Abstract
In this paper we propose a split and merge texture segmentation method. The presented approach is characterised by the introduction of a novel operator, the Local Fuzzy Pattern for texture discrimination, and the employment of a neuro-fuzzy decision support strategy, which supervises the overall split and merge procedure. The effectiveness of the proposed approach is evaluated on a set of artificial and natural texture images. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Caponetti, L., Castiello, C., Fanelli, A. M., & Górecki, P. (2006). Texture segmentation with local fuzzy patterns and neuro-fuzzy decision support. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4252 LNAI-II, pp. 340–347). Springer Verlag. https://doi.org/10.1007/11893004_44
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