2008
DOI: 10.2528/pier07112706
|View full text |Cite
|
Sign up to set email alerts
|

Empirical Characterization of Wood Surfaces by Means of Iterative Autocorrelation of Laser Speckle Patterns.

Abstract: Abstract-A simple and inexpensive method for the qualitative characterization of wood surfaces is presented. It is based on the iterative autocorrelation of laser speckle patterns produced by diffuse laser illumination of the wood surfaces. The method exploits the high spatial frequency content of speckle images. A similar approach with raw conventional photographs taken with ordinary light would be very difficult. A few iterations of the algorithm are necessary, typically three or four, in order to visualize … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2010
2010
2013
2013

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 24 publications
0
3
0
Order By: Relevance
“…As shown in Figure 6, field distributions by applying the four Hadamard phase patterns are similar with typical features like granular noise, which is quite similar to optical speckles [20]. But they are not the detected images, which are not only decided by the field distributions, but also by the power coupling mechanism of the field to the detectors.…”
Section: Reflected Waves Imaging Sub-systemmentioning
confidence: 69%
“…As shown in Figure 6, field distributions by applying the four Hadamard phase patterns are similar with typical features like granular noise, which is quite similar to optical speckles [20]. But they are not the detected images, which are not only decided by the field distributions, but also by the power coupling mechanism of the field to the detectors.…”
Section: Reflected Waves Imaging Sub-systemmentioning
confidence: 69%
“…The fluctuation characteristics of the amplitude and phase of an optical wave propagating through a turbulent medium have been a source of theoretical and experimental investigations for many years [1][2][3][4][5][6][7][8][9]. There are also many other correlative researches [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Ishimaru [1] used spectral analysis techniques to obtain expressions for the covariance and structure functions of log-amplitude and phase in locally homogeneous and isotropic turbulence.…”
Section: Introductionmentioning
confidence: 99%
“…However, the presence of speckles, a random granular appearance in images resulting from the interference of the coherent waves scattered from a rough object, degrades the image quality and leaves fine details irresolvable [1][2][3]. Although the speckles in the patterns have been successfully applied to identify fine features of objects [3,4], suppression of speckles has been a critical issue and has been widely studied in coherent imaging. Numerous methods have been proposed to reduce speckle noise: using a source of multiple wavelengths, inserting a moving (vibrating or rotating) diffuser or ground glass, coupling with a vibrating multimode fiber, moving an optical aperture in the Fourier plane, and spatial averaging in the detection plane (Readers may refer to references [3] and [5] for critical reviews and categorization of the speckle suppression methods).…”
Section: Introductionmentioning
confidence: 99%