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Automatic regularization parameter selection for the total variation mixed noise image restoration framework
(Pontificia Universidad Católica del Perú, 2013-03-27)
Image restoration consists in recovering a high quality image estimate based only on
observations. This is considered an ill-posed inverse problem, which implies non-unique
unstable solutions. Regularization methods allow ...
Desarrollo y comparación de diversos mapas de probabilidades en 3D del cáncer de próstata a partir de imágenes de histología
(Pontificia Universidad Católica del Perú, 2013-12-04)
Understanding the spatial distribution of prostate cancer and how it changes according
to prostate specific antigen (PSA) values, Gleason score, and other clinical parameters may
help comprehend the disease and increase ...
3D updating of solid models based on local geometrical meshes applied to the reconstruction of ancient monumental structures
(Pontificia Universidad Católica del Perú, 2014-10-14)
We introduce a novel methodology for locally updating an existing 3D solid model of a complex monumental structure with the geometric information provided by a 3D mesh (point cloud) extracted from the digital survey of a ...
Evaluation of shear wave speed measurements using crawling waves sonoelastography and single tracking location acoustic radiation force impulse imaging
(Pontificia Universidad Católica del Perú, 2015-07-25)
Many pathological conditions are closely related with an increase in tissue sti ness.
For many years, experts performed manual palpation in order to measure elasticity changes, however, this method can only be applied on ...
Computationally inexpensive parallel parking supervisor based on video processing
(Pontificia Universidad Católica del Perú, 2013-12-05)
Parallel parking, in general, is a moderate difficulty maneuver. Moreover, for inexperienced
drivers, it can be a stressful situation that can lead to errors such as stay far from
the sidewalk or damage another vehicle ...
Multi-scale image inpainting with label selection based on local statistics
(Pontificia Universidad Católica del Perú, 2014-09-09)
We proposed a novel inpainting method where we use a multi-scale approach to speed
up the well-known Markov Random Field (MRF) based inpainting method. MRF based
inpainting methods are slow when compared with other ...
Backscatter coefficient estimation using highly focused ultrasound transducers
(Pontificia Universidad Católica del Perú, 2014-05-26)
The backscatter coefficient (BSC) is an intrinsic property that quantifies the amount of energy
that is reflected by a material as function of the ultrasound wave frequency. BSCs have been
proposed for decades for tissue ...
Corn crops identification using multispectral images from unmanned aircraft systems
(Pontificia Universidad Católica del Perú, 2019-04-08)
Climate change and migration of population from rural to urban areas are affecting the agricultural production around the world. This study was based in the particular department of Ancash - Peru where corn is one of the ...
Deep Learning for Semantic Segmentation versus Classification in Computational Pathology: Application to mitosis analysis in Breast Cancer grading
(Pontificia Universidad Católica del Perú, 2019-04-12)
Existing computational pathology approaches did not allow, yet, the emergence of effective/efficient computer-aided tools used as a second opinion for pathologists in the daily practice. Focusing on the case of computer-based ...
Efficient algorithms for convolutional dictionary learning via accelerated proximal gradient
(Pontificia Universidad Católica del Perú, 2019-04-05)
Convolutional sparse representations and convolutional dictionary learning are mathematical models
that consist in representing a whole signal or image as a sum of convolutions between dictionary filters
and coefficient ...