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segmentation process » fermentation process (Expander búsqueda), cementation process (Expander búsqueda), termination process (Expander búsqueda)
object segmentation » object orientation (Expander búsqueda), directo segmentacion (Expander búsqueda)
segmentation process » fermentation process (Expander búsqueda), cementation process (Expander búsqueda), termination process (Expander búsqueda)
object segmentation » object orientation (Expander búsqueda), directo segmentacion (Expander búsqueda)
1
artículo
Publicado 2020
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Over the last years, Convolutional Neural Networks have been extensively used for solving problems such as image classification, object segmentation, and object detection. However, deep neural networks require a great deal of data correctly labeled in order to perform properly. Generally, generation and labeling processes are carried out by recruiting people to label the data manually. To overcome this problem, many researchers have studied the use of data generated automatically by a renderer. To the best of our knowledge, most of this research was conducted for general-purpose domains but not for specific ones. This paper presents a methodology to generate synthetic data and train a deep learning model for the segmentation of pieces of machinery. For doing so, we built a computer graphics synthetic 3D scenery with the 3D models of real pieces of machinery for rendering and capturing vi...
2
objeto de conferencia
Publicado 2018
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The authors would like to thank Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnol ´ ogica ´ , Peru (CONCYTEC), Fondo Nacional de Desarrollo Cient´ıfico y Tecnologico ´ , Peru (FONDECYT) for the financial support; and Autoridad Nacional del Agua, Peru (ANA) for providing the satellite images.
3
objeto de conferencia
A digital image may contain objects that can be made up of multiple regions concerning different material properties, physical or chemical attributes. Thus, segmented simplicial meshes with non-manifold boundaries are generated to represent the partitioned regions. We focus on repairing non-manifold boundaries. Current methods modify the topology, geometry or both, using their own data structures. The problem of modifying the topology is that if the mesh has to be post-processed, for instance with the Delaunay refinement, the mesh becomes unsuitable. In this paper, we propose alternatives to repair non-manifold boundaries of segmented simplicial meshes, among them is the Delaunay based one, we use common data structures and only consider 2 and 3 dimensions. We developed algorithms for this purpose, composed of the following tools: relabeling, point insertion and simulated annealing. Thes...
4
objeto de conferencia
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to inhomogeneity of characteristics. Furthermore, many algorithms such us FCM, PFCM, FCC, FWCM and modification aim to solve these problems by integrating spacial information. This process is carried through the analysis of the sample's neighborhood. This paper proposes the integration of the sample presence probability into a ”term” like form inside the existent model NFCC. This algorithm presents the basic steps for fuzzy clustering. With a middle variant that integrates the measure between each sample to all the centroids, this replaces the existent term by a new term. This new term integrates the spatial relationship between each sample of the multispectral image into ...
5
tesis de maestría
A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided. Moreover, a Convolutional Neural Network (CNN) is a type of sophisticated neural network that has shown to efficiently learn tasks related to the area of image analysis (among other areas). One example of these tasks is image segmentation, which aims to find regions or separable objects within an image. A more specific type of segmentation called semantic segmentation, makes sure that each region has a semantic meaning by giving it a label or class. Since neural networks can automate the task of semantic segmentation of images, they have been very useful for the medical area, applying them to the segmentation of organs or abnormalities (tumors). Therefore, this thesis project seeks to address the task of semantic segmentation of ...
6
tesis de grado
El desarrollo de técnicas matemáticas para mejorar la visualización de imágenes médicas DICOM, mediante segmentación y procesamiento morfológico es el principal objetivo del presente proyecto de tesis. Para lograr este fin, se recopilaron imágenes médicas de un Tomógrafo Computarizado en diferentes estudios especializados de UROTEM, Tórax y de Cerebro, los cuales fueron procesados mediante algoritmos matemáticos desarrollados en el software Matlab. En el primer capítulo se plantea el problema; la necesidad de un post procesamiento de imágenes médicas, se fundamenta la importancia de esta investigación y se identifican los objetivos a lograr, así como también, se describen los antecedentes de esta investigación. Como marco teórico, en el segundo capítulo, se explica brevemente el funcionamiento de un Tomógrafo Computarizado, la adquisición de una imagen y el desarro...
7
artículo
Publicado 2020
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Remote sensing is widely used to monitor earth surfaces with the main objective of extracting information from it. Such is the case of water surface, which is one of the most affected extensions when flood events occur, and its monitoring helps in the analysis of detecting such affected areas, considering that adequately defining water surfaces is one of the biggest problems that Peruvian authorities are concerned with. In this regard, semiautomatic mapping methods improve this monitoring, but this process remains a time-consuming task and into the subjectivity of the experts.In this work, we present a new approach for segmenting water surfaces from satellite images based on the application of convolutional neural networks. First, we explore the application of a U-Net model and then a transfer knowledge-based model. Our results show that both approaches are comparable when trained using ...
8
tesis de maestría
Publicado 2018
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Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN) for object detection in the Imagenet Large Scale Visual Recognition Competition (ILSVRC), its use for image detection and classification has increased, becoming the state-of-the-art for such task, being Faster R-CNN the preferred model in the latest ILSVRC challenges. Moreover, the Faster R-CNN model, with minimum modifications, has been succesfully used to detect and classify objects (either static or dynamic) in video sequences; in such setup, the frames of the video are input “as is” i.e. without any pre-processing. In this thesis work we propose to use Robust PCA (RPCA, a.k.a. Principal...
