Plant species identification using shortest paths in graphs applied to color images of palisade parenchyma
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Data
2017-05-01
Autores
Mesquita Sa Junior, Jarbas Joaci de
Cortez, Paulo Cesar
Kolb, Rosana Marta [UNESP]
Backes, Andre Ricardo
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Resumo
Aiming to identify plants, we propose to evaluate the color texture of the palisade parenchyma, from microscopic images of leaf cross-sections, using a graph based approach. Our texture analysis approach models the image texture as a graph and uses measurements computed from the shortest paths between specific vertices to provide a feasible texture signature. For a more consistent evaluation, we compared our approach to different methods for color texture analysis in a texture classification experiment. The results obtained indicate that our approach is the most suitable for this histological analysis as it surpassed all the other texture approaches using Linear Discriminant Analysis, and obtained the second best accuracy using 1-Nearest Neighbor. These results also corroborate the feasibility of using both histological (as the palisade parenchyma) and computer analysis for identification and delimitation of plant taxa.
Descrição
Palavras-chave
Plant identification, Color texture, Palisade parenchyma, Shortest paths, Graphs
Como citar
Ecological Informatics. Amsterdam: Elsevier Science Bv, v. 39, p. 119-122, 2017.