Actas de congresos
Color fractal descriptors for adaxial epidermis texture classification
Fecha
2015-01-01Registro en:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9423, p. 51-58.
1611-3349
0302-9743
10.1007/978-3-319-25751-8_7
2-s2.0-84983656147
Autor
Universidade Federal de Uberlândia (UFU)
Departamento de Engenharia de Computação
Universidade Estadual Paulista (Unesp)
Institución
Resumen
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.