Título
Inteligencia Computacional para la Segmentación de Imágenes Naturales
Computational Intelligence for the Segmentation of Natural Images
Autor
ROCIO ALFONSINA LIZARRAGA MORALES
Colaborador
VICTOR AYALA RAMIREZ (Director)
Nivel de Acceso
Acceso Abierto
Materias
CIS- Doctorado en Ingeniería Eléctrica CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) CIENCIA DE LOS ORDENADORES - (CTI) Computational intelligence Image segmentation Computer vision Artificial Intelligence Inteligencia computacional Segmentación de Imágenes Visión por computadora Inteligencia Artificial
Resumen o descripción
Image segmentation is a central topic in computer vision research with a long tradition as one of the fundamental problems. Its importance is based on its use as a pre-analysis of images in the development of high-level tasks, such as object recognition, tracking, scene understanding, image retrieval, just to mention a few. The performance of these aforementioned high-level tasks largely depends on the accuracy and robustness of the image segmentation method. Segmentation refers to the process of partitioning a digital image into multiple regions. The partition consists in assigning a label to every pixel within an image, in such a way that pixels with the same label are homogeneous in a set of particular features, and in addition, are spatially connected. The main motivation for image segmentation is to provide a compact representation of data, wherein all subsequent processing can be done at a region level, instead of at a pixel level.
Editor
Universidad de Guanajuato
Fecha de publicación
febrero de 2014
Tipo de publicación
Tesis de doctorado
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Repositorio Orígen
Repositorio Institucional de la Universidad de Guanajuato
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