Plant species identification using shortest paths in graphs applied to color images of palisade parenchyma

Made available in DSpace on 2018-11-26T17:34:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-05-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) PROPP-UFU 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. Univ Fed Ceara, Curso Engn Comp, Campus Sobral,Rua Estanislau Frota S-N, BR-62010560 Sobral, Ceara, Brazil Univ Fed Ceara, Dept Engn Teleinformat, Campus Pici S-N,Bloco 725,Caixa Postal 6007, BR-60455970 Fortaleza, Ceara, Brazil Univ Estadual Paulista, Dept Ciencias Biol, Fac Ciencias & Letras, Av Dom Antonio 2100, BR-19806900 Assis, SP, Brazil Univ Fed Uberlandia, Fac Comp, Av Joao Naves de Avila 2121, BR-38408100 Uberlandia, MG, Brazil Univ Estadual Paulista, Dept Ciencias Biol, Fac Ciencias & Letras, Av Dom Antonio 2100, BR-19806900 Assis, SP, Brazil CNPq: 302416/2015-3 FAPEMIG: APQ-03437-15