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data image » data age (Expander búsqueda), data mate (Expander búsqueda), data linkage (Expander búsqueda)
del data » del datem (Expander búsqueda), del dano (Expander búsqueda)
1
artículo
Publicado 2013
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This work is focused on the modeling and development of a CBIR (Content-based image retrieval) system applied to the recovery of digital medical images of a human body, denominated M-CBIR. This model is composed on two methodologies: features extraction techniques and metric data structures. When this set of techniques is applied to the search of different human body regions, it can retrieve the most relevant similar images to a query image. A real database of medical images composed of 772 medical studies was used to compare the robustness of the extraction techniques and evaluate the performance of the system, through four different extractors. The objective of this work will result in a digital atlas of human body for medical radiological center. Finally, analysis and conclusions are also discussed.
2
tesis de grado
Publicado 2021
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Las enfermedades parasitarias gastrointestinales representan un problema latente en los países en desarrollo; es necesario crear herramientas de apoyo para el diagnóstico médico de estas enfermedades, se requiere automatizar tareas como la clasificación de muestras de los parásitos causantes obtenidas a través del microscopio utilizando métodos como el aprendizaje profundo. Sin embargo, estos métodos requieren grandes cantidades de datos. Actualmente, la recolección de estas imágenes representa un procedimiento complejo, importante consumo de recursos y largos períodos. Por tanto, es necesario proponer una solución computacional a este problema. En este trabajo se presenta un enfoque para generar conjuntos de imágenes sintéticas de 8 especies de parásitos, utilizando Redes Generativas Adversarias Convolucionales Profundas (DCGAN). Además, buscando mejores resultados, se a...
3
artículo
Publicado 2021
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The purpose of this study is to implement the OC2 and OC3 algorithms to estimate the concentration of surface chlorophyll-a (CCA) from image data from the OLI sensor aboard the Landsat-8 satellite. The LaSRC (Landsat 8 Surface Reflectance Code) atmospheric correction model was validated with on-site measurements of the reflectance of the water surface recorded with a spectroradiometer on the surface of the fan shell crop area of the Sechura Bay. Validation results in a linear correlation coefficient of R = 95.1 % and a mean square error RMSE = 0.0095. A comparison of the CCA derived from the OC2 and OC3 algorithms was also made, resulting in an RMSE = 0.145 mg/m3 and a correlation coecient of R = 99 %. Finally, a contrast was made of the histograms of the spatial distribution of the CCA estimated from the OC2 and OC3 algorithms over a region of the study area. The results indicate a grea...
4
artículo
Publicado 2005
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A Schlumberger resistivity record was made over an area of 50 hectares. A new field of processes based on the analytical signal response of the resistivity data was tested in the presence of disturbed phosphate deposits. Geology models were successively obtained from a peak model of the 2D resistivity data. The optimization of the imaging process was based on the optimization of surface tools. The descending analytical extension of the modeled surface over a depth of 30 meters was used for optimization of the modeling. The analytical processes found were consistently useful. The optimization of the phosphate reserve was improved and better constructed.
5
artículo
Publicado 2020
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The validation of the Sea Surface Temperature (SST) estimated from images of the MODIS and VIIRS sensors has been carried out, for the study area delimited between the longitudes of 83o - 80oW and latitudes of 3o - 7oS respectively, in the period from 2001 to 2016 with data from the SST in-situ. Likewise, the monthly average data of the Concentration of Chlorophyll-a (CCA) and TSM VIIRS for the Sechura Bay, in the period from 2012 to 2018, have been related. The in-situ data of TSM are registered by IMARPE, (2000 - 2015). The daily and monthly CCA and TSM images for the study area are obtained from the Ocean Color portal. SeaDAS version 7.5.3 image processing software has been used on Linux Ubuntu 16.04 with netcdf format. The monthly averages of SST-MODIS and the in-situ SST at the Paita station present a correlation coefficient R = 0.96, so we can propose its use in models of oceanogra...
6
artículo
Publicado 2024
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The aim of the study is to describe the images that accompanied information about the Covid-19 pandemic, vaccination and treatment of the virus in the following digital news media: ABC, Deia, EITB.eus, El Correo, elDiario.es, El Mundo, La Razón, La Vanguardia, Naiz and Público (2020-2022). A sample of 15,654 single images was studied, of which 15 clusters were identified with Artificial Intelligence techniques, including the algorithm Inception V3. The analysis is based on the combined use of a series of innovative techniques within the field of Communication. This methodology involves a large data set of images, along with the use of AI techniques such as embeddings. We opted for an unsupervised strategy, typical of exploratory and inductive research. Among the results, the identification of different typologies of images used by the medical and health-oriented media, representat...
7
objeto de conferencia
Publicado 2017
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The present study proposes a method of automatic detection of tuberculosis (TB) bacilli from digital images of Ziehl Neelsen sputum smear baciloscopy. The method is based on an algorithm that aims to automate the interpretation of optical microscopic images of sputum smears. According to the World Health Organization (WHO), a specialist can not analyze and process more than 20 samples per day (in order to not affect the analysis sensitivity and commit errors in diagnosis). Therefore, an automated tool as the proposed here, is an important contribution to the current efforts to fight tuberculosis. The algorithm is based on geometric eccentricity of ellipses and improvement of RGB component tones. Correspondence functions adjusted to sample preparation conditions were applied in order to improve the RGB primary component tones of the image. This allows to obtain an adequate segmentation of...
