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Some algorithms use a combination of Canny edge detection and the Hough transform to detect the sea-skyline; this approach has strong robustness [15, 16, 25, 26].
We apply the Hough transform to detect linked vertical edges.
Esfahani et al. [13] utilized the Hilbert-Huang transform to detect IM eccentricity fault.
Algorithm presented in [8] used the Hough transform to detect iris circle.
This paper employs wavelet transform to detect the location of tooth defects in a gear system with high accuracy.
The other points were derived from the imfindcircles function in MATLAB, which uses the circular Hough transform to detect the circular portions of the Landolt Cs.
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Finally, the use of sequential Karhunen Loeve transforms to detect train passages during the dynamic assessment is presented.
The theoretical models and the real world example showed that it is feasible and effective to use the generalized S-transform to detect the near-surface cavities.
In this paper, we describe a method for using wavelet transforms to detect coherent structures in the wind field.
Here, we integrate aerial photographs with high spatial resolution satellite imagery and use a discrete wavelet transform to objectively detect the dynamics in bush encroachment at two protected Zimbabwean savanna sites.
FD-OCT achieves the depth resolved imaging through applying fast Fourier transform to the detected spectral interferogram [ 5, 6], without the need of mechanical scanning.
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