RGB Inter-Channel Measures for Morphological Color Texture Characterization

Autor:	Nelson Luis Durañona Sosa, José Luis Vázquez Noguera, Juan José Cáceres Silva, Miguel García Torres, and Horacio Legal-Ayala
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	feature extraction texture characterization mathematical morphology Mathematics QA1-939
Zdroj:	Symmetry, Vol 11, Iss 10, p 1190 (2019)
Druh dokumentu:	article
ISSN:	2073-8994
DOI:	10.3390/sym11101190
Popis:	The perception of textures is based on high-level features such as symmetry, brightness, color or direction. Texture characterization is a widely studied topic in the image processing community. The normalized volume of morphological series is used as a texture descriptor in RGB images. However, the correlation between different color channels is not exploited with this descriptor. We propose the usage of inter-channel measures in addition to the volume, to enhance the descriptors potential to discriminate textures. The experiments show that standard texture classification techniques increase between 3%−10% in performance when using our descriptor instead of other state of the art descriptors that do not use inter-channel measures.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b82133e4ccd043f4860f2783a2d4ad6f Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.