TY - GEN
T1 - Optimal palette extraction as part of scanned graphics vectorization
AU - Lacroix, Vinciane
AU - Idrissa, Mahamadou
PY - 2010
Y1 - 2010
N2 - The proposed scanned graphics palette extraction process starts with the extraction of colors of uniform regions, then the colors of local features. In order to enhance the discrimination of unsaturated colors, the image is converted into L*a*b* space and the CMC color difference is used together with the Euclidean distance. After the palette extraction, a regularization process modifies the color of a pixel in order to make it coherent with its neighborhood, thus reducing the number of connected components, hence providing one step further to vectorization. Results are shown on scanned maps and on some scanned graphics.
AB - The proposed scanned graphics palette extraction process starts with the extraction of colors of uniform regions, then the colors of local features. In order to enhance the discrimination of unsaturated colors, the image is converted into L*a*b* space and the CMC color difference is used together with the Euclidean distance. After the palette extraction, a regularization process modifies the color of a pixel in order to make it coherent with its neighborhood, thus reducing the number of connected components, hence providing one step further to vectorization. Results are shown on scanned maps and on some scanned graphics.
UR - https://www.scopus.com/pages/publications/78649339550
U2 - 10.2352/cgiv.2010.5.1.art00051
DO - 10.2352/cgiv.2010.5.1.art00051
M3 - Conference contribution
AN - SCOPUS:78649339550
SN - 9781617388897
T3 - 5th European Conference on Colour in Graphics, Imaging, and Vision and 12th International Symposium on Multispectral Colour Science 2010, CGIV 2010/MCS'10
SP - 320
EP - 325
BT - 5th European Conference on Colour in Graphics, Imaging, and Vision and 12th International Symposium on Multispectral Colour Science 2010, CGIV 2010/MCS'10
PB - Society for Imaging Science and Technology
ER -