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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 ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del Perú, 2019-05-16)
The increasing ubiquity of Convolutional Sparse Representation techniques for several image processing
tasks (such as object recognition and classification, as well as image denoising) has recently
sparked interest in ...
Soft tissue characterization using different quantitative ultrasound modalities
(Pontificia Universidad Católica del Perú, 2019-10-24)
Quantitative ultrasound has been used in several modalities for different experiments such as simulated
phantom, physical phantoms, ex vivo and in vivo tissues. The potential of the ultrasound techniques
could be useful ...
Novel Edge-Preserving Filtering Model Based on the Quadratic Envelope of the l0 Gradient Regularization
(Pontificia Universidad Católica del Perú, 2023-01-26)
In image processing, the l0 gradient regularization (l0-grad) is an inverse problem which penalizes the l0 norm of the reconstructed image’s gradient. Current state-of-the art algorithms for solving this problem are based ...
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 ...
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 ...
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 ...