Color discrimination enhancement for dichromats using self-organizing color transformation
Information Sciences: an International Journal
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Optimising the choice of colours of an image database for dichromats
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining dichromatic colours from video
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
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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 co-occurrence 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.