Joint transform correlator that uses wavelet transforms

Lü, Xiaonan; Katz, A.; Kanterakis, E.G.; Caviris, Nicholas P.

doi:10.1364/ol.17.001700

Cited by 47 publications

(16 citation statements)

References 8 publications

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“…However, these methods all have drawbacks, like magnifying noise, inaccurate edge detection and so on. In this paper, we employed wavelet transform (WT) edge detection which can detect more detailed edges [16][17][18]. When the wavelet transform is applied in edge detection, its mother wavelet must be satisfied with compact support, symmetry and first order vanishing moment.…”

Section: The Principles Of Wavelet Edge Detectionmentioning

confidence: 99%

Measurement of sub-pixel image motion based on joint transform correlator

et al. 2014

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An effective approach to measure image motion is presented based on joint transform correlator(JTC), in order to measure the sub-pixel image motion caused by satellite attitude instability or vibration. Firstly, the high-speed CCD is used to capture image sequences, which are preprocessed by wavelet edge detection. Next the acquired image edge sequences are optically calculated by JTC, and an improved correlation peak is obtained. Lastly a modified centroid algorithm is proposed to get more accurate motion measurement. Motion measurement based on optical correlation is discussed, and the optical experiment system is also set up. The experimental results show that the measurement error is as low as 0.02 pixels, the accuracy is improved greatly.

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Section: The Principles Of Wavelet Edge Detectionmentioning

confidence: 99%

Measurement of sub-pixel image motion based on joint transform correlator

et al. 2014

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“…Acousto-optic systems can and have also produced optical Wi' outputs [22], but only for i-D input data. Crossed-grating optical systems [23] and joint transform correlators [24] have been used to produce optical WT outputs, but only for simple Logan wavelet functions or filter shapes in the frequency domain. Other work using frequency plane Logan WT filters exists [25].…”

Section: Gabor Wavelet Degree Of Freedom (Gwdof) Filtermentioning

confidence: 99%

<title>Optical laboratory implementation of advanced detection and distortion-invariant filters</title>

Casasent

Weber

et al. 1994

SPIE Proceedings

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This paper presents optical laboratory data on a number of new optical filter systems for: rank-order morphological filtering, morphological ternary phase amplitude filters, morphological hit-miss detection filters, Gabor detection filters and distortion-invariant detection filters. All filters and processing are performed on the same optical correlator architecture. This provides a general purpose multi-functional optical image processor for general scene analysis, capable of low-level vision, detection, and image enhancement operations.

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“…The wavelet transform (WT) is well known to be powerful technique for feature extraction. Recently, there have been a few schemes to improve the correlation performance by incorporating WT into JTC and taking advantage of the fact that the WT can detect and process multi-scale edge features of signals to be analyzed [8][9][10][11][12]. These joint WT correlators (JWTC) can perform feature extraction preprocessing and the correlation operation simultaneously.…”

Section: Introductionmentioning

confidence: 99%