4 resultados para document image analysis

em Bulgarian Digital Mathematics Library at IMI-BAS


Relevância:

100.00% 100.00%

Publicador:

Resumo:

ACM Computing Classification System (1998): I.7, I.7.5.

Relevância:

90.00% 90.00%

Publicador:

Resumo:

In this paper we study some of the characteristics of the art painting image color semantics. We analyze the color features of differ- ent artists and art movements. The analysis includes exploration of hue, saturation and luminance. We also use quartile’s analysis to obtain the dis- tribution of the dispersion of defined groups of paintings and measure the degree of purity for these groups. A special software system “Art Paint- ing Image Color Semantics” (APICSS) for image analysis and retrieval was created. The obtained result can be used for automatic classification of art paintings in image retrieval systems, where the indexing is based on color characteristics.

Relevância:

90.00% 90.00%

Publicador:

Resumo:

This article presents the principal results of the doctoral thesis “Recognition of neume notation in historical documents” by Lasko Laskov (Institute of Mathematics and Informatics at Bulgarian Academy of Sciences), successfully defended before the Specialized Academic Council for Informatics and Mathematical Modelling on 07 June 2010.

Relevância:

90.00% 90.00%

Publicador:

Resumo:

ACM Computing Classification System (1998): I.7, I.7.5.