In this paper, we describe work on Bayesian classifiers for distinguishing between homogeneous structures, textures, edges and junctions. We build semi-local classifiers from hand-labeled images to distinguish between these four different kinds of structures based on the concept of intrinsic dimensionality. The built classifier is tested on standard and non-standard images. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Goswami, D., Kalkan, S., & Krüger, N. (2009). Bayesian classification of image structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5575 LNCS, pp. 676–685). https://doi.org/10.1007/978-3-642-02230-2_69
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