Color fractal descriptors for adaxial epidermis texture classification
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Data
2015-01-01
Autores
Backes, André R.
de Mesquita Sá Junior, Jarbas Joaci
Kolb, Rosana Marta [UNESP]
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Resumo
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.
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Palavras-chave
Adaxial epidermis tissue, Bouligand-Minkowski method, Color, Fractal dimension, Texture analysis
Como citar
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9423, p. 51-58.