Electronics & Communication Engineering Journal
Volume 10, Issue 3, June 1998
Volumes & issues:
Volume 10, Issue 3
June 1998
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- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 90 –91
- DOI: 10.1049/ecej:19980301
- Type: Article
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- Author(s): L. Schomaker
- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 93 –102
- DOI: 10.1049/ecej:19980302
- Type: Article
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93
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In this paper, pen computing, i.e. the use of computers and applications in which the pen is the main input device, are described from four different viewpoints. Firstly a brief overview of the hardware developments in pen systems is given, leading to the conclusion that the technological developments in this area have not led to the expected user acceptance of pen computing. The reasons underlying this market failure are explored. Problems of pen-user interface design are then described and existing and new applications are summarised. The handwriting process and product are discussed and, finally, automatic recognition methodologies are considered. Four basic factors determining handwriting variation and variability are identified. A handwriting recognition approach using segmentation into velocity-based strokes is considered in somewhat more detail. - Author(s): J. Illingworth and A. Hilton
- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 103 –113
- DOI: 10.1049/ecej:19980303
- Type: Article
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103
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Interest in virtual reality and multimedia has provided a great impetus to the development of automatic techniques for building graphical CAD/CAM models of objects and environments by sensing reality itself. The learning of models in this way is essential, particularly in terms of production times and attaining the required high fidelity needed for many applications. Research has produced techniques for extracting full 3D shape models using a variety of sensors and a spectrum of techniques. These include the use of static video cameras, mobile video cameras (e.g. walk through video), multiple camera platforms and/or specialist active range sensors (typically based on laser striping or sonar). This paper introduces the principles and methodologies underlying several of these methods and presents algorithms and examples from systems representative of three major approaches: models from silhouettes, models from active range sensors and, finally, models from passive uncalibrated video sequences. - Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 114 –116
- DOI: 10.1049/ecej:19980304
- Type: Article
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114
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- Author(s): J.A. Bangham and S. Marshall
- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 117 –128
- DOI: 10.1049/ecej:19980305
- Type: Article
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117
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Mathematical morphology is the analysis of signals and images in terms of shape. Much is based on simple positive Boolean functions that are used to produce filters for binary and greyscale signals and images. In a previous development, the standard operators are applied to connected sets that form maxima and minima. These are new, powerful, general tools for analysing and representing images. - Author(s): G.J. Awcock
- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 129 –138
- DOI: 10.1049/ecej:19980306
- Type: Article
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129
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This tutorial paper focuses on image acquisition technologies which give us insights that cannot be achieved at the wavelengths that we can perceive unaided. It aims to introduce two of the most rapidly developing and exciting areas in this field-synthetic aperture radar imaging and tomographic medical imaging-each of which has the capacity to provide significant, but widely differing, benefits to mankind. - Author(s): A. Downton and D. Crookes
- Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, p. 139 –151
- DOI: 10.1049/ecej:19980307
- Type: Article
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139
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Image processing is often considered a good candidate for the application of parallel processing because of the large volumes of data and the complex algorithms commonly encountered. This paper presents a tutorial introduction to the field of parallel image processing. After introducing the classes of parallel processing a brief review of architectures for parallel image processing is presented. Software design for low-level image processing and parallelism in high-level image processing are discussed and an application of parallel processing to handwritten postcode recognition is described. The paper concludes with a look at future technology and market trends. - Source: Electronics & Communication Engineering Journal, Volume 10, Issue 3, page: 152 –152
- DOI: 10.1049/ecej:19980308
- Type: Article
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p.
152
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(2 pages)
Image processing and its applications
From handwriting analysis to pen-computer applications
Looking to build a model world: automatic construction of static object models using computer vision
Book reviews
Image and signal processing with mathematical morphology
Technology and applications of radar and tomographic medical image acquisition systems
Parallel architectures for image processing
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