Título

Segmentation of images by color features: a survey

Autor

Jair Cervantes Canales

Farid García Lamont

ASDRUBAL LOPEZ CHAU

Lisbeth Rodríguez Mazahua

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by/4.0

Materias

Color spaces - ([0925-2312]) Image segmentation - ([0925-2312]) Quantitative evaluation - ([0925-2312]) INGENIERÍA Y TECNOLOGÍA - (CTI)

Resumen o descripción

En este articulo se hace la revisión del estado del arte sobre la segmentación de imagenes de color

Image segmentation is an important stage for object recognition. Many methods have been proposed in the last few years for grayscale and color images. In this paper, we present a deep review of the state of the art on color image segmentation methods; through this paper, we explain the techniques based on edge detection, thresholding, histogram-thresholding, region, feature clustering and neural networks. Because color spaces play a key role in the methods reviewed, we also explain in detail the most commonly color spaces to represent and process colors. In addition, we present some important applications that use the methods of image segmentation reviewed. Finally, a set of metrics frequently used to evaluate quantitatively the segmented images is shown.

Editor

Neurocomputing

Fecha de publicación

31 de mayo de 2018

Tipo de publicación

Capítulo de libro

Recurso de información

http://hdl.handle.net/20.500.11799/94746

Fuente

0925-2312

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Repositorio Orígen

REPOSITORIO INSTITUCIONAL DE LA UAEM

Descargas

1475