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1
artículo
The development of a Virtual Lab to perform experiments on histogram-based binarization of grey-leveled images is reported. With the aim of automatizing the binarization process, a Heuristic Binarization Threshold is introduced. Once the histogram of a grayscale input image is obtained, the module calculates a Heuristic Threshold by taking the weighted average of the foreground grey levels of the image. Next those pixels in input image whose grey levels are above this threshold are highlighted. Although still not experimentally optimum, this heuristic threshold provides a first approximation towards automatic binarization of greyscale images.
2
artículo
Publicado 2014
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The creation of a Virtual Lab, integrated and interactive software, to perform histogram-based binarization of gray scaled images is reported. In an attempt to optimize the binarization the developed virtual lab introduces a Heuristic Binarization Threshold. At processing time, the module extracts the histogram of the input gray scaled image, and then a Heuristic Threshold is calculated by taking the weighted average of the foreground grey levels of the image. Next those pixels in input image whose grey levels are above this threshold are highlighted. Although still not experimentally optimum, this heuristic threshold provides a first approximation towards automatic optimum binarization of grey scaled images. For comparison purposes when an input image is operated on by the binarization module, it is possible to visualize up to three different binarizations on screen simultaneously, each...
3
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
4
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
5
artículo
En los últimos años, en América Latina, se ha incrementado el número de movimientos ultraconservadores que buscan deslegitimar los logros de los movimientos feministas a favor de la igualdad y en contra de la violencia de género, a través de la promoción de discursos en contra del feminismo y las disidencias sexogenéricas. Este fenómeno está acompañado de campañas políticas, sociales y culturales que desacreditan nociones clave como el feminicidio, el cual representa la expresión más extrema de la violencia de género. En tal sentido, este artículo examina la producción y circulación de imágenes en medios de comunicación digitales y redes sociales sobre casos emblemáticos de feminicidios en Chile, con el objetivo de comprender cómo estas representaciones visuales contribuyen a deslegitimar el fenómeno y a erosionar los avances del movimiento feminista por parte de ...
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7
artículo
Publicado 2025
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La tuberculosis es una enfermedad antigua y que actualmente sigue afectando a nivel mundial. Es la segunda enfermedad infecciosa más mortífera del mundo superada únicamente por la Covid, según la Organización Mundial de la Salud. Debido a esto, se propone un enfoque para la detección tuberculosis a través de imágenes de radiografías de tórax, aplicando dos modelos de Deep learning más utilizadas en la literatura: “Mobilenet” y “Resnet-50” y una “CNN sin arquitectura predefinida”. El enfoque se desarrolla en 4 fases: (1) Adquisición del dataset, (2) desarrollo de los modelos mencionados, (3) la evaluación del desempeño y (4) análisis de resultados. El dataset está conformado por 1,158 imágenes de radiografías de tórax clasificadas en dos clases: “Normal” y “Tuberculosis”. Los resultados evidenciaron que el modelo “Resnet-50” tuvo un mejor rendimi...
8
artículo
Publicado 2023
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BACKGROUND AND OBJECTIVES: Traumatic brain injury (TBI) is a major global public health problem. It is a leading cause of death and disability in children and adolescents worldwide. Although increased intracranial pressure (ICP) is common and associated with death and poor outcome after pediatric TBI, the efficacy of current ICP-based management remains controversial. We intend to provide Class I evidence testing the efficacy of a protocol based on current ICP monitor-based management vs care based on imaging and clinical examination without ICP monitoring in pediatric severe TBI. METHODS: A phase III, multicenter, parallel-group, randomized superiority trial performed in intensive care units in Central and South America to determine the impact on 6-month outcome of children aged 1-12 years with severe TBI (age-Appropriate Glasgow Coma Scale score ?8) randomized to ICP-based or non-ICP-b...
9
tesis de maestría
Digital inpainting es el arte de llenar partes perdidas o deterioradas de imágenes o videos en una forma que no es perceptible por un observador ordinario. Artefacto es cualquier error en la representación de la información introducida por el equipo o técnica involucrada. La reducción de artefactos se considera un tema crítico en la investigación y desarrollo de rayos X CT. Nuestro enfoque es obtener una reducción de artefacto de metal (MAR), mediante la comparación de 2D inpainting resultados en el dominio de la proyección y sinogram. Nuestras imágenes CT provienen de CIVA (simulación), SkyScan2011, PerkinElmer (experimental). En primer lugar, probamos ocho algoritmos de inpainting: Variación Total (TV), Curvature Driven Diffusion (CDD), Mean Curvature Diffusion (MCD), Euler's Elastica, Morphologic Rotation Invariant (MRI), Fast Marching Method (FMM), Anisotropic Diffusion-...
10
artículo
Publicado 2021
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Moderate resolution imagery (MODIS) data from the Normalized Difference Vegetation Index (NDVI) can be used to estimate aboveground biomass at large spatial scales; however, validation of the information with fieldwork is required to make more accurate grassland vegetation predictions. The study was conducted in three districts of the central highlands of Peru. In total, 153 grass samples (high grassland and low grassland) were collected after reading NDVI in situ within a pixel of 250x250 m, with a frequency of three months during a three year period. Satellite images were downloaded from the MODIS sensor to obtain the NDVI. The NDVI-MODIS values were calibrated with the NDVI registered in situ, using regression models. The calibrated equations modelled the dynamic trends of vegetation between 2000 and 2018 for the central highlands. The NDVI in situ of the low grassland ranged between ...
