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TCSV
2002

Document image segmentation using wavelet scale-space features

13 years 3 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphics part have different textural properties than the nongraphics (text) part. The segmentation method uses the notion of multiscale wavelet analysis and statistical pattern recognition. We have used -band wavelets which decompose an image into bandpass channels. Various combinations of these channels represent the image at different scales and orientations in the frequency plane. The objective is to transform the edges between textures into detectable discontinuities and create the feature maps which give a measure of the local energy around each pixel at different scales. From these feature maps, a scale
Mausumi Acharyya, Malay K. Kundu
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TCSV
Authors Mausumi Acharyya, Malay K. Kundu
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