Software Issues for Machine Vision
An analysis of the problems involved in the design and use of computer languages for image processing and analysis is provided in the paper and a number of example languages (PICASSO, PPL, PIXAL, etc) are discussed to highlight the significant features th
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ISSUES ON MACHINE VISION
EDITED BY G. G. PIERONI
UNIVERSITA DI UDINE
Springer-Verlag Wien
GmbH~
Le spese di stampa di questo volume sono in parte coperte da contributi del Consiglio Nazionale delle Ricerche.
This volume contains 141 illustrations (12 in color).
This work is subject to copyright. Ali rights are reserved, whether the whole or part of the material is concemed specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. © Springer-Verlag Wien 1989 Originally pub1ished by CISM Udine in 1989.
In order to make this volume available as economically and as rapidly as possible the authors' typescripts have been reproduced in their original forms. This method unfortunately has its typographical limitations but it is hoped that they in no way distract the reader.
ISBN 978-3-211-82148-0 ISBN 978-3-7091-2830-5 (eBook) DOI 10.1007/978-3-7091-2830-5
Preface Vision is our most powerful sense. It provides us with information that is frequently vital for our life. It also allows us to interact with the environment and to make decisions without being in physical contact with the objects around us. Building a machine with similar capabilities has been the dream of many computer scientists since the beginning of the computer age. Special efforts have been devoted, especially in the last decade, to the task of designing a machine vision system that would be able to work in a fairly general environment. A machine vision system should be able to analyze images and produce descriptions of what it "sees". The descriptions should capture the aspects of the objects being imaged and be useful for accomplishing some specific task. One reason for the increasing interest in vision systems is the desire to raise the level of the jobs that could be performed by robots. Another reason is the demand by industry for intelligent procedures that are capable of automatic inspection and measurement. Both reasons have pushed researchers to strive for advances in the area of artificial vision. In July 1988 the CISM (International Center for Mechanical Sciences) organized a course on machine vision in Udine, Italy. By assembling a number ofleading researchers, the course aimed to reach two main objectives: first to diffuse new scientific results and to stimulate free interaction and exchange of ideas among attendees, and second, to provide young researchers with information about the state of the art in machine vision. There were 57 participants, representing industri~s and academic institutions, and they came from 14 countries. The program was structured so as to alternate invited papers (in the morning sessions) with presentations by participants (in the afternoon sessions). The course lasted one week and consisted of 19 lectures and 16 free presentations. Topics ranged from theoretical issues to specific applications. In this book we have collected both the invited papers as well as the presentations by participants. It re
