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Separating linear features from textured backgrounds

[+] Author Affiliations
Bhavani Pidaparthi

Rochester Institute of Technology, Electrical Engineering Department, Rochester, New York 14623

Raghuveer M. Rao

Rochester Institute of Technology, Electrical Engineering Department, Rochester, New York 14623

Honghong Peng

Rochester Institute of Technology, Electrical Engineering Department, Rochester, New York 14623

J. Electron. Imaging. 15(2), 023012 (June 09, 2006). doi:10.1117/1.2204073
History: Received October 21, 2003; Revised October 13, 2005; Accepted November 15, 2005; Published June 09, 2006
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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.

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© 2006 SPIE and IS&T

Citation

Bhavani Pidaparthi ; Raghuveer M. Rao and Honghong Peng
"Separating linear features from textured backgrounds", J. Electron. Imaging. 15(2), 023012 (June 09, 2006). ; http://dx.doi.org/10.1117/1.2204073


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