Abstract
This chapter briefly describes aspects of the traditional approach to pattern recognition and classification. Among the number of known methods developed over the years, we can distinguish structural analysis and pattern classification algorithms which the authors have used in their research work for many years to study selected classes of medical images [69]. This chapter will provide a brief summary of key information about traditional approaches to image analysis, and present the methods, developed in recent years, of semantically classifying selected patterns [69]. Structuring information about these subjects will help us, in the following chapters, to raise the possibility of using cognitive and associational techniques for a deeper, meaning-based classification of images.
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© 2009 Springer-Verlag Berlin Heidelberg
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Ogiela, L., Ogiela, M.R. (2009). Traditional pattern recognition technigues and latest image interpretation approaches. In: Cognitive Techniques in Visual Data Interpretation. Studies in Computational Intelligence, vol 228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02693-5_2
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DOI: https://doi.org/10.1007/978-3-642-02693-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02692-8
Online ISBN: 978-3-642-02693-5
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