Abstract
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among some species and presence of irregularities in a given species. Experiments were performed considering 300 ×300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated using Linear Discriminant Analysis (LDA). Results showed that methods based on complexity analysis perform a better texture discrimination, so conducting to a more accurate identification of plant species.
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Backes, A.R., de M. Sá Junior, J.J., Kolb, R.M., Bruno, O.M. (2009). Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_83
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DOI: https://doi.org/10.1007/978-3-642-03767-2_83
Publisher Name: Springer, Berlin, Heidelberg
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