Advances in Digital Image Processing: Theory, Application, Implementation

ISBN-13: 9781461582847 / Angielski / Miękka / 2012 / 336 str.

P. Stucki

Opis

Digital image processing, originally established to analyze and improve lunar images, is rapidly growing into a wealth of new appli- cations, due to the enormous technical progress made in computer engineering. At present, the most important fields of growth appear to emerge in the areas of medical image processing (i. e. tomography, thermography), earth resource inventory (i. e. land usage, minerals), office automation (i. e. document storage, retrieval and reproduction) and industrial production (i. e. computer vision for mechanical ro- bots). Currently, emphasis is being shifted from signal-processing re- search and design-innovation activities towards cost-efficient system implementations for interactive digital image processing. For the years ahead, trends in computer engineering indicate still further advances in Large Scale Integration (LSI) and Input/Output (I/O) technologies allowing the implementation of powerful parallel and/or distributed processor architectures for real-time processing of high- resolution achromatic and color images. In view of the many new developments in the field of digital image processing and recognizing the importance of discussing these developments amongst key scientists that might make use of them, ffiM Germany sponsored an international symposium on 'Advances in Digital Image Processing', held at Bad Neuenahr, Federal Republic of Germany, September 26 - 28, 1978. The interest shown in this symposium encouraged the publi- cation of the papers presented in this volume of the ffiM Research Symposium Series.

Spis treści

General.- Evolution in Image Science.- Trends in Digital Image Processing Research.- Theory.- A 1D Approach to 2D-Signal Processing.- Digital Coding of Television Signals.- Digital Image Analysis.- Application.- Biomedical Image Processing.- The Processing of X-Ray Image Sequences.- Landsat Image Processing.- Image Processing for Document Reproduction.- Image Processing and Computer Graphics.- Model-Driven Vision for Industrial Automation.- Implementation.- Distributed Image Processing.- Parallel Processors for Digital Image Processing.- Large-Scale Vector/Array Processors.- A Low-Cost Image Processing Facility Employing a New Hardware Realization of High-Speed Signal Processors.