Abstract
Leaves provide an important source of data for research in comparative plant biology. This paper presents a method for comparing and classifying plants based on leaf texture. Joint distributions for the responses from applying different scales of the Gabor filter are calculated. The difference between leaf textures is calculated by the Jeffrey-divergence measure of corresponding distributions. This technique is also applied to the Brodatz texture database, to demonstrate its more general application, and comparison to the results from traditional texture analysis methods is given.
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Cope, J.S., Remagnino, P., Barman, S., Wilkin, P. (2010). Plant Texture Classification Using Gabor Co-occurrences. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17274-8_65
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DOI: https://doi.org/10.1007/978-3-642-17274-8_65
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