From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.  Contents: - Basic Binary Operations- Binary Filtering with Opening and Closing - Representation of Binary Operators- Gray-Scale Morphological Operators - Median and Order Statistics - Stack Filters - Statistical Properties of Median-type and Stack Filters - Optimization of Weighted Median Filters - Optimal Binary Filters - Some Particular Nonlinear Filters

An Introduction to Nonlinear Image Processing (Tutorial Texts in Optical Engineering)

Edward R. Dougherty

Jaakko T. Astola

Computers & Technology

SPIE--The International Society for Optical Engineering

This text is designed to provide a wide range of readers with a technical understanding of computer-based imaging systems and how these systems interact with digital image processing algorithms. It is written for scientists and engineers who need to understand the image-computation relationship. Many figures are included to promote conceptual understanding of various computation streams and relationships. Case studies illustrate practical applications.
 Contents: - Boolean logic - Image processing - Image compression - Basic computer architecture - Advanced architectures - Image processor: case studies - Operating systems - Error detection and correction - Local area networks - Object-oriented design paradigms - Software engineering

Introduction to Computer-based Imaging Systems (Tutorial Texts in Optical Engineering)

Arts & Photography

Divyendu Sinha

Graphic Design

This book addresses digital document enhancement and restoration in these settings. Topics covered include the language and working definitions of the field, current industry practices, the document image class, logic-based image processing within that setting, and algorithms for performing enhancement and restoration of digital documents. Statistical optimization of nonlinear algorithms is treated in considerable depth. Simple idealized examples as well as difficult realistic problems are used extensively throughout the text to illustrate concepts and techniques, and to demonstrate the effectiveness of the methods.
 Contents: - Fundamentals of Digital Document Enhancement and Restoration - Resolution Conversion and Enhancement Technologies - Translation-Invariant Binary Operators - Optimal Mean-Absolute-Error Nonincreasing Binary Filters - Spatial Resolution Conversion and Enhancement Using Nonincreasing Operators - Quantization Range Conversion Using Nonincreasing Filters - Optimal Mean-Absolute-Error Increasing Binary Filters - Restoration by Increasing Binary Filters - Spatial Resolution Conversion Using Paried Increasing Operators - Application of Computational Morphology to Quantization Range Conversion

Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms (SPIE Press Monograph Vol. PM29)

Robert P. Loce

Software

SPIE Publications

Part of the SPIE/IEEE Series on Imaging Science and Engineering. This book provides a framework for understanding the ensemble of temporal, spatial, and higher-dimensional processes in science and engineering that vary randomly in observations. Suitable as a text for undergraduate and graduate students with a strong background in probability and as a graduate text in image processing courses.

Random Processes for Image and Signal Processing (SPIE PRESS Monograph Vol. PM44)

Science & Math

Physics

This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth understanding of the underlying mathematical and filter design methodologies needed to construct and use nonlinear filters in a variety of applications. The 11 chapters explore topics of contemporary interest as well as fundamentals drawn from nonlinear filtering's historical roots in mathematical morphology and digital signal processing. This book examines various filter options and the types of applications for which they are best suited. The presentation is rigorous, yet accessible to engineers with a solid background in mathematics.

Nonlinear Filters for Image Processing (Spie/IEEE Series on Imaging Science & Engineering)

Networking & Cloud Computing

This book provides an overview of electronic imaging systems, technology, and practical applications. Written by industry experts, its 11 chapters explore a variety of systems and applications, ranging from video compression and handwritten word recognition to color science and hardware architectures. The text is intended for readers interested in applied, industrial electronic imaging. 
 Contents: - Introduction: Historical Background; Applications of Image Processing; Image Formation; Sampling and Quantization; Image Neighbors and Distances - Video Compression Standards - Multimedia Systems - Vision and Visualization - Color Image Processing - Enhancement of Digital Documents - Digital Halftoning for Printing and Display of Electronic Images - Document Recognition - Lexicon-Driven Handwritten Word Recognition - Scanning - Hardware Architecture for Image Processing

Electronic Imaging Technology

Graphics & Design

Morphological image processing, now a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this book shows how to analyze a problem and then develop successful algorithms based on the analysis. The book is hands-on in a very real sense: readers can download a demonstration toolbox of techniques and images from the Web so they can process the images according to examples in the text.
Contents
 - Preface - List of Symbols - Binary Erosion and Dilation - Binary Opening and Closing - Morphological Processing of Binary Images - Hit-or-Miss Transform - Gray-Scale Morphology - Morphological Processing of Gray-Scale Images - Morphological Segmentation Watershed - Granulometries - Automatic Design of Morphological Operators - Index

Hands-on Morphological Image Processing (SPIE Tutorial Texts in Optical Engineering Vol. TT59)

Roberto A. Lotufo

Epistemology of the Cell: A Systems Perspective on Biological Knowledge

Michael L. Bittner

Wiley-IEEE Press

Error Estimation for Pattern Recognition

Ulisses M Braga-Neto

This book aims to provide scientists and engineers, and those interested in scientific issues, with a concise account of how the nature of scientific knowledge evolved from antiquity to a seemingly final form in the Twentieth Century that now strongly limits the knowledge that people would like to gain in the Twenty-first Century. Some might think that such issues are only of interest to specialists in epistemology (the theory of knowledge); however, today's major scientific and engineering problems-in biology, medicine, environmental science, etc.-involve enormous complexity, and it is precisely this complexity that runs up against the limits of what is scientifically knowable. To understand the issue, one must appreciate the radical break with antiquity that occurred with the birth of modern science in the Seventeenth Century, the problems of knowledge and truth engendered by modern science, and the evolution of scientific thinking through the Twentieth Century. The book concludes by considering the impact of scientific uncertainty on the translation of scientific knowledge into means to alter the course of Nature-that is, the effect of uncertainty in engineering. It proposes a course of action based on integrating existing partial knowledge with limited data to arrive at an optimal operation on some system, where optimality is conditioned on the uncertainty regarding the system. As for a new scientific epistemology in which valid knowledge can be defined, that awaits the bold efforts of fertile minds enriched with the mathematical, scientific, and philosophic education required for such a quest.

The Evolution of Scientific Knowledge: From Certainty to Uncertainty

Reference

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