Leaf-based plant identification through morphological characterization in digital images

Arturo Oncevay-Marcos, Ronald Juarez-Chambi, Sofía Khlebnikov-Núñez, César Beltráón-Castañn

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

10 Citas (Scopus)

Resumen

The plant species identification is a manual process performed mainly by botanical scientists based on their experience. In order to improve this task, several plant classification processes has been proposed applying pattern recognition. In this work, we propose a method combining three visual attributes of leaves: boundary shape, texture and color. Complex networks and multi-scale fractal dimension techniques were used to characterize the leaf boundary shape, the Haralick’s descriptors for texture were extracted, and color moments were calculated. Experiments were performed on the ImageCLEF 2012 train dataset, scan pictures only. We reached up to 90.41% of accuracy regarding the leafbased plant identification problem for 115 species.

Idioma originalInglés
Título de la publicación alojadaComputer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings
EditoresGeorge Azzopardi, Nicolai Petkov
EditorialSpringer Verlag
Páginas326-335
Número de páginas10
ISBN (versión impresa)9783319231167
DOI
EstadoPublicada - 2015
Evento16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015 - Valletta, Malta
Duración: 2 set. 20154 set. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9257
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015
País/TerritorioMalta
CiudadValletta
Período2/09/154/09/15

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