Cage active contours: Extension to color spaces and application to image morphing
The main purpose of this master thesis is to enhance the performance of Cage Active Contours (CAC) in the context of color image object segmentation as well as provide a theoretical framework on which to justify the potential applications of the segmentation produced in particular to image morphing.
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/78293 |
| Acceso en línea: | https://hdl.handle.net/2117/78293 |
| Access Level: | acceso abierto |
| Palabra clave: | Image segmentation. Segmentació d'objectes Contorns Actius amb Caixes coordenades de valor mitjà models gaussians mixtes RGB hue morphing. Image object segmentation Cage Active Contours Mean Value Coordinates Gaussian Mixture Models Imatges -- Segmentació Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| Sumario: | The main purpose of this master thesis is to enhance the performance of Cage Active Contours (CAC) in the context of color image object segmentation as well as provide a theoretical framework on which to justify the potential applications of the segmentation produced in particular to image morphing. |
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