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.
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Caponetti, L., Castiello, C., Fanelli, A.M., Górecki, P. (2006). Texture Segmentation with Local Fuzzy Patterns and Neuro-fuzzy Decision Support. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_44
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DOI: https://doi.org/10.1007/11893004_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
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