Efficient Image Segmentation in Graphs with Localized Curvilinear Features

Autor(es)

Bejar, Hans H. C. ; Cappabianco, Fabio A. M. ; Miranda, Paulo A. V. ; Battiato, S ; Gallo, G ; Schettini, R ; Stanco, F

• Tipo de documento: Artigo Científico
• Fonte: IMAGE ANALYSIS AND PROCESSING,(ICIAP 2017), PT I; v. 10484, p. 11-pg., 2017-01-01.

Resumo

In graph-based image segmentation, the arc weights are given by a local edge indicator function based on image attributes and prior object information. In boundary tracking methods, an edge integration process combines local edges into meaningful long edge curves, interconnecting a set of anchor points, such that a closed contour is computed for segmentation. In this work, we show that multiple short-range edge integrations can extract curvilinear features all over the image to improve seeded region-based segmentation. We demonstrate these results using edge integration by Live Wire (LW), combined with Oriented Image Foresting Transform (OIFT), due to their complementary strengths. As result, we have a globally optimal segmentation, that can be tailored to a given target object, according to its localized curvilinear features. (AU)

• Processo FAPESP: 16/21591-5 - Desenvolvimento de métodos robustos para delineamento de bordas em imagens utilizando grafos
• Beneficiário: Fábio Augusto Menocci Cappabianco
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• 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
• 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