Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation
A new method is proposed for text-graphics segmentation. M-band wavelet packet is used to extract scale-space features for document image. Unsupervised feature selection method is proposed to select relevant and non-redundant features. Rough-fuzzy clustering is used to address uncertainty problem of document segmentation. The approach is invariant under font size of text, scanning resolution and type of layout.
rough-fuzzy clustering text-graphics segmentation m-band wavelet packet feature selection texture segmentation