Abstract
The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experiment with human subjects based on variation of subjective temporal estimations associated with changes in visual attentional load, which is also described herein.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cardaci, M.: The Mental Clock Model - Studies on the Structure of Time. Physics to Psycho(patho)logy. In: Buccheri, L., Di Gesù, V. (eds.). Kluwer Academic/Plenum Publishers, New York (2000)
Ornstein, R.E.: The Psychology of Consciousness. Freeman and Company, San Francisco (1972)
Di Gesù, V., Roy, S.: Fuzzy measures for image distance. Advances in Fuzzy Systems and Intelligent Technologies. In: Masulli, F., Parenti, R., Pasi, G. (eds.). Shaker Publishing (NL), Ithaca (2000)
Marr, D., Hildreth, E.: Theory of Edge Detection. Proc. R. Soc. Lond. B. 207, 187–217 (1980)
Petrou, M.: The Differentiating Filter Approach to Edge Detection. Advances in Electronics and Electron Physics 88, 297–345 (1994)
Di Gesù, V., Valenti, C.: Symmetry operators in computer vision. Vistas in Astronomy, Pergamon 40(4), 461–468 (1996)
De Luca, A., Termini, S.: Information and Control, vol. 20, p. 301 (1972)
Oliva, A., Mack, M.L., Shrestha, M., Peeper, A.: Identifying the perceptual dimensions of visual complexity of scenes. In: Proc. of the 27th Annual Meeting of the Cognitive Science Society, Chicago (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cardaci, M., Di Gesù, V., Petrou, M., Tabacchi, M.E. (2006). On the Evaluation of Images Complexity: A Fuzzy Approach. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_38
Download citation
DOI: https://doi.org/10.1007/11676935_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32529-1
Online ISBN: 978-3-540-32530-7
eBook Packages: Computer ScienceComputer Science (R0)