Abstract
The pattern recognition methods currently under development constitute an incredibly interesting field of research due to their one very characteristic feature. These techniques are increasingly frequently developed at the interface of informatics and cognitive science. This makes them more and more interdisciplinary, not only because of the wide-ranging opportunities to use them in various scientific disciplines, but also due to the influence of other disciplines on the newly developed algorithmic and technical solutions in the field of computer image recognition systems. The greatest such influence comes mainly from cognitive science and neurobiology. Previous years have seen the overlapping of these fields with informatics thanks to the definition and use of artificial neural networks in image recognition. Today, we are witnessing attempts at adapting many other, biologically inspired solutions and models of visual information processing. This was made possible by the development of cognitive science and cognitive informatics which allow new solutions aimed at the semantic analysis and interpretation of the examined images, patterns, scenes, and even situations and referring to the context of the recognition system to be introduced into image recognition algorithms. The last chapter of this monograph contains a summary of the authors’ significant research achievements in the field of advanced image recognition techniques and their practical applications. The summary will also chart the possible further research directions in which this discipline can be developed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ogiela L, Ogiela, MR (2009) Cognitive techniques in visual data interpretation. Studies in computational intelligence 228. Springer, Berlin
Ogiela L, Ogiela MR (2012) Advances in cognitive information systems. Cognitive systems monographs 17. Springer, Berlin
Hachaj T, Ogiela MR (2011) A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. Comput Biol Med 41(6):402–410. doi:10.1016/j.compbiomed.2011.04.002
Hachaj T, Ogiela MR (2012) Visualization of perfusion abnormalities with GPU-based volume rendering. Comput Graph UK 36(3):163–169. doi:10.1016/j.cag.2012.01.002
Hachaj T, Ogiela MR (2013) Application of neural networks in detection of abnormal brain perfusion regions. Neurocomputing 122:33–42. doi:10.1016/j.neucom.2013.04.030
Hachaj T, Ogiela MR (2012) Evaluation of carotid artery segmentation with centerline detection and active contours without edges algorithm. Lect Notes Comput Sci 7465:469–479
Ogiela MR, Hachaj T (2013) Automatic segmentation of the carotid artery bifurcation region with a region-growing approach. J Electron Imaging 22(3):033029, doi: 10.111/1.JEI.22.3.033029
Hachaj T, Ogiela MR (2012) Semantic description and recognition of human body poses and movement sequences with Gesture Description Language. Commun Comput Inf Sci 353:1–8
Hachaj T, Ogiela MR (2014) Rule-based approach to recognizing human body poses and gestures in real time. Multimedia Syst 20:81–99. doi:10.1007/s00530-013-0332-2
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ogiela, M.R., Hachaj, T. (2015). Summary. In: Natural User Interfaces in Medical Image Analysis. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-07800-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-07800-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07799-4
Online ISBN: 978-3-319-07800-7
eBook Packages: Computer ScienceComputer Science (R0)