Autor segons l'article: Rafegas I; Vazquez-Corral J; Benavente R; Vanrell M; Alvarez S
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Alvarez Fernandez, Susana Maria
Paraules clau: Spatial structure Pattern recognition Image descriptions Image coding Image categorization Image analysis Human experiment Human Color difference Color complexity Color Codes (symbols) Chromatic features Channel representation Channel correlation Article
Resum: The extraction of spatio-chromatic features from color images is usually performed independently on each color channel. Usual 3D color spaces, such as RGB, present a high inter-channel correlation for natural images. This correlation can be reduced using color-opponent representations, but the spatial structure of regions with small color differences is not fully captured in two generic Red-Green and Blue-Yellow channels. To overcome these problems, we propose new color coding that is adapted to the specific content of each image. Our proposal is based on two steps: (a) setting the number of channels to the number of distinctive colors we find in each image (avoiding the problem of channel correlation), and (b) building a channel representation that maximizes contrast differences within each color channel (avoiding the problem of low local contrast). We call this approach morethan-three color coding (MTT) to emphasize the fact that the number of channels is adapted to the image content. The higher the color complexity of an image, the more channels can be used to represent it. Here we select distinctive colors as the most predominant in the image, which we call color pivots, and we build the new color coding strategy using these color pivots as a basis. To evaluate the proposed approach, we measure the efficiency in an image categorization task. We show how a generic descriptor improves performance at the description level when applied to the MTT coding. © 2017 Optical Society of America.
Àrees temàtiques: Sociología Psicología Optics Medicine (miscellaneous) Medicina ii Materiais Matemática / probabilidade e estatística Interdisciplinar Ensino Engenharias iv Electronic, optical and magnetic materials Computer vision and pattern recognition Ciências biológicas i Ciências agrárias i Ciência da computação Atomic and molecular physics, and optics Astronomia / física
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: susana.alvarez@urv.cat
Identificador de l'autor: 0000-0002-1376-2034
Data d'alta del registre: 2024-07-27
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://opg.optica.org/josaa/abstract.cfm?uri=josaa-34-5-827
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of The Optical Society Of America A-Optics Image Science And Vision. 34 (5): 827-837
Referència de l'ítem segons les normes APA: Rafegas I; Vazquez-Corral J; Benavente R; Vanrell M; Alvarez S (2017). Enhancing spatio-chromatic representation with more-Than-Three color coding for image description. Journal Of The Optical Society Of America A-Optics Image Science And Vision, 34(5), 827-837. DOI: 10.1364/JOSAA.34.000827
DOI de l'article: 10.1364/JOSAA.34.000827
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Tipus de publicació: Journal Publications