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Journal of Electronic Imaging

Separating linear features from textured backgrounds
Author(s): Bhavani Pidaparthi; Raghuveer M. Rao; Honghong Peng
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Paper Abstract

The problem of separating linear features from a textured background is of importance in many applications. It has been shown that the Fourier transform can be used in conjunction with polar transformation to "lift" linear features from the background texture. However, while the Fourier transform works well with lines that are spread throughout the entire image, it is less effective when the linear features are of varied length and thickness. We propose approaches based on a windowed Fourier transform and wavelet packet decomposition to lift randomly located lines of varied lengths and thickness. The reasoning underlying the development of the approaches is presented along with comparative examples.

Paper Details

Date Published: 1 April 2006
PDF: 7 pages
J. Electron. Imaging. 15(2) 023012 doi: 10.1117/1.2204073
Published in: Journal of Electronic Imaging Volume 15, Issue 2
Show Author Affiliations
Bhavani Pidaparthi, Rochester Institute of Technology (United States)
Raghuveer M. Rao, Rochester Institute of Technology (United States)
Honghong Peng, Rochester Institute of Technology (United States)

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