The 37th Annual Denver Conference on Applications of X-Ray Analysis was held August 1-5, 1988, at the Sheraton Steamboat Resort and Conference Center, Steamboat Springs, Colorado. As usual, alternating with x-ray diffraction, the emphasis this year was x-ray fluorescence, but as has been the pattern for several occasions over the last few years, the Plenary Session did not deal with that subject, specifically. In an attempt to introduce the audience to one of the new developments in x-ray analysis, the title of the session was "High Brilliance Sources/Applications," and dealt exclusively with synchrotron radiation, a topic which has made a very large impact on the x-ray community over the last decade. As the organizer and co-chairman of the Plenary Session (with Paul Predecki), it is my responsibility to report on that session here. The Conference had the privilege of obtaining the services of some of the preeminent practitioners of research using this remarkable x-ray source; they presented the audience with unusually lucid descriptions of the work which has been accomplished in the development and application of the continuous, high intensity, tunable, polarized and collimated x-rays available from no facility other than these specialized storage rings. The opening lecture (and I use that term intentionally) was an enthusiastic description of "What is Synchrotron Radiation?" by Professor Boris Batterman of Cornell University and the Cornell High Energy Synchrotron Sourc(! (CHESS).

vi on geometric probability is included, students can be expected to create a few simple programs like those shown, but for other geometries. I am indebted to Tom Hare for critical reviews of the material and an endless enthusiasm to debate and derive stereological relationships; to John Matzka at Plenum Press for patiently instructing me in the intricacies of typesetting; to Chris Russ for helping to program many of these measurement techniques; and especially to Helen Adams, both for her patience with my creative fever to write yet another book, and for pointing out that the title, which I had intended to contrast to "theoretical stereology," can also be understood as the antonym of "impractical stereology." John C. Russ Raleigh, NC July, 1986 Chapter 1: Statistics 1 Accuracy and precision 1 The mean and standard deviation 5 Distributions 7 Comparison 13 Correlation 18 Nonlinear fitting 19 Chapter 2: Image Types 23 Planar sections 23 Projected images 25 Finite sections 28 Space-filling structures and dispersed phases 29 Types of images and contrast mechanisms 31 Sampling 32 Chapter 3: Manual Methods 35 Volume fraction 35 Surface density 38 Contiguity 41 Mean intercept length 42 Line density 43 Grain size determination 55 Curvature 48 Reticles to aid counting 49 Magnification and units 51 Chapter4: Size Distributions 53 Intercept length in spheres 53 Nonspherical shapes 57 Corrections for finite section thickness 59 Lamellae 61 Measurement of profile size 62 Nonspherical particles 69 vii Contents viii Chapter 5: Computer Metlwds 73

The 37th Annual Denver Conference on Applications of X-Ray Analysis was held August 1-5, 1988, at the Sheraton Steamboat Resort and Conference Center, Steamboat Springs, Colorado. As usual, alternating with x-ray diffraction, the emphasis this year was x-ray fluorescence, but as has been the pattern for several occasions over the last few years, the Plenary Session did not deal with that subject, specifically. In an attempt to introduce the audience to one of the new developments in x-ray analysis, the title of the session was "High Brilliance Sources/Applications," and dealt exclusively with synchrotron radiation, a topic which has made a very large impact on the x-ray community over the last decade. As the organizer and co-chairman of the Plenary Session (with Paul Predecki), it is my responsibility to report on that session here. The Conference had the privilege of obtaining the services of some of the preeminent practitioners of research using this remarkable x-ray source; they presented the audience with unusually lucid descriptions of the work which has been accomplished in the development and application of the continuous, high intensity, tunable, polarized and collimated x-rays available from no facility other than these specialized storage rings. The opening lecture (and I use that term intentionally) was an enthusiastic description of "What is Synchrotron Radiation?" by Professor Boris Batterman of Cornell University and the Cornell High Energy Synchrotron Sourc(! (CHESS).

Image Analysis of Food Microstructure offers a condensed guide to the most common procedures and techniques by which quantitative microstructural information about food can be obtained from images. The images are selected from a broad range of food items, including macroscopic images of meat and finished products such as pizza, and the microstructures of cheeses, dough and baked goods, ice cream, fruits and vegetables, emulsions, foams, and gels. The book informs food scientists about the image processing and measurement tools used to characterize a variety of microstructures in foods, using high-quality image techniques to illustrate chemical composition, thermo-mechanical processing, and genetic and structural properties. These different types of images used to measure various aspects of structure include: macroscopic light photography, confocal light microscopy, electron microscopy, atomic force microscope images, magnetic resonance, and computed tomography. Then the text explains how to interpret images to produce data, plot the results in different graphs, and identify trends. Examples using these image analysis techniques show typical results that researchers can expect and recreate. Image Analysis of Food Microstructure summarizes the basic procedures that can be useful in various aspects of food research, from nutraceuticals to cooking and food processing. It presents the processing of images and mathematical principles needed for image analyses in a step-by-step approach to extract key information from the images obtained.

