Image segmentation using morphological tools
In this work we study the extraction of semantic objects from images together with a metric that ranks them according to their perceptual significance. To obtain an initial segmentation we use elements of mathematical morphology (level sets and level lines) and some properties such as T-junctions, c...
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
Publicado: |
2002
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22984 |
Aporte de: |
Sumario: | In this work we study the extraction of semantic objects from images together with a metric that ranks them according to their perceptual significance. To obtain an initial segmentation we use elements of mathematical morphology (level sets and level lines) and some properties such as T-junctions, contrast and compactness. Then, to refine the initial partition we apply regularization techniques and a standard merging algorithm. Finally, we compute a perceptual metric using factors that influence our perception. |
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