Color Fractal Descriptors for Adaxial Epidermis Texture Classification

被引:34
作者
Backes, Andre R. [1 ]
de Mesquita Sa Junior, Jarbas Joaci [2 ]
Kolb, Rosana Marta [3 ]
机构
[1] Univ Fed Uberlandia, Fac Comp, Av Joao Naves de Avila 2121, BR-38408100 Uberlandia, MG, Brazil
[2] Univ Fed Ceara, Dept Engn Comp, BR-62010560 Sobral, Ceara, Brazil
[3] Univ Estadual Paulista, UNESP, Fac Ciencias & Letras, Dept Ciencias Biol, BR-19806900 Assis, SP, Brazil
来源
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2015 | 2015年 / 9423卷
关键词
Adaxial epidermis tissue; Texture analysis; Color; Fractal dimension; Bouligand-Minkowski method; COMPUTER VISION; DIMENSION; FEATURES;
D O I
10.1007/978-3-319-25751-8_7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:51 / 58
页数:8
相关论文
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