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Seed Robustness of Oriented Image Foresting Transform: Core Computation and the Robustness Coefficient

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Autor(es):
Moreira Tavares, Anderson Carlos ; Ccacyahuillca Bejar, Hans Harley ; Vechiatto Miranda, Paulo Andre ; Angulo, J ; VelascoForero, S ; Meyer, F
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING (ISMM 2017); v. 10225, p. 12-pg., 2017-01-01.
Resumo

In graph-based methods, image segmentation can be seen as a graph partition problem between sets of seed pixels. The core of a seed is the region where it can be moved without altering its segmentation. The larger the core, the greater the robustness of the method in relation to its seed positioning. In this work, we present an algorithm to compute the cores of Oriented Image Foresting Transform (OIFT), an extension of Fuzzy Connectedness and Watersheds to directed weighted graphs, and compare its performance to other methods according to a proposed evaluation measure, the Robustness Coefficient. Our analysis indicates that OIFT has a good balance between accuracy and robustness, being able to overcome several methods in some datasets. (AU)

Processo FAPESP: 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?
Beneficiário:Alexandre Xavier Falcão
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias
Beneficiário:Roberto Marcondes Cesar Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático