Abstract
A model for probabilistic independent component subspace analysis is developed and applied to texture description. Experiments show it to perform comparably to a Gaussian model, and to be useful mainly for problems in which the detection of little occurring, highfrequency image elements is important.
Cite
CITATION STYLE
APA
de Ridder, D., Duin, R. P. W., & Kittler, J. (2002). Texture description by independent components. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2396, pp. 587–596). Springer Verlag. https://doi.org/10.1007/3-540-70659-3_61
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free