DocumentCode :
3140077
Title :
Segmentation of color documents by line oriented clustering using spatial information
Author :
Worring, Marcel ; Todoran, Leon
Author_Institution :
Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
67
Lastpage :
70
Abstract :
In this contribution we introduce a new method for global segmentation of color documents with a structure based on text frames and pictures. It is based on an extensive analysis of the expected shape of clusters in RGB-color space. The method provides an improved segmentation over k-means based clustering, and gives a proper basis for indexing and layout analysis. Results are promising
Keywords :
document image processing; image colour analysis; image segmentation; indexing; RGB-color space; color documents segmentation; global segmentation; indexing; k-means based clustering; layout analysis; line oriented clustering; pictures; spatial information; text frames; Clustering algorithms; Color; Image coding; Image segmentation; Indexing; Intelligent systems; Morphology; Shape; Text analysis; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
Type :
conf
DOI :
10.1109/ICDAR.1999.791726
Filename :
791726
Link To Document :
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