Roger Boyle – författare

In this rapidly moving area, "Image Processing, Analysis and Machine Vision" gives details of the recent developments in the field, as well as up-to-date and comprehensive coverage of all aspects of the subject. Based on the original book published in Czech, this English edition has been considerably expanded to include 3D vision, neural networks and invariants. Further algorithms, diagrams and an up-to-date bibliography have been added to make this book useful reading for students and professionals involved in computer vision. This book should be of interest to undergraduates, graduate students and professionals.

This book contains the 61 papers that were accepted for presenta­ tion at the 1992 British Machine Vision Conference. Together they provide a snapshot of current machine vision research throughout the UK in 24 different institutions. There are also several papers from vision groups in the rest of Europe, North America and Australia. At the start of the book is an invited paper from the first keynote speaker, Robert Haralick. The quality of papers submitted to the conference was very high and the programme committee had a hard task selecting around half for presentation at the meeting and inclusion in these proceedings. It is a positive feature of the annual BMV A conference that the entire process from the submission deadline through to the conference itself and publication of the proceedings is completed in under 5 months. My thanks to members of the programme committee for their essential contribution to the success of the conference and to Roger Boyle, Charlie Brown, Nick Efford and Sue Nemes for their excellent local organisation and administration of the conference at the University of Leeds.

Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter­ est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in­ creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the ''elementary'' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master''s students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors'' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.

The British Machine Vision Association was formed in 1990, with the aim of promoting the knowledge of machine vision, image processing and pattern recognition in the UK. Its members are drawn from a wide range of academic, industrial and professional disciplines, and include physicists, engineers, computer scientists and psychologists. Its annual conferences provide a national forum at which research into the theory, technology and application of these areas can be presented and debated. This volume contains the papers presented at the 1992 conference. Among the topics covered are: image processing and feature extraction; object recognition and scene analysis; reconstruction of 3D shapes; advanced pattern analysis; computational issues in perception; robotic vision and sensor fusion; practical applications; model-based coding; architectures; active vision; motion analysis and neural networks.