Intelligent hierarchical layout segmentation of document images on the basis of colour content

This paper proposes a general methodology for automatic layout segmentation of documents. We first use colour histograms for extracting dominant colours of an image. This information is then used to hierarchically segment documents into regions of interest represented as polygons. If a region of int...

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Main Authors: Mighlani, D., Hennig, A., Sherkat, N., Whitrow, R.J.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Graphics
Histograms
Image databases
Image segmentation
Life testing
Microcomputers
Pixel
Process design
World Wide Web
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creator Mighlani, D.
Hennig, A.
Sherkat, N.
Whitrow, R.J.
description This paper proposes a general methodology for automatic layout segmentation of documents. We first use colour histograms for extracting dominant colours of an image. This information is then used to hierarchically segment documents into regions of interest represented as polygons. If a region of interest is a picture the algorithm intelligently refrains from segmenting it further, while coloured regions that contain text are subsegmented. The method has been tested on 50 real life documents, such as office letters, brochures, and technical papers, scanned at 100/spl times/100 dpi resolution. Regions are detected with about 68% reliability. A critical analysis of the results is presented.
doi_str_mv 10.1109/TENCON.1997.647289
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ispartof TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162), 1997, Vol.1, p.191-194 vol.1
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Data mining
Graphics
Histograms
Image databases
Image segmentation
Life testing
Microcomputers
Pixel
Process design
World Wide Web
title Intelligent hierarchical layout segmentation of document images on the basis of colour content
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