9
tesis de maestría
Publicado 2018
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Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN) for object detection in the Imagenet Large Scale Visual Recognition Competition (ILSVRC), its use for image detection and classification has increased, becoming the state-of-the-art for such task, being Faster R-CNN the preferred model in the latest ILSVRC challenges. Moreover, the Faster R-CNN model, with minimum modifications, has been succesfully used to detect and classify objects (either static or dynamic) in video sequences; in such setup, the frames of the video are input “as is” i.e. without any pre-processing. In this thesis work we propose to use Robust PCA (RPCA, a.k.a. Principal...
10
artículo
Publicado 2022
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“The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 d...
11
artículo
Publicado 2022
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“The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 d...
12
artículo
Publicado 2022
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The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 diff...
13
artículo
Publicado 2022
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The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decision-making by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 dif...
14
artículo
Publicado 2022
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The objective of the study was to examine the relevance of fintech in the process of financial inclusion in Peru. The analysis was descriptive and was carried out through a documentary review. The scope of the investigation found that fintech companies aim to serve segments not covered by traditional banking and have great development potential, as a result of the advantages of digitization and the use of innovation, open banking trends, and a cooperative model. Likewise, these companies face obstacles that have prevented further progress in financial inclusion, such as the absence of financial products that meet the needs and the high operational costs compared to the low profit margins, which represent the traditional assistance given to those of excluded segments. In conclusion, it is noted that Fintechs contribute to the process of financial inclusion in Peru by providing access to p...
15
artículo
Publicado 2020
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Objective: To evaluate the tomographic characteristics of the mineralization of the stylohyoid process by volu- metric computed tomography (CT). Material and Methods: reviewed 860 volumetric computed tomographies (593 correspond to the female sex and 267 to the male sex) of the Oral and Maxillofacial Radiology Service. The age range was between 6 to 89 years. The tomographic adequacy of the Langlais classification was used. The statistical analysis was performed using the chi-square test. Results: 289 MPE were found, bilateral mineraliza- tion prevailed (68.86%). The arithmetic average length of the MPE was 39.54 mm. The frequency of MPE was 33.60% (289 cases). It was found more frequently in the age group of 40 to 49 years, there was no significant difference between the female and male sex (p = 0.5367). In the classification of Langlais the most frequent type was the segmente...
16
tesis de grado
Publicado 2020
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La presente investigación “El marketing directo y su relación con la segmentación de mercado de la empresa distribuidora vea sueños E.I.R.L. Tarapoto, 2016.”, tiene como objetivo general determinar la relación entre el marketing directo y la segmentación de mercado de la empresa Distribuidora Vea Sueños, E.I.R.L. Tarapoto, 2016, para ello se tuvo una población conformada por 360 clientes, a los cuales se aplicaron las encuestas formuladas de acuerdo a los indicadores de cada variable, el diseño de investigación es correlacional. Se recolecto datos de la muestra para que posteriormente se puedan procesar los resultados recolectados en la investigación, se utilizó el coeficiente de correlación de Spearman para el cálculo de la correlación, obteniendo de esta manera los resultados de acuerdo a los objetivos; llegando a la conclusión final que si existe una relación dire...
17
objeto de conferencia
Publicado 2019
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Trabajo presentado en el 8th International Symposium on Andean Geodynamics (ISAG), realizado en Quito-Ecuador, del 24-26 setiembre, 2019. Evento organizado por el Instituto Geofísico, Escuela Politécnica Nacional (IG-EPN) del Ecuador, y el French Institut de Recherche pour le Développement (IRD).
18
artículo
Publicado 2023
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Brand co-creation is an increasingly ingrained consumer behavior and its effects on the purchasing process have become an object of study. However, the link between perceived brand value and co-creation is still little known. This study principally aims to delve into the relationship between perceived brand and the act of co-creation through eWOM, that is, consumers’ recommendations, comments, and participation on the Internet. The research implements a descriptive and explanatory cross-sectional study design through a sample of 1,521 consumers. Information collection was carried out through an ad hoc online questionnaire focused on co-creation attitudes and perceived brand value and found a sufficiently solid link to affirm that there is a relationship between them. We also differentiated three types of behavior and attitudes towards the co-creation process that consumers develop, as ...
19
tesis de grado
Publicado 2023
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En el presente trabajo se trabajará con la Asociación Cultural de Servicios Educativos - TANGRAM, fundada en el Perú en el año 1996. Sus servicios se encuentran dirigidos a niños y adolescentes de 5 a 16 más alta calidad de los servicios que se ofrecen a cada padre de familia que los desee contratar, de la misma manera se busca dar a conocer más la marca y mejorar el posicionamiento de la marca en el mercado entre sus competidores. Con todo ello, lo que se busca es aumentar la cantidad de alumnos que utilicen los servicios ofrecidos para que de esa forma se aumenten las ventas y el alcance que tiene la empresa.El cual tiene como objetivo principal el brindar la más alta calidad de los servicios que ofrecemos a cada padre de familia que desee contratar nuestros servicios, de la misma manera se busca dar a conocer más la marca y mejorar el posicionamiento de la marca en el mercado...
20
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...
