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Optical Engineering

Algorithm based on the finite ridgelet transform for enhancing faint pavement cracks
Author(s): Gang Wang; Xiu-wei Xu; Liang Xiao; Anzhi He
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Paper Abstract

A novel image enhancement algorithm for faint pavement cracks is proposed, based on the finite ridgelet transform (FRIT). In high-resolution FRIT subbands, typical linear singularities of the image are represented by a few coefficients, while randomly located noisy singularities are unlikely to produce significant coefficients. The parameters of an enhancement function can be determined through analyzing the distribution of the high-resolution FRIT coefficients. Therefore, a scheme based on modifying FRIT coefficients should be very effective in enhancing the linear singularities and suppressing the noise. In general, an entire pavement crack is a curve. A smooth partition method is proposed to divide a pavement crack image into local windows where the crack looks straight. Then the FRIT-based enhancement method can be applied to each piece of the whole crack. Experiments verify that faint crack signals submerged in the complicated background can be displayed efficiently by this algorithm.

Paper Details

Date Published: 1 January 2008
PDF: 10 pages
Opt. Eng. 47(1) 017004 doi: 10.1117/1.2834253
Published in: Optical Engineering Volume 47, Issue 1
Show Author Affiliations
Gang Wang, Ludong Univ. (China)
Xiu-wei Xu, Ludong Univ. (China)
Liang Xiao, Nanjing Univ. of Science & Technology (China)
Anzhi He, Nanjing Univ. of Science & Technology (China)

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