Serialized unsupervised classifier for adaptative color image segmentation: Application to digitized ancient manuscripts

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2004, Pages 494-497

  Leydier, Y ^a   Le Bourgeois, F ^b   Emptoz, H ^b  

^a Archimed SA   (France)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATIVE ALGORITHMS; COLOR IMAGE SEGMENTATION; LIGHTING VARIATION; MANUSCRIPTS;

ALGORITHMS; ANALOG TO DIGITAL CONVERSION; COMPUTATIONAL COMPLEXITY; INFORMATION ANALYSIS; PARAMETER ESTIMATION; TRANSPARENCY;

IMAGE SEGMENTATION;

EID: 10044288582     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334174     Document Type: Conference Paper

References (5)

1. F. Le Bourgeois and al. "Document Images Analysis solutions for Digital libraries", To appear into the first International Workshop on Document Image Analysis for Libraries (DIAL), jan 2004, Palo Alto.
2. J. Puzicha and S. Belongie, "Model-based halftoning for color image segmentation", International Conference on Pattern Recognition (ICPR) 2000, pp. 3633-3637.
3. P. Lambert and H. Grecu, "A quick and coarse color image segmentation", International Conference on Image Processing (ICIP) 2003, pp. 965-968.
4. L. Todoran and M. Worring, "Segmentation of Color Document Images", ISIS technical report series, 2000, vol 21.
5. C. Zhang and P. Wang, "A new method of color image segmentation based on intensity and hue clustering", International Conference on Pattern Recognition (ICPR) 2000, pp. 3617-3621.