Color fractal descriptors for adaxial epidermis texture classification

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The leaves are an important plant organ and source of information for the traditional plant taxonomy. This study proposes a plant classification approach using the adaxial epidermis tissue, a specific cell layer that covers the leaf. To accomplish this task, we apply a high discriminative color texture analysis method based on the Bouligand- Minkowski fractal dimension. In an experimental comparison, the success rate obtained by our proposed approach (96.66%) was the highest among all the methods used, demonstrating that the Bouligand- Minkowski method is very suitable to extract discriminant features from the adaxial epidermis. Thus, this research can significantly contribute with other studies on plant classification by using computer vision.

Cite

CITATION STYLE

APA

Backes, A. R., de Mesquita Sá Junior, J. J., & Kolb, R. M. (2015). Color fractal descriptors for adaxial epidermis texture classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9423, pp. 51–58). Springer Verlag. https://doi.org/10.1007/978-3-319-25751-8_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free