Abstract
Many articles sate the benefits of using knowledge-based systems for image processing. Walker and Fox (1987) state that the two fields have developed separately with more focus being made on applications combining the two fields. Gillies and Hart (1988) state that knowledge-based methods applied to many domains, have been minimal in image processing. They argue that the field has a lot of scope for the image processing domain. However, a number of articles outline the increase in use of knowledge-based systems and methods for image processing whether it is for restoration of images, or improving the performance of a system. Image processing is often seen in work on AI vision with sections in AI books on computer vision or visual image understanding. More recent articles tend not to consider the degree of linkage between the two fields of image processing and knowledge-based systems. Instead they deal more on how improvements or image processing problems may be addressed using knowledge-based systems.
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© 1997 Springer-Verlag London
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Graham, D., Barrett, A. (1997). Knowledge-Based Image Processing: The Way Forward. In: Knowledge-Based Image Processing Systems. Applied Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0635-7_12
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DOI: https://doi.org/10.1007/978-1-4471-0635-7_12
Publisher Name: Springer, London
Print ISBN: 978-3-540-76027-6
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