An attribute-based image segmentation method



Document title: An attribute-based image segmentation method
Journal: Materials research
Database: PERIÓDICA
System number: 000312414
ISSN: 1516-1439
Authors: 1

1
Institutions: 1Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais. Brasil
Year:
Season: Jul
Volumen: 2
Number: 3
Pages: 145-151
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Descriptivo
English abstract This work addresses a new image segmentation method founded on Digital Topology and Mathematical Morphology grounds. The ABA (attribute based absorptions) transform can be viewed as a region-growing method by flooding simulation working at the scale of the main structures of the image. In this method, the gray level image is treated as a relief flooded from all its local minima, which are progressively detected and merged as the flooding takes place. Each local minimum is exclusively associated to one catchment basin (CB). The CBs merging process is guided by their geometric parameters as depth, area and/or volume. This solution enables the direct segmentation of the original image without the need of a preprocessing step or the explicit marker extraction step, often required by other flooding simulation methods. Some examples of image segmentation, employing the ABA transform, are illustrated for uranium oxide samples. It is shown that the ABA transform presents very good segmentation results even in presence of noisy images. Moreover, it's use is often easier and faster when compared to similar image segmentation methods
Disciplines: Ingeniería
Keyword: Ingeniería de control,
Ingeniería de materiales,
Cerámica,
Análisis de imágenes,
Segmentación de imágenes,
Topología,
Digital
Keyword: Engineering,
Control engineering,
Materials engineering,
Ceramics,
Image analysis,
Image segmentation,
Topology,
Digital
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