The author integrates discussions of fractal geometry, surface modeling techniques, and applications to real world problems to provide a comprehensive, accessible overview of the field. His work will equip researchers with the basic tools for measurement and interpretation of data, stimulating more work on these problems and, perhaps, leading to an understanding of the reasons that Nature has adopted this geometry to shape much of our world.

"John Russ is the master of explaining how image processing gets applied to real-world situations. With Brent Neal, he's done it again in Measuring Shape, this time explaining an expanded toolbox of techniques that includes useful, state-of-the-art methods that can be applied to the broad problem of understanding, characterizing, and measuring shape. He has a gift for finding the kernel of a particular algorithm, explaining it in simple terms, then giving concrete examples that are easily understood. His perspective comes from solving real-world problems and separating out what works in practice from what is just an abstract curiosity." -Tom Malzbender, Hewlett-Packard Laboratories, Palo Alto, California, USA Useful for those working in fields including industrial quality control, research, and security applications, Measuring Shape is a handbook for the practical application of shape measurement. Covering a wide range of shape measurements likely to be encountered in the literature and in software packages, this book presents an intentionally diverse set of examples that illustrate and enable readers to compare methods used for measurement and quantitative description of 2D and 3D shapes. It stands apart through its focus on examples and applications, which help readers quickly grasp the usefulness of presented techniques without having to approach them through the underlying mathematics. An elusive concept, shape is a principal governing factor in determining the behavior of objects and structures. Essential to recognizing and classifying objects, it is the central link in manmade and natural processes. Shape dictates everything from the stiffness of a construction beam, to the ability of a leaf to catch water, to the marketing and packaging of consumer products. This book emphasizes techniques that are quantitative and produce a meaningful yet compact set of numerical values that can be used for statistical analysis, comparison, correlation, classification, and identification. Written by two renowned authors from both industry and academia, this resource explains why users should select a particular method, rather than simply discussing how to use it. Showcasing each process in a clear, accessible, and well-organized way, they explore why a particular one might be appropriate in a given situation, yet a poor choice in another. Providing extensive examples, plus full mathematical descriptions of the various measurements involved, they detail the advantages and limitations of each method and explain the ways they can be implemented to discover important correlations between shape and object history or behavior. This uncommon assembly of information also includes sets of data on real-world objects that are used to compare the performance and utility of the various presented approaches.

"John Russ is the master of explaining how image processing gets applied to real-world situations. With Brent Neal, he s done it again in Measuring Shape, this time explaining an expanded toolbox of techniques that includes useful, state-of-the-art methods that can be applied to the broad problem of understanding, characterizing, and measuring shape. He has a gift for finding the kernel of a particular algorithm, explaining it in simple terms, then giving concrete examples that are easily understood. His perspective comes from solving real-world problems and separating out what works in practice from what is just an abstract curiosity."

Tom Malzbender, Hewlett-Packard Laboratories, Palo Alto, California, USA

Useful for those working in fields including industrial quality control, research, and security applications, Measuring Shape is a handbook for the practical application of shape measurement. Covering a wide range of shape measurements likely to be encountered in the literature and in software packages, this book presents an intentionally diverse set of examples that illustrate and enable readers to compare methods used for measurement and quantitative description of 2D and 3D shapes. It stands apart through its focus on examples and applications, which help readers quickly grasp the usefulness of presented techniques without having to approach them through the underlying mathematics.

An elusive concept, shape is a principal governing factor in determining the behavior of objects and structures. Essential to recognizing and classifying objects, it is the central link in manmade and natural processes. Shape dictates everything from the stiffness of a construction beam, to the ability of a leaf to catch water, to the marketing and packaging of consumer products. This book emphasizes techniques that are quantitative and produce a meaningful yet compact set of numerical values that can be used for statistical analysis, comparison, correlation, classification, and identification.

Written by two renowned authors from both industry and academia, this resource explains "why" users should select a particular method, rather than simply discussing how to use it. Showcasing each process in a clear, accessible, and well-organized way, they explore why a particular one might be appropriate in a given situation, yet a poor choice in another. Providing extensive examples, plus full mathematical descriptions of the various measurements involved, they detail the advantages and limitations of each method and explain the ways they can be implemented to discover important correlations between shape and object history or behavior. This uncommon assembly of information also includes sets of data on real-world objects that are used to compare the performance and utility of the various presented approaches.

