Application of gabor wavelet in Quantum Holography for image recognition

Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. As a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields emerged by the sparseness-enf...

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Main Authors: Tay, Nuo Wi, Loo, Chu Kiong, Perus, Mitja
Format: Article
Published: IGI Global 2010
Subjects:
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author Tay, Nuo Wi
Loo, Chu Kiong
Perus, Mitja
author_facet Tay, Nuo Wi
Loo, Chu Kiong
Perus, Mitja
author_sort Tay, Nuo Wi
collection UM
description Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. As a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields emerged by the sparseness-enforcing or infomax method, with sparseness-enforcing being more biologically plausible. This paper incorporates Gabor over-complete representation into Quantum Holography for image recognition tasks. Correlations are performed using sampled result from all frequencies as well as the optimum frequency. Correlation is also performed using only those points of least activity, which shows improvements in recognition. Analysis on the use of conjugation in reconstruction is provided. The authors also suggest improvements through iterative methods for reconstruction.
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spelling um.eprints-51932020-02-20T03:41:37Z http://eprints.um.edu.my/5193/ Application of gabor wavelet in Quantum Holography for image recognition Tay, Nuo Wi Loo, Chu Kiong Perus, Mitja T Technology (General) Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. As a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields emerged by the sparseness-enforcing or infomax method, with sparseness-enforcing being more biologically plausible. This paper incorporates Gabor over-complete representation into Quantum Holography for image recognition tasks. Correlations are performed using sampled result from all frequencies as well as the optimum frequency. Correlation is also performed using only those points of least activity, which shows improvements in recognition. Analysis on the use of conjugation in reconstruction is provided. The authors also suggest improvements through iterative methods for reconstruction. IGI Global 2010 Article PeerReviewed Tay, Nuo Wi and Loo, Chu Kiong and Perus, Mitja (2010) Application of gabor wavelet in Quantum Holography for image recognition. International Journal of Nanotechnology and Molecular Computation, 2 (1). pp. 44-61. ISSN 1941-6318, DOI https://doi.org/10.4018/jnmc.2010010104 <https://doi.org/10.4018/jnmc.2010010104>. http://www.igi-global.com/article/application-gabor-wavelet-quantum-holography/43062 doi:10.4018/jnmc.2010010104
spellingShingle T Technology (General)
Tay, Nuo Wi
Loo, Chu Kiong
Perus, Mitja
Application of gabor wavelet in Quantum Holography for image recognition
title Application of gabor wavelet in Quantum Holography for image recognition
title_full Application of gabor wavelet in Quantum Holography for image recognition
title_fullStr Application of gabor wavelet in Quantum Holography for image recognition
title_full_unstemmed Application of gabor wavelet in Quantum Holography for image recognition
title_short Application of gabor wavelet in Quantum Holography for image recognition
title_sort application of gabor wavelet in quantum holography for image recognition
topic T Technology (General)
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AT loochukiong applicationofgaborwaveletinquantumholographyforimagerecognition
AT perusmitja applicationofgaborwaveletinquantumholographyforimagerecognition