Color fractal descriptors for adaxial epidermis texture classification

• Autor(a) principal: Backes, André R.
• Data de Publicação: 2015
• Outros Autores: de Mesquita Sá Junior, Jarbas Joaci, Kolb, Rosana Marta [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1007/978-3-319-25751-8_7; http://hdl.handle.net/11449/178233
• topic: Adaxial epidermis tissue; Bouligand-Minkowski method; Color; Fractal dimension; Texture analysis

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.