The ability to work with, and retrieve images, is vital to forensic and criminal case work. During a five-decade-long career, author John C. Russ has taught methods for image processing and measurement to thousands of students. Forensic Uses of Digital Imaging, Second Edition distills his classroom and workshop material to present the information most relevant to forensic science. Since the publication of the first edition, there have been many significant changes in technology that have revolutionized the ways digital images are used in forensic investigations. Fully updated, the second edition: Covers the widespread advancements of digital imaging photography and processing Discusses the increased power, storage capacity, and use of digital cameras, laptop computers, tablets, and cell phones in forensic science Gives real-world examples to illustrate comparisons between different processing options Includes hundreds of full-color images that demonstrate technologies and techniques Addresses issues of admissibility of forensic investigation results under Frye and Daubert rules Provides guidelines and suggestions for effectively presenting and explaining results Forensic Uses of Digital Imaging, Second Edition explains concepts with minimal jargon, and the methods and tools described in this book can be implemented in a broad spectrum of available computer programs. By demonstrating how these methods can be applied to a variety of images, this book helps readers develop the ability to understand when and how specific techniques should be used. It will be of particular use in casework for practicing photography and imaging police and forensic professionals who need to verify and explain both interpretations and processes to legal professionals, judges, and juries.

Image Analysis of Food Microstructure offers a condensed guide to the most common procedures and techniques by which quantitative microstructural information about food can be obtained from images. The images are selected from a broad range of food items, including macroscopic images of meat and finished products such as pizza, and the microstructures of cheeses, dough and baked goods, ice cream, fruits and vegetables, emulsions, foams, and gels. The book informs food scientists about the image processing and measurement tools used to characterize a variety of microstructures in foods, using high-quality image techniques to illustrate chemical composition, thermo-mechanical processing, and genetic and structural properties. These different types of images used to measure various aspects of structure include: macroscopic light photography, confocal light microscopy, electron microscopy, atomic force microscope images, magnetic resonance, and computed tomography. Then the text explains how to interpret images to produce data, plot the results in different graphs, and identify trends. Examples using these image analysis techniques show typical results that researchers can expect and recreate. Image Analysis of Food Microstructure summarizes the basic procedures that can be useful in various aspects of food research, from nutraceuticals to cooking and food processing. It presents the processing of images and mathematical principles needed for image analyses in a step-by-step approach to extract key information from the images obtained.

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.

vi on geometric probability is included, students can be expected to create a few simple programs like those shown, but for other geometries. I am indebted to Tom Hare for critical reviews of the material and an endless enthusiasm to debate and derive stereological relationships; to John Matzka at Plenum Press for patiently instructing me in the intricacies of typesetting; to Chris Russ for helping to program many of these measurement techniques; and especially to Helen Adams, both for her patience with my creative fever to write yet another book, and for pointing out that the title, which I had intended to contrast to "theoretical stereology," can also be understood as the antonym of "impractical stereology." John C. Russ Raleigh,NC July, 1986 Chapter 1: Statistics 1 Accuracy and precision 1 The mean and standard deviation 5 Distributions 7 Comparison 13 Correlation 18 Nonlinear fitting 19 Chapter 2: Image Types 23 Planar sections 23 Projected images 25 Finite sections 28 Space-filling structures and dispersed phases 29 Types of images and contrast mechanisms 31 Sampling 32 Chapter 3: Manual Methods 35 Volume fraction 35 Surface density 38 Contiguity 41 Mean intercept length 42 Line density 43 Grain size determination 55 Curvature 48 Reticles to aid counting 49 Magnification and units 51 Chapter4: Size Distributions 53 Intercept length in spheres 53 Nonspherical shapes 57 Corrections for finite section thickness 59 Lamellae 61 Measurement of profile size 62 Nonspherical particles 69 vii Contents viii Chapter 5: Computer Metlwds 73

The author integrates discussions of fractal geometry, surface modeling techniques, and applications to real world problems to provide a comprehensive, accessible overview of the field. His work will equip researchers with the basic tools for measurement and interpretation of data, stimulating more work on these problems and, perhaps, leading to an understanding of the reasons that Nature has adopted this geometry to shape much of our world.

The 37th Annual Denver Conference on Applications of X-Ray Analysis was held August 1-5, 1988, at the Sheraton Steamboat Resort and Conference Center, Steamboat Springs, Colorado. As usual, alternating with x-ray diffraction, the emphasis this year was x-ray fluorescence, but as has been the pattern for several occasions over the last few years, the Plenary Session did not deal with that subject, specifically. In an attempt to introduce the audience to one of the new developments in x-ray analysis, the title of the session was "High Brilliance Sources/Applications," and dealt exclusively with synchrotron radiation, a topic which has made a very large impact on the x-ray community over the last decade. As the organizer and co-chairman of the Plenary Session (with Paul Predecki), it is my responsibility to report on that session here. The Conference had the privilege of obtaining the services of some of the preeminent practitioners of research using this remarkable x-ray source; they presented the audience with unusually lucid descriptions of the work which has been accomplished in the development and application of the continuous, high intensity, tunable, polarized and collimated x-rays available from no facility other than these specialized storage rings. The opening lecture (and I use that term intentionally) was an enthusiastic description of "What is Synchrotron Radiation?" by Professor Boris Batterman of Cornell University and the Cornell High Energy Synchrotron Sourc(! (CHESS).