8
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
9
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
10
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
11
artículo
Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization techniques and synchronization, which is applied to image segmentation. In the results obtained, the parallel k-means algorithm, improvement 50% to the algorithm sequential k-means.
12
artículo
Publicado 2019
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This article seeks to analyze the legal bases of video surveillance, the state of the current unsystematic regulation in the Peruvian legal system and the first juridical-factual consequences that are emerging from its progressive application. In this way, the article begins with the study of the protection of the image of the person, with special attention to the phenomenon of video surveillance, from the point of view of Civil, Constitutional, Administrative and —even— Criminal law. Later, it studies the way in which the Legislator and —in other cases— the Executive have established the specific and particular rules on video surveillance in Peru at the national level. Finally, it continues with the description and analysis of some of the factual assumptions that have been challenging Peruvian authorities; among which we have the use of video surveillance as a method of mon...
13
artículo
Publicado 2019
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This article seeks to analyze the legal bases of video surveillance, the state of the current unsystematic regulation in the Peruvian legal system and the first juridical-factual consequences that are emerging from its progressive application. In this way, the article begins with the study of the protection of the image of the person, with special attention to the phenomenon of video surveillance, from the point of view of Civil, Constitutional, Administrative and —even— Criminal law. Later, it studies the way in which the Legislator and —in other cases— the Executive have established the specific and particular rules on video surveillance in Peru at the national level. Finally, it continues with the description and analysis of some of the factual assumptions that have been challenging Peruvian authorities; among which we have the use of video surveillance as a method of mon...
14
artículo
A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields.
15
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.
16
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.
17
artículo
Publicado 2020
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The research aimed to characterize the image of youth shown in television advertising from Peru, defining the role assigned to young people in the advertising pieces of Peruvian television. The study, of basic type and simple descriptive design, took a sample of 100 advertising spots, broadcast during the months of July, August and September 2019. A youth image content analysis sheet, designed for the study, was applied as a data collection instrument. It was found that, predominantly, advertising shows young people of Caucasian and athletic phenotype and that stand out for their physical attractiveness, with roles of beauty, body care and the image itself, having pleasure as the main objective. It is concluded that the image of youth in national television advertising is discriminatory in the phenotype it represents; superficial and hedonistic, in the assigned roles, and homogenizing, i...
18
tesis de maestría
El ultrasonido cuantitativo (QUS, por sus siglas en inglés) es una modalidad de imagen no invasiva que caracteriza numéricamente los tejidos para el diagnóstico médico. Los estimadores QUS se basan en parámetros acústicos como la pendiente del coeficiente de atenuación (ACS, por sus siglas en inglés). Un estudio anterior propuso eliminar el ruido de las relaciones logarítmicas espectrales utilizando una variación total de un solo canal a través de la frecuencia. El método espectral para estimar el ACS, conocido como diferencia logarítmica espectral (SLD, por sus siglas en inglés) no incorpora ninguna estrategia de reconstrucción conjunta para mejorar la imagen. Por lo tanto, este trabajo propone la integración de dos estrategias conjuntas compatibles con el marco SLD. Primero, un enfoque de regularización conjunta denominado variación total nuclear (TNV-SLD) es implemen...
19
tesis de maestría
El ultrasonido cuantitativo (QUS, por sus siglas en inglés) es una modalidad de imagen no invasiva que caracteriza numéricamente los tejidos para el diagnóstico médico. Los estimadores QUS se basan en parámetros acústicos como la pendiente del coeficiente de atenuación (ACS, por sus siglas en inglés). Un estudio anterior propuso eliminar el ruido de las relaciones logarítmicas espectrales utilizando una variación total de un solo canal a través de la frecuencia. El método espectral para estimar el ACS, conocido como diferencia logarítmica espectral (SLD, por sus siglas en inglés) no incorpora ninguna estrategia de reconstrucción conjunta para mejorar la imagen. Por lo tanto, este trabajo propone la integración de dos estrategias conjuntas compatibles con el marco SLD. Primero, un enfoque de regularización conjunta denominado variación total nuclear (TNV-SLD) es implemen...
20
artículo
Publicado 2025
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Remote sensing is essential in precision agriculture as this approach provides high-resolution information on the soil's physical and chemical parameters for detailed decision making. Globally, technologies such as remote sensing and machine learning are increasingly being used to infer these parameters. This study evaluates soil fertility changes and compares them with previous fertilization inputs using high-resolution multispectral imagery and in situ measurements. A UAV-captured image was used to predict the spatial distribution of soil parameters, generating fourteen spectral indices and a digital surface model (DSM) from 103 soil plots across 49.83 hectares. Machine learning algorithms, including classification and regression trees (CART) and random forest (RF), modeled the soil parameters (N-ppm, P-ppm, K-ppm, OM%, and EC-mS/m). The RF model outperformed others, with R² values of...
