Handbook of Image Processing Operators Reinhard Klette Berlin Technical University, Germany Piero Zamperoni Braunschweig Technical University, Germany The practical applications of digital image processing have expanded significantly in recent years. Interest is increasing over a wide range of disciplines, from computer vision to biomedical imaging and mechanical inspection. An invaluable reference source for all who work in image processing, this text describes the complete range of standard image processing operators and transformations. Coverage spans the fundamentals of image processing, introducing the basic terminology, describing the general control structures and illustrating a range of algorithmical procedures. The major strength of this book lies in its practical approach, offering the user operative solutions to a broad range of specific application problems in image analysis, image enhancement and feature extraction. To this end it serves as a reference to select the most suitable operators for any given problem. After the introductory chapters, each operator is presented in the same form: characterization, mathematical definition, comments and algorithmic aspects, pseudo-program, and bibliographic references. An indispensable guide for computer applications engineers at a professional, academic or research level in communications, natural sciences, medicine, and robotics who have to solve field-specific application problems using advanced digital image processing techniques. The source codes for all the operators described in the text are available on disk for UNIX and MS-DOS systems, see inside for details.

Handbook of Image Processing Operators

Computers & Technology

Klette, Reinhard

Zamperoni, Piero

Computer Science

wiley

This unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. Discussing each concept and algorithm in depth, the book includes mathematical proofs for many of the given statements. Topics and features: provides theoretical and programming exercises at the end of each chapter; presents a thorough introduction to shortest paths in Euclidean geometry, and the class of algorithms called rubberband algorithms; discusses algorithms for calculating exact or approximate ESPs in the plane; examines the shortest paths on 3D surfaces, in simple polyhedrons and in cube-curves; describes the application of rubberband algorithms for solving art gallery problems, including the safari, zookeeper, watchman, and touring polygons route problems; includes lists of symbols and abbreviations, in addition to other appendices.

Euclidean Shortest Paths: Exact or Approximate Algorithms

Arts & Photography

Li, Fajie

Graphic Design

Springer

This book reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. The coverage includes mathematical proofs for many of the given statements.

Addressing the need for a concise and accessible introduction to the complex field of computer vision, this text reinforces its presentation of the essential topics with class-tested exercises. The coverage includes an historical overview of the technology.

Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)

Digital Geometry: Geometric Methods for Digital Picture Analysis

Rosenfeld, Azriel

Programming

Morgan Kaufmann

Digital geometry is about deriving geometric information from digital pictures. The field emerged from its mathematical roots some forty-years ago through work in computer-based imaging, and it is used today in many fields, such as digital image processing and analysis (with applications in medical imaging, pattern recognition, and robotics) and of course computer graphics. Digital Geometry is the first book to detail the concepts, algorithms, and practices of the discipline. This comphrehensive text and reference provides an introduction to the mathematical foundations of digital geometry, some of which date back to ancient times, and also discusses the key processes involved, such as geometric algorithms as well as operations on pictures.

Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics)

Sports & Outdoors

Several new developments in applied mathematics are related to the theoretical fundamentals of computer vision. In this area, the experimental nature of studying new theoretical concepts in computer science is demonstrated. The high complexity of computer vision processes is characterizing already the low-level domain of digitized figures, and appears up to the high-level domain of understanding complex dynamic scenes. New approaches have to be suggested, theoretically and experimentally studied, and integrated into complex solutions. This collection of papers results from the fifth biennial workshop on "Theoretical Foundations of Computer Vision", held at Buckow (Maerkische Schweiz) in Spring 1992. Topics covered in these papers include digital geometry and topology, geometric models for knowledge-based picture analysis, hierarchies (wavelets and pyramids), stereo and modelling and pictures of vision processes.

Theoretical Foundations of Computer Vision: Proceedings of the Vth Workshop 1992 Buckow (MARKISCHE SCHWEIZ MARCH 30-APRIL 3, 1992)

Vch Pub

This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.
While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. 
Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.

Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring (Computational Imaging and Vision, 45)

Rezaei, Mahdi

There are algorithms used for segmenting objects in  images, and most of them can provide good quality  segmentation results. In this book, we select the  most  popular segmentation algorithms and apply them to  segment depth maps of stereo video sequences for  driver  assistance. The goal is to segment the potential  threatening objects from the background and warn the  driver about the potential accident and assist the  driver with driving task under the critical  situation.  People who are interested in the topics of object  segmentation, object segmentation in depth maps and  driver assistance may want to read this book.

Object Segmentation in Depth Maps: Segmenting Objects in Depth Maps of Stereo Video Sequences for Driver Assistance

Ma, Zhongxia

LAP LAMBERT Academic Publishing

This computer vision textbook describes the reconstruction of object surfaces and the analysis of distances between camera and objects. Main topics are static and dynamic stereo analysis, shape from shading, photometric stereo analysis, and structured illumination. The selected procedures, e.g., complex algorithms as Tsai calibration, Frankot-Chellapa depth map generation, or Lee-Rosenfield shape from shading, are discussed at a detailed level such that implementations can follow the given descriptions. Fundamentals are given for these application oriented approaches with respect to camera modeling and calibration, to geometric surface modeling, and to surface reflectance models. New research and laboratory results in shape reconstruction and depth analysis, e.g., based on color images have been included. The text is suitable for graduate courses in computer science, in several engineering disciplines, or in applied mathematics. Theoretical and applied excercises accompany each chapter.

Computer Vision: Three-Dimensional Data from Images

Schluns, Karsten

Koschan, Andreas

See the best price to sell, buy, or rent books by Klette, Reinhard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Klette, Reinhard

See the best price to sell, buy, or rent books by Klette, Reinhard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Handbook of Image Processing Operators

Euclidean Shortest Paths: Exact or Approximate Algorithms

Euclidean Shortest Paths: Exact or Approximate Algorithms

Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)

Digital Geometry: Geometric Methods for Digital Picture Analysis

Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics)

Theoretical Foundations of Computer Vision: Proceedings of the Vth Workshop 1992 Buckow (MARKISCHE SCHWEIZ MARCH 30-APRIL 3, 1992)

Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring (Computational Imaging and Vision, 45)

Object Segmentation in Depth Maps: Segmenting Objects in Depth Maps of Stereo Video Sequences for Driver Assistance

Computer Vision: Three-Dimensional Data from Images