Identification of Idealized Leaf Types Using Simple Dimensionless Shape Factors by Image Analysis

Yonekawa, Satoshi; Sakai, Naoki; Kitani, Osamu

doi:10.13031/2013.27647

Cited by 43 publications

(15 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, there is still a lack of accessible and quick routines for the numerical description of leaf outline to interpret adequately leaf-shape / environment interactions. These routines might be used for automatic species identification (YONEKAWA & al., 1996), paleocological reconstructions based on leaf form (ROTH-NEBELSICK & ai, 2001), and in plant-level models of light capture (PEARCY & YANG, 1996). Furthermore, there is a lack of accessible and user-friendly morphometric indices which provide characteristic features for taxonomic purposes.…”

Section: Discussionmentioning

confidence: 99%

Fractal dimension does not adequately describe the complexity of leaf margin in seedlings of Quercus species

Camarero¹,

Sisó²,

Gil‐Pelegrín³

2002

Anal. Jard. Bot. Madr.

View full text Add to dashboard Cite

Resumen CAMARERO, J.J., S. Siso & E. GIL-PELEGR(N (2003). La dimension fractal no describe adecuadamente la complejidad del contorno foliar en plantulas de especies del genero Quercus. AnalesJard. Bot. Madrid 60(1): 63-71 (en ingles).Se ha cuantificado la complejidad del margen de las hojas de varias especies arboreas del genero Quercus utilizando la dimension fractal estimada mediante el m&odo del recuento de cajas (FDb). Se tomaron hojas procedentes de plantulas pertenecientes a 15 especies de Quercus con un amplio rango de morfologfa foliar (Q. agrifolia, Q. alba, Q. cerris, Q. chrysolepis, Q. coccifera, Q. faginea, Q. frainetto, Q. ilex subsp. ballota, Q. ilex subsp. ilex, Q. petraea, Q. pyrenaica, Q. robur, Q. rubra, Q. suber y Q. velutina). Se usaron varios Indices sencillos para describir la complejidad del borde de la hoja: P/L, la relation entre el perimetro foliar (P) y la longitud maxima de la hoja siguiendo el eje principal (L); P/A, la relation entre el perimetro y el area foliar (A), asl como su versidn adimensional (P/A 0! ); y WM/Wm, la relaci6n entre la distancia maxima desde el Spice distal de un 16bulo al nervio principal (WM) y la distancia minima desde la incisi6n del 16bulo al nervio principal (Wm). Se hallfj una fuerte relation positiva entre FDb y P/A. Un analisis de agrupamiento revel6 la existencia de tres grupos de hojas segun su lobulacidn y el tipo de margen: margen recto o espinoso (p. ej., Q. coccifera, Q. velutina), lobulos superficiales (p. ej., Q. petraea) y ldbulos profundos (p. ej., Q. pyrenaica). Para las especies estudiadas del genero Quercus, la relation WM/Wm es un (ndice sencillo y adecuado de lobulacidn de hojas. Se sugiere que la tasa de flujo a traves del contorno foliar esta relacionada con la complejidad de dicho borde.Palabras clave: complejidad, dimensi6n fractal, lobulacidn de la hoja, metodo de recuento de cajas, roble. We quantified the complexity of leaf margin in a set of Quercus tree species using fractal dimension estimated by the box-counting method (FDb). Leaves were sampled from seedlings in a set of 15 Quercus species with a wide range of leaf morphology (Q. agrifolia, Q. alba, Q. cerris, Q. chrysolepis, Q. coccifera, Q.faginea, Q. frainetto, Q. ilex subsp. ballota, Q. ilex subsp. ilex, Q. petraea, Q. pyrenaica, Q. robur, Q. rubra, Q. suber, and Q. velutina). To describe leaf-edge roughness, we used simple indices: P/L -the ratio of leaf perimeter (P) to maximum leaf length (L) along the main nerve; P/A -the ratio of leaf perimeter to leaf-blade area (A) and its dimensionless version (P/A 0 '); and WM/Wm -the ratio of maximum distance from the lobe tip to the main nerve (WM) to minimum distance from the lobe incision to the main nerve (Wm). There was a strong positive relationship between FDb and P/A. Clustering analy-64 ANALES JARDfN BOTANICO DE MADRID, 60 (1) 2003 sis revealed the existence of three groups of leaves, namely those with: smooth or spiny margins (e.g., Q. coccifera, Q. velutina), shallow lobes (e.g., Q. petraea), and deep lobes (e.g.,...

show abstract

Section: Discussionmentioning

confidence: 99%

Fractal dimension does not adequately describe the complexity of leaf margin in seedlings of Quercus species

Camarero¹,

Sisó²,

Gil‐Pelegrín³

2002

Anal. Jard. Bot. Madr.

View full text Add to dashboard Cite

show abstract

“…Downey, et al (2004) described a field canopy shape identification system which used a binary canopy erosion technique to discriminate between grasses and broadleaf plants. Yonekawa et al (1996) presented a set of classical shape features for a leaf taxonomy database. Chi, et al (2002) fitted Bezier curves to different leaf boundary shapes.…”

Section: Shape Feature Analysismentioning

confidence: 99%

Machine Vision Identification of Plants

Meyer¹

2011

Recent Trends for Enhancing the Diversity and Quality of Soybean Products

View full text Add to dashboard Cite

“…Classification of plants can also set up databases and plants flora figure of plant resources, it is able to protect plant species variability, and, at the same time, it will allow more non-professionals to get to know plant resources, to enhance public awareness of the protection of plant resources. With the rapid development of computer technology on the classification of plants can be integrated application of image processing technology, pattern recognition technology, supplemented by image acquisition equipment to achieve the rapid classification of plants [9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Importance Of Protecting Plant Speciesmentioning

confidence: 99%

Linear Discriminant Analysis and Its Application in Plant Classification

Wang

2011

2011 Fourth International Conference on Information and Computing

View full text Add to dashboard Cite

The most common organisms on Earth are plants, which are crucial to the maintenance of atmospheric composition, nutrient cycling and other ecosystem processes. The classification of plants is vital to the study of plant genetic diversity and ecological sensitivity, which is also helpful for many problems such as feeding the population and fighting disease. In this paper, we firstly dicuss the shortages of LDA, then classify the plant by using PCA+LDA. The experiments show that it is effective and feasible for plant classification.

show abstract

Identification of Idealized Leaf Types Using Simple Dimensionless Shape Factors by Image Analysis

Cited by 43 publications

References 0 publications

Fractal dimension does not adequately describe the complexity of leaf margin in seedlings of Quercus species

Fractal dimension does not adequately describe the complexity of leaf margin in seedlings of Quercus species

Machine Vision Identification of Plants

Linear Discriminant Analysis and Its Application in Plant Classification

Contact Info

Product

Resources

About