RGB Inter-Channel Measures for Morphological Color Texture Characterization

Symmetry

MiguelGarcía Torres¹  José LuisVázquez Noguera²  Juan JoséCáceres Silva²  NelsonLuisDurañona Sosa²  andHoracio Legal-Ayala² 

[1] Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain;Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay;

关键词: feature extraction;    texture characterization;    mathematical morphology;   

DOI  :  10.3390/sym11101190

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown