Plant texture classification using gabor co-occurrences

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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. © 2010 Springer-Verlag.

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Cope, J. S., Remagnino, P., Barman, S., & Wilkin, P. (2010). Plant texture classification using gabor co-occurrences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6454 LNCS, pp. 669–677). https://doi.org/10.1007/978-3-642-17274-8_65

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