好处的。
一年多来，电子工业出版社为此做了很多工作。他们成立了一个“国外电子与通信教材系列”项目组，选派了富有经验的业务骨干负责有关工作，收集了230余种通信教材和参考书的详细资料，调来了100余种原版教材样书，依靠由20余位专家组成的出版委员会，从中精选了40多种，内容丰富，覆盖了电路理论与应用、信号与系统、数字信号处理、微电子、通信系统、电磁场与微波等方面，既可作为通信专业本科生和研究生的教学用书，也可作为有关专业人员的参考材料。此外，这批教材，有的翻译为中文，还有部分教材直接影印出版，以供教师用英语直接授课。希望这些教材的引进和出版对高校通信教学和教材改革能起一定作用。..
在这里，我还要感谢参加工作的各位教授、专家、老师与参加翻译、编辑和出版的同志们。各位专家认真负责、严谨细致、不辞辛劳、不怕琐碎和精益求精的态度，充分体现了中国教育工作者和出版工作者的良好美德。
随着我国经济建设的发展和科学技术的不断进步，对高校教学工作会不断提出新的要求和希望。我想，无论如何，要做好引进国外教材的工作，一定要联系我国的实际。教材和学术专著不同，既要注意科学性、学术性，也要重视可读性，要深入浅出，便于读者自学；引进的教材要适应高校教学改革的需要，针对目前一些教材内容较为陈旧的问题，有目的地引进一些先进的和正在发展中的交叉学科的参考书；要与国内出版的教材相配套，安排好出版英文原版教材和翻译教材的比例。我们努力使这套教材能尽量满足上述要求，希望它们能放在学生们的课桌上，发挥一定的作用。
最后，预祝“国外电子与通信教材系列”项目取得成功，为我国电子与通信教学和通信产业的发展培土施肥。也恳切希望读者能对这些书籍的不足之处、特别是翻译中存在的问题，提出意见和建议，以便再版时更正。...
中国工程院院士、清华大学教授
“国外电子与通信教材系列”出版委员会主任
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