Abstract
In this paper, the application of the fuzzy transforms of the zero degree (F 0-transform) and of the first degree (F 1-transform) to the image registration is demonstrated. The main idea is to use only one technique (F-transform generally) to solve various tasks of the image registration. The F 1-transform is used for an extraction of feature points in edge detection step. The correspondence between the feature points in two images is obtained by the image similarity algorithm based on the F 0-transform. Then, the shift vector for corresponding corners is computed, and by the image fusion algorithm, the final image is created.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Perfilieva, I.: Fuzzy transforms: Theory and applications. Fuzzy Sets and Systems 157, 993–1023 (2006)
Perfilieva, I., De Baets, B.: Fuzzy Transform of Monotonous Functions with Applications to Image Processing. Information Sciences 180, 3304–3315 (2010)
Hurtik, P., Perfilieva, I.: Image compression methodology based on fuzzy transform. In: Herrero, Á., Snášel, V., Abraham, A., Zelinka, I., Baruque, B., Quintián, H., Calvo, J.L., Sedano, J., Corchado, E. (eds.) Int. Joint Conf. CISIS’12-ICEUTE’12-SOCO’12. AISC, vol. 189, pp. 525–532. Springer, Heidelberg (2013)
Hurtik, P., Perfilieva, I.: Image compression methodology based on fuzzy transform using block similarity. In: 8th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2013). Atlantis Press (2013)
Hurtik, P., Perfilieva, I.: Image Reduction/Enlargement Methods Based on the F-Transform, pp. 3–10. European Centre for Soft Computing, Asturias (2013)
Zitova, B., Flusser, J.: Image registration methods: a survey. Image and Vision Computing 21(11), 977–1000 (2003)
Perfilieva, I., Daňková, M.: Image fusion on the basis of fuzzy transforms. In: Proc. 8th Int. FLINS Conf., Madrid, pp. 471–476 (2008)
Vajgl, M., Perfilieva, I., Hod’kov, P.: Advanced F-Transform-Based Image Fusion. Advances in Fuzzy Systems 2012 (2012)
Perfilieva, I., Hodáková, P., Hurtík, P.: F1-transform edge detector inspired by Canny’s algorithm. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part I. CCIS, vol. 297, pp. 230–239. Springer, Heidelberg (2012)
Perfilieva, I., Daňková, M., Bede, B.: Towards F-transform of a higher degree. Fuzzy Sets and Systems 180, 3–19 (2011)
Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60 (2004)
Brown, M., Lowe, D.: Automatic Panoramic Image Stitching using Invariant Features. International Journal of Computer Vision 74(1), 59–73 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hurtík, P., Perfilieva, I., Hodáková, P. (2014). Fuzzy Transform Theory in the View of Image Registration Application. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-08855-6_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
eBook Packages: Computer ScienceComputer Science (R0)