TY - GEN
T1 - Leaf-based plant identification through morphological characterization in digital images
AU - Oncevay-Marcos, Arturo
AU - Juarez-Chambi, Ronald
AU - Khlebnikov-Núñez, Sofía
AU - Beltráón-Castañn, César
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Color moments
KW - Complex networks
KW - Haralick’s descriptors
KW - Leaf-based plant identification
KW - Multiscale fractal dimension
UR - http://www.scopus.com/inward/record.url?scp=84945968478&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23117-4_28
DO - 10.1007/978-3-319-23117-4_28
M3 - Conference contribution
AN - SCOPUS:84945968478
SN - 9783319231167
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 326
EP - 335
BT - Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Proceedings
A2 - Azzopardi, George
A2 - Petkov, Nicolai
PB - Springer Verlag
T2 - 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015
Y2 - 2 September 2015 through 4 September 2015
ER -