11
artículo
Publicado 2025
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Dental cavities represent a significant global health challenge, particularly in low-and middle-income countries, where early detection and diagnosis can substantially improve clinical outcomes. This study presents the development of a mobile application that utilizes YOLOv7 to detect early carious lesions on intraoral images, intending to provide dental professionals with a tool for timely diagnosis and intervention. The research was carried out in three key phases: analysis of YOLOv7, system development, and validation. The application was trained in a real clinical environment in Peru in collaboration with two independent dentists and their patients in two private clinics. Intraoral images were collected and processed from 40 participants, ensuring complete adherence to the ethical and privacy standards required for clinical studies. The experimental results demonstrated that the appl...
12
artículo
The aim of this study is to offer a profile detector of the falsifications that could be done to the MMPI-2. We propose minimal changes in the reversed order of the direct punctuations of L y K and the addition of four new specific scales: Odecp, Ds-r, S, F-K. Two groups were used: a control group, composed by normal and clinical subgroups who answered to the MMPI-2 according to standard procedure, and an experimental group, composed by three subgroups with different answer instructions: to give a good image, a bad image or an inconsistent answer. The result is a profile with the proposed scales of validity that initially allow the detection of different falsifications by the subjects when answering the MMPI-2 test.
13
artículo
Publicado 2012
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An algorithm to select a set of pixels above a predefined grey-level threshold from an image, extract it and transfer it to another image is presented; the result is a restricted overlapping of images, based on the Controlled (modulated) image difference technique. In some applications this thresholded overlapping may be an option to consider when the aim is the mixture of images.
14
artículo
Publicado 2022
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Advances in biomedical technology have increased the success rate of medical procedures due to improvements in safety and efficacy. During the assessment of patients with acute neurological disorder who require a lumbar puncture, some conditions may hinder its performance, such as infection at the puncture site or bone abnormalities that may cause spinal cord injury. Bedside ultrasound is a good alternative to assist in the performance of a puncture, due to its ability to examine structures that cannot be assessed by physical examination. In primary health care centers, where there may be obstacles that prevent access to expensive imaging tools, ultrasound is a cost-effective option in the approach to urgent pathologies. In view of the foregoing, this paper aims to review important recent evidence-based concepts related to the use of ultrasound for the performance of a lumbar puncture.
15
artículo
Football, a highly popular sport all over the world, requires that professional footballers practice it on a field of play in ideal conditions, which, among other things, includes the usage and maintenance of healthy natural grass. In this study, we present an unsupervised allocator strategy for image analysis of football pitches that uses k-means clustering and color comparison to assess whether a playing field is in good or bad condition. Our approach considers proportions of dominant RGB colors for automatized decision-making. We developed a prototype and tested it with a series of images; this paper offers a comparison between the findings of this test and our expected results.
16
artículo
Football, a highly popular sport all over the world, requires that professional footballers practice it on a field of play in ideal conditions, which, among other things, includes the usage and maintenance of healthy natural grass. In this study, we present an unsupervised allocator strategy for image analysis of football pitches that uses k-means clustering and color comparison to assess whether a playing field is in good or bad condition. Our approach considers proportions of dominant RGB colors for automatized decision-making. We developed a prototype and tested it with a series of images; this paper offers a comparison between the findings of this test and our expected results.
17
artículo
Securing a reliable source of food for the ever-growingpopulation is one of the big challenges for humanity.Demand for aquatic foods will continue to grow andproduction process in aquaculture needs improvement. Alow-cost Internet of Things based system for monitoringhatching and growth of Rainbow trout (Oncorhynchusmykiss) is designed and implemented in a rural area in Peru.Three-layer architecture with sensors and underwatercamera based on raspberry pi, Wi-Fi and satelliteconnection to Internet sends data to cloud services forstorage and analysis. The system reduced drastically themanual and time-consuming monitoring tasks relatedto traditional aquaculture and the data collected will beused to establish optimal growth conditions parametersand future growth predictions.
18
tesis de grado
Publicado 2018
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El presente trabajo de investigación científica titulado: “Sistema Web para el proceso de control de proyectos para la empresa INNOVA IMAGE” tiene como objetivo principal Determinar la influencia de un sistema web en el proceso de control de proyectos en la empresa INNOVA IMAGE, para saber si se obtendrá mejoras o no en el proceso. El modelado del sistema web se realizó utilizando la metodología SCRUM por ser una metodología ágil, adaptable y ordenada. El software se desarrolló con el lenguaje de programación PHP, con los lenguajes de diseño y maquetación HTML, CSS y las validaciones con Java Script. Como base de datos se utilizó MySql. Los indicadores a medir en la presente investigación fueron, Índice de rendimiento del costo y Índice de rendimiento del cronograma. La población fue de 20 proyectos para ambos indicadores, y 20 proyectos de muestra también para ambos...
19
artículo
Publicado 2011
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An educational Virtual Lab, a software oriented to teaching and learning, applied to the study of the Thresholded Difference of grey-leveled images has been developed. This intuitively-easy-to-use Virtual Lab allows studying the threshold-controlled difference of two input images. Interesting results emerge when detecting the thresholded difference of pairs of images, like the effect appearing in the case of image subtraction of two completely different images, an effect setting up the basis for Controlled Image Fusion. Image difference algorithms belong to Digital Image Processing, a computer tool with every time more applications in science and in engineering.
20
artículo
Publicado 2011
Enlace
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An educational Virtual Lab, a software oriented to teaching and learning, applied to the study of the Thresholded Difference of grey-leveled images has been developed. This intuitively-easy-to-use Virtual Lab allows studying the threshold-controlled difference of two input images. Interesting results emerge when detecting the thresholded difference of pairs of images, like the effect appearing in the case of image subtraction of two completely different images, an effect setting up the basis for Controlled Image Fusion. Image difference algorithms belong to Digital Image Processing, a computer tool with every time more applications in science and in engineering.
