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Biomedical computer vision using computer algebra: Analysis of a case of rhinocerebral mucormycosis in a diabetic boy
(Springer Science + Business Media, 2010-01-01)
Computer algebra is applied to biomedical computer vision. Specifically certain biomedical images resulting from a case of rhinocerebral mucormysocis in a diabetic boy are analyzed using techniques in computational geometry ...
Regularización de problemas inversos e imágenes borrosas
(2010-05)
La restauración de imágenes consiste en recuperar, de la mejor manera posible la imagen original, a partir de su correspondiente imagen degradada (fotografía borrosa) y del conocimiento a priori de las causas de la ...
Redes neurais convolucionais para a recuperação das altas frequências em modelos de impedância acústica pós-inversão sísmica
(2019)
Na indústria de óleo e gás, a Inversão Sísmica é uma etapa de grande relevância para a caracterização dos reservatórios, pois é o processo pelo qual se obtém os modelos de propriedades de rocha na subsuperfície. Um aspecto ...
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation
(2013)
Retinal images are often degraded with a blur that varies across the gield view. Because traditional deblurring algorithms assume the blur to be space-invariant they typically fail in the presence of space-variant blur. ...
Blur parameter identification through optimum-path forest
(2017-01-01)
Image acquisition processes usually add some level of noise and degradation, thus causing common problems in image restoration. The restoration process depends on the knowledge about the degradation parameters, which is ...
Obtención automática de siluetas a partir de imágenes adquiridas en condiciones de iluminación no controlada
(Universidad Santo Tomás. Seccional Bucaramanga, 2012-07-07)
Tensor methods for low-level vision
(Academic Press Inc Elsevier Science, 2021)
Low-level vision is a processing system that plays an important role in human as well as in machine visual pattern recognition. It is often used to refer to information processing based on local visual features such as ...
Restoration of retinal images with space-variant blur
(2014)
Retinal images are essential clinical resources for the diagnosis of retinopathy and many other ocular diseases. Because of improper acquisition conditions or inherent optical aberrations in the eye, the images are often ...
Bayesian Filtering and Some Markovian Random Fields for Image Restoration
(ROPECIEEE, 2011-11)
The present work introduces an alternative method to deal with digital image restoration into a Bayesian framework, particularly, the use of a new half-quadratic function is proposed. The Bayesian methodology is based on ...