Stereology is the science that relates three-dimensional structure to the two-dimensional images that can be measured. The most common field of application is in microscopy, both of man-made materials (metals, ceramics, composites, etc.) and of biological tissue samples. This book covers the applications and terminology of both fields. Recent emphasis in stereology is concerned with sampling strategies to avoid bias due to directionality and non-uniformity, and these methods are fully covered. So are the classic techniques that measure size distributions, surface curvature, etc., which are widely useful but not discussed in other recent texts. Finally, most stereology is taught as manual procedures using counting and grids, but this text also covers the use of modern desktop computers for image analysis and processing to obtain and interpret the stereological data.

In alternating years, the Denver X-ray Conference turns its principal attention, through the choice of subjects for the plenary lectures, to various aspects of either X-ray fluorescence or dif fraction. This is a "fluorescence" year, and the three invited lecturers are experts in techniques that are at, or perhaps yet a bit beyond, the forefront of our understanding and technology in that field. The common denominator in selecting these subjects was that each is approaching a full elucidation of theory, and active develop ment of practical hardware, and that each presents analytical pos sibilities which can hardly be ignored in the next generation of commercial instrumentation. In other words, these are techniques that many of us shall likely find ourselves using by the end of the decade. The greatest difficulty in selecting the subjects was the need to overlook others, particularly 1) the increasing inter est in "in-situ" or on-line analytical control, for tagging, identi fication or sorting; and 2) the broad subject of the computeriza tion of instrumentation, with its powerful impact on the design of hardware, and its open invitation to the theorist to create more exact mathematical models of the analytical process, regardless of complexity, in the expectation that programmers will find ways to implement solutions in affordable, dedicated computers."

The use of computer-based image analysis systems for all kinds of images, but especially for microscope images, has become increasingly widespread in recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discrimination and measurement, will continue to be developed. This is likely to be true particularly in the field of three-dimensional imaging, since new microscopy methods are beginning to be used which can produce such data. It is not the intent of this book to train programmers who will assemble their own computer systems and write their own programs. Most users require only the barest of knowledge about how to use the computer, but the greater their understanding of the various image analysis operations which are possible, their advantages and limitations, the greater the likelihood of success in their application. Likewise, the book assumes little in the way of a mathematical background, but the researcher with a secure knowledge of appropriate statistical tests will find it easier to put some of these methods into real use, and have confidence in the results, than one who has less background and experience. Supplementary texts and courses in statistics, microscopy, and specimen preparation are recommended as necessary.

The ability to work with, and retrieve images, is vital to forensic and criminal case work. During a five-decade-long career, author John C. Russ has taught methods for image processing and measurement to thousands of students. Forensic Uses of Digital Imaging, Second Edition distills his classroom and workshop material to present the information most relevant to forensic science. Since the publication of the first edition, there have been many significant changes in technology that have revolutionized the ways digital images are used in forensic investigations. Fully updated, the second edition: Covers the widespread advancements of digital imaging photography and processing Discusses the increased power, storage capacity, and use of digital cameras, laptop computers, tablets, and cell phones in forensic science Gives real-world examples to illustrate comparisons between different processing options Includes hundreds of full-color images that demonstrate technologies and techniques Addresses issues of admissibility of forensic investigation results under Frye and Daubert rules Provides guidelines and suggestions for effectively presenting and explaining results Forensic Uses of Digital Imaging, Second Edition explains concepts with minimal jargon, and the methods and tools described in this book can be implemented in a broad spectrum of available computer programs. By demonstrating how these methods can be applied to a variety of images, this book helps readers develop the ability to understand when and how specific techniques should be used. It will be of particular use in casework for practicing photography and imaging police and forensic professionals who need to verify and explain both interpretations and processes to legal professionals, judges, and juries.

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

Stereology is the science that relates three-dimensional structure to the two-dimensional images that can be measured. The most common field of application is in microscopy, both of man-made materials (metals, ceramics, composites, etc.) and of biological tissue samples. This book covers the applications and terminology of both fields. Recent emphasis in stereology is concerned with sampling strategies to avoid bias due to directionality and non-uniformity, and these methods are fully covered. So are the classic techniques that measure size distributions, surface curvature, etc., which are widely useful but not discussed in other recent texts. Finally, most stereology is taught as manual procedures using counting and grids, but this text also covers the use of modern desktop computers for image analysis and processing to obtain and interpret the stereological data.