Techniques in Knowledge-Based Signal/Image Processing and Their Application in Geophysical Image Interpretation

Pitas, Ioannis; Kotropoulos, Constantine; Venetsanopoulos, A.N.

doi:10.1016/s0090-5267(96)80027-2

Cited by 1 publication

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lowpass filter methods can be used to remove high frequency noise in the interferogram. These methods include a spatial smoothing process and a data filter in the frequency domain [14]. In the experimental setup, the 8-bit resolution of the image sensor denotes digitally the interference intensity to be 0-255.…”

Section: Image Processingmentioning

confidence: 99%

See 1 more Smart Citation

Elimination of reference phase errors in phase-shifting interferometry

Li¹,

Zhu²,

Li³

2005

Meas. Sci. Technol.

View full text Add to dashboard Cite

Based on the analysis of phase evaluation algorithms in phase-shifting interferometry (PSI), a novel compensation algorithm for reference phase deviations has been proposed to reduce the linear and quadratic reference phase deviations using interferometry signals. The algorithm evaluates the accurate phase shifts at each step from the interferograms, and then calculates the exact phase difference between the interference beams based on these phase shifts. A numerical simulation was performed and gave evidence to support this novel method. Investigations were performed on a Twyman–Green interferometer for gauge calibration to verify this method. Additional 10% linear and 1% quadratic phase deviations were added on purpose in the phase shifter device. The experiment demonstrates that, for the four- and five-bucket phase evaluation algorithms, the phase errors caused by the linear and quadratic reference phase deviations can be eliminated significantly using the proposed compensation method.

show abstract

Section: Image Processingmentioning

confidence: 99%

“…The area of the interferogram can be reconstructed exactly using different methods [14]. The rectilinear-measure method to judge whether one point is in one area is illustrated in figure 4.…”

Section: Image Processingmentioning

confidence: 99%