Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography

Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography

Highlights • An integrated image processing toolbox for retinal image analysis is proposed. • The system considers in a unified framework both fundal images and optical coherence tomography. • An adaptive-weighted bilateral filtering (AWBF) is proposed to reduce speckles. • The dual-tree complex wav...

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Veröffentlicht in:Computerized medical imaging and graphics 2014-09, Vol.38 (6), p.526-539
Hauptverfasser: Anantrasirichai, N, Nicholson, Lindsay, Morgan, James E, Erchova, Irina, Mortlock, Katie, North, Rachel V, Albon, Julie, Achim, Alin
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
Artificial intelligence
Bilateral filter
Biological and medical sciences
Computer science
control theory
systems
Despeckling
Detection, estimation, filtering, equalization, prediction
DT-CWT
Exact sciences and technology
Fundus Oculi
Humans
Image enhancement
Image Enhancement - methods
Image Interpretation, Computer-Assisted
Information, signal and communications theory
Internal Medicine
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Optic Nerve - anatomy & histology
Other
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Pattern recognition. Digital image processing. Computational geometry
Registration
Segmentation
Signal and communications theory
Signal, noise
Telecommunications and information theory
Tomography, Optical Coherence
Wavelet Analysis
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Beschreibung
Zusammenfassung:Highlights • An integrated image processing toolbox for retinal image analysis is proposed. • The system considers in a unified framework both fundal images and optical coherence tomography. • An adaptive-weighted bilateral filtering (AWBF) is proposed to reduce speckles. • The dual-tree complex wavelet transform is employed to improved OCT layer segmentation. • A novel technique for multimodal retinal image registration is proposed.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2014.06.012