Segmentation of color documents by line oriented clustering using spatial information
Marcel Worring, Leon Todoran · 1999
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.