| Fecha: |
2019 |
| Resumen: |
In this thesis, some transition region based segmentation approaches have developed to perform image segmentation for grayscale and colour images. In computer vision and image understanding applications, image segmentation is an important pre-processing step. The main goal of the segmentation process is the separation of foreground region from background region. The segmentation approaches are application specific and do not work well for both grayscale and colour image segmentation. For any image consisting of foreground and background, some transition regions exist between the foreground and background regions. Effective extraction of transition region leads to a better segmentation result. Therefore, the doctoral thesis intends to efficient and effective transition region extraction approaches for image segmentation for both grayscale and colour images. |
| Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Lengua: |
Anglès |
| Documento: |
Altres ; altres ; Versió publicada |
| Materia: |
Computer Vision ;
Image segmentation ;
Transition region ;
Local variance |
| Publicado en: |
ELCVIA, Vol. 18 Núm. 2 (2019) , p. 1-3 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019)) , ISSN 1577-5097 |
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