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Braddick O.J., Sleigh A.C. (eds.) Physical and Biological Processing of Images

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Braddick O.J., Sleigh A.C. (eds.) Physical and Biological Processing of Images
Springer, 1983. — 413 p.
This book consists of papers presented at an international symposium sponsored and organised by The Rank Prize Funds and held at The Royal Society, London, on 27-29 September, 1982.
Since the inception of the Funds, the Trustees and their Scientific Advisory Committee on Opto-e1ectronics have considered that the scope of optoelectronics should extend to cover the question of how the eye transduces and processes optical information. The Funds have aimed to organise symposia on topics which, because of their interdisciplinary nature, were not well covered by other regular international scientific meetings. It was therefore very appropriate that the 1982 symposium should be on Physical and Biological Processing of Images.
The purpose of the symposium was to bring together scientists working on the physiology and psychology of visual perception with those developing machine systems for image processing and understanding. The papers were planned in such a way as to emphasise questions of how image-analysing systems can be organised, as well as the principles underlying them, rather than the detailed biophysics and structure of sensory systems or the specific design of hardware devices. As far as possible, related topics in biological and artificial systems were considered side by side.
The initial stages of image processing, whether physical or biological, consist of fairly simple, usually local, transformations of the array of intensity values in the image. However, to derive any useful information from the image, operations are needed which compute higher-level descriptions in terms of motion, stereo, and segmented regions, and ultimately in terms of the identity of objects and their layout in space. The topics of the papers were selected to span this whole range of image-processing problems.
If we can understand how to mechanise image interpretation. a rich harvest of applications will follow. Applications in medical imaging, remote sensing, and character recognition are explicitly considered here. and the possibilities for robotics frequently arose in discussion. The continuing fall in the cost of information processing and storage components makes it feasible to construct practical systems which would have seemed extravagant fictions only a few years ago. Research into the field which some term the 'Physics of Computational Systems' is likely to be one of the key topics of the 1980's. Insights into how the brain organises and relates data could cata1yse the production of new and powerful computer architectures. Conversely, fundamental limitations which emerge from the study of computing and data organisation will help to confirm or reject models of human visual processes deduced by psychologists and physiologists.
The proceedings of the symposium reflected the very great diversity of scientific interest in these problems; artificial intelligence, computer science, vertebrate and invertebrate neurophysiology, optical and electronic engineering, visual psychophysics, pattern recognition, and cognitive psychology were represented. The symposium made participants from each of these fields aware of the que~tions posed by other disciplines and the kinds of answers they can currently offer. It was clear that they had much in common. It was also clear that their different vocabularies, methods and backgrounds were a hurdle yet to be fully surmounted. This volume, we hope, will broaden the horizons of a wider audience of research workers and advanced students in all disciplines concerned with the processing and interpretation of images, and stimulate a continuing interaction between these diverse groups.
Overviews
Understanding Natural Vision
Aspects of Visual Automation
Constraints, Descriptions and Domain Mappings in Computational Vision
Local Spatial Operations on the Image
Matching Coding to Scenes to Enhance Efficiency
Neighbourhood Operators
Frequency Domain Visual Processing
Psychophysical Evidence for Spatial Channels
Detection and Recognition of Simple Spatial Forms
Perceptual Filters
Early Stages of Image Interpretation
Visual Algorithms
The Measurement of Visua1 Motion
Visual Coding of Position and Motion
Designing and Implementing an Algorithm to Extract Motion Information from Images
Stereopsis
Viewer-Centered Intensity Computations
Pattern Recognition
Statistical Image Processing
Memory Networks for Practical Vision Systems
Spatially Analogue Processes
Matching Elastic Templates
Analogue Representations of Spatial Objects and Transformations
Higher Level Representations in Image Processing
Contrast of Structured and Homogenous Representations
Figure/Ground: Segmentation and Aggregation
The Role of Attention in Object Perception
Cooperative Grouping and Early Orientation Selection
Recognition of Shape in Visible Surfaces
Parallel Computers and Vision - Can Hardware Concepts Give Clues to "Brainware"?
Image Processing in Perception and Cognition
Postscript
Image Interpretation: The Way Ahead?
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