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[KİTAP][B] Computer and machine vision: theory, algorithms, practicalities
ER Davies - 2012 - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …
Machine Vision) clearly and systematically presents the basic methodology of computer and …
Automated breast cancer detection and classification using ultrasound images: A survey
Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …
cause of the disease remains unknown, early detection and diagnosis is the key for breast …
Three-dimensional spatial compounding of ultrasound images
R Rohling, A Gee, L Berman - Medical Image Analysis, 1997 - Elsevier
One of the most promising applications of 3-D ultrasound lies in the visualization and
volume estimation of internal 3-D structures. Unfortunately, the quality of the ultrasound data …
volume estimation of internal 3-D structures. Unfortunately, the quality of the ultrasound data …
Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors
H Rabbani, M Vafadust… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Speckle noise is an inherent nature of ultrasound images, which may have negative effect
on image interpretation and diagnostic tasks. In this paper, we propose several multiscale …
on image interpretation and diagnostic tasks. In this paper, we propose several multiscale …
New maximum likelihood motion estimation schemes for noisy ultrasound images
B Cohen - Pattern Recognition, 2002 - Elsevier
When performing block-matching based motion estimation with the ML estimator, one would
try to match blocks from the two images, within a predefined search area. The estimated …
try to match blocks from the two images, within a predefined search area. The estimated …
Locally adaptive wavelet domain Bayesian processor for denoising medical ultrasound images using speckle modelling based on Rayleigh distribution
The authors present a statistical approach to speckle reduction in medical ultrasound B-scan
images based on maximum a posteriori (MAP) estimation in the wavelet domain. In this …
images based on maximum a posteriori (MAP) estimation in the wavelet domain. In this …
Three-dimensional ultrasound: from acquisition to visualization and from algorithms to systems
K Karadayi, R Managuli, Y Kim - IEEE Reviews in Biomedical …, 2009 - ieeexplore.ieee.org
One of the key additions to clinical ultrasound (US) systems during the last decade was the
incorporation of three-dimensional (3-D) imaging as a native mode. Compared to previous …
incorporation of three-dimensional (3-D) imaging as a native mode. Compared to previous …
Speckle noise reduction for optical coherence tomography
Optical coherence tomography (OCT) has shown great promise for non-invasive and contact-
less imaging of subsurface soft tissues. However, the problem of low image contrast caused …
less imaging of subsurface soft tissues. However, the problem of low image contrast caused …
Biased motion-adaptive temporal filtering for speckle reduction in echocardiography
Describes a new fully motion-adaptive spatio-temporal filtering technique to reduce the
speckle in ultrasound images. The advantages of this approach are demonstrated in …
speckle in ultrasound images. The advantages of this approach are demonstrated in …
Mean, median and mode filtering of images
LD Griffin - Proceedings of the Royal Society of London …, 2000 - royalsocietypublishing.org
If a two-dimensional image is simplified by repeatedly replacing its values with the mean in
an infinitesimal neighbourhood, it evolves according to the diffusion equation L t= Lxx+ Lyy …
an infinitesimal neighbourhood, it evolves according to the diffusion equation L t= Lxx+ Lyy …