Title :
Towards image retrieval for eight percent of color-blind men
Author :
Kovalev, Vassili A.
Author_Institution :
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK
Abstract :
About 8% of men (but not women) are suffering from color blindness. The objective of this work was to investigate the problem of image retrieval based on color cooccurrence features when comparing normal vision and three kinds of color blindness (dichromasia): protanopia, deuteranopia, and tritanopia. Original database comprises 12000 images that were also converted into three dichromatic versions using the Vischeck simulation tool. Results of 48000 queries were used to study influence of color blindness on retrieval results. Principal component analysis, multidimensional scaling, hierarchical clustering, support vector machines, and statistical methods were employed for investigating feature space distortions associated with color blindness.
Keywords :
colour vision; image colour analysis; image retrieval; pattern clustering; principal component analysis; support vector machines; vision defects; visual databases; Vischeck simulation tool; color cooccurrence feature; color-blind men; hierarchical clustering; image retrieval; multidimensional scaling; principal component analysis; support vector machine; Biomedical signal processing; Color; Image converters; Image databases; Image retrieval; Informatics; Multidimensional signal processing; Spatial databases; Speech processing; Vision defects;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334414
