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Listar por palabra clave "Image segmentation"

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Applications of Deep Leaning on Cardiac MRI: Design Approaches for a Computer Aided Diagnosis

Pérez Pelegrí, Manuel (Universitat Politècnica de València, 2023-04-27)

[ES] Las enfermedades cardiovasculares son una de las causas más predominantes de muerte y comorbilidad en los países desarrollados, por ello se han realizado grandes inversiones en las últimas décadas para producir ...
Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data

Vidal Pantaleoni, Ana; Moreno Cambroreno, María del Rocío (Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles, 2011-12)

Optical and microwave high spatial resolution images are now available for a wide range of applications. In this work, they have been applied for the semi-automatic change detection of isolated housing in agricultural ...
Chroma key visual feedback based on non-retroreflective polarized reflection in retroreflective screens

Vidal Rodriguez, Borja (Institute of Electrical and Electronics Engineers (IEEE), 2012-03)

A technique to provide immersive feedback on TV and video production studios employing chroma key video segmentation systems is analysed and demonstrated. The technique exploits the observation that polarized light is ...
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy

Shepherd, Tony; Teräs, Mika; Beichel, Reinhard R.; Boellaard, Ronald; Bruynooghe, Michel; Dicken, Volker; Gooding, Mark J.; Julyan, Peter J.; Lee, John A.; Lefèvre, Sébastien; Mix, Michael; Naranjo Ornedo, Valeriana; Wu, Xiaodong; Zaidi, Habib; Zeng,Ziming; Minn, Heikki (Institute of Electrical and Electronics Engineers (IEEE), 2012-11)

[EN] The impact of positron emission tomography (PET) on radiation therapy is held back by poor methods of defining functional volumes of interest. Many new software tools are being proposed for contouring target volumes ...
Desarrollo de un sistema de visión artificial para la búsqueda de raíz en máquina recolectora de ajos

Grafiá Pérez, Álvaro (Universitat Politècnica de València, 2021-01-13)

[ES] La inversión internacional en el desarrollo de proyectos que permitan mejoras en el rendimiento de procesos agrarios ha aumentado considerablemente en la última déca- da. A raíz de esto, el uso de nuevas tecnologías ...
Efficient Fire Segmentation for Internet-of-Things-Assisted Intelligent Transportation Systems

Muhammad, Khan; Ullah, Hayat; Khan, Salman; Hijji, Mohammad; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2023-11)

[EN] Rapid developments in deep learning (DL) and the Internet-of-Things (IoT) have enabled vision-based systems to efficiently detect fires at their early stage and avoid massive disasters. Implementing such IoT-driven ...
Evaluation of automatic building detection approaches combining high resolution images and LiDAR data

Hermosilla, T.; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Estornell Cremades, Javier (MDPI, 2011)

In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding-based and object-based classification. The ...
Experimental Evaluation of the Best Approach for Diesel Spray Images Segmentation

Macian Martinez, Vicente; Payri, Raul; García Martínez, Antonio; Bardi ., Michele (Society for Experimental Mechanics, 2011)

[EN] In this article, two of the most used methods for diesel spray macroscopic characterization are presented; the first one is the likelihood ratio test method (LRT) and the second one is the Otsu's thresholding method ...
Image Segmentation and 3D reconstruction for improved prediction of the sublimation rate during freeze drying

Capozzi, Luigi; Arsiccio, Andrea; Sparavigna, Amelia; Pisano, Roberto; Barresi, Antonello (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] In a freeze drying process, the freezing step determines the pore size distribution within the product, which, in turn, affects the sublimation rate. Traditionally, pore analysis is carried out on SEM images by means ...
Image segmentation of breakwater blocks by edge-base Hough transformation

Soares, Fernando; Barbon, Vinicius (Editorial Universitat Politècnica de València, 2023-01-27)

[EN] A rubble mound breakwater (BW) is a coastal engineering structure built for purposes of harbor protection in areas with severe wave regimes. Block displacements can lead to a weakening of the protection, making the ...
Improvements on automatic speech segmentation at the phonetic level

Gómez Adrian, Jon Ander; Calvo Lance, Marcos (Springer Verlag (Germany), 2011)

In this paper, we present some recent improvements in our automatic speech segmentation system, which only needs the speech signal and the phonetic sequence of each sentence of a corpus to be trained. It estimates a GMM ...
Mo.Se.: Mosaic image segmentation based on deep cascading learning

Felicetti, Andrea; Paolanti, Marina; Zingaretti, Primo; Pierdicca, Roberto; Malinverni, Eva Savina (Universitat Politècnica de València, 2021-01-19)

[EN] Mosaic is an ancient type of art used to create decorative images or patterns combining small components. A digital version of a mosaic can be useful for archaeologists, scholars and restorers who are interested in ...
Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images

Noorda, Reinier Alexander; Naranjo Ornedo, Valeriana; Pons, Vicente (Springer-Verlag, 2017)
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

Orlando, José Ignacio; Fu, Huazhu; Breda, Joao Barbossa; van Keer, Karel; Bathula, Deepti R.; Diaz-Pinto, Andrés; Fang, Ruogu; Heng, Pheng-Ann; Kim, Jeyoung; Lee, JoonHo; Lee, Joonseok; Li, Xiaoxiao; Liu, Peng; Lu, Shuai; Murugesan, Balamurali; Naranjo Ornedo, Valeriana (Elsevier, 2020-01)

[EN] Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. ...
Segmentación automática de estructuras cardíacas en imágenes médicas usando aprendizaje profundo

Marhuenda Tendero, Luis Jesús (Universitat Politècnica de València, 2024-10-14)

[ES] La detección de estructuras cardíacas a partir de imágenes médicas para su posterior análisis resulta fundamental para el diagnóstico de enfermedades coronarias. En el presente Trabajo de Fin de Máster se plantea el ...
Segmentación de tejidos cerebrales a partir de imágenes de resonancia magnética usando técnicas de Deep Learning

Casado Coscollá, Álvaro (Universitat Politècnica de València, 2020-10-13)

[ES] La segmentación de los tejidos intracraneales es muy útil para el análisis objetivo de muchas patologías neurológicas. Este proceso es típicamente realizado manualmente por expertos, lo que puede llevar mucho tiempo. ...
Segmentation methods for acne vulgaris images: Proposal of a new methodology applied to fluorescence images

Peris Fajarnes, Guillermo; Moncho-Santonja, María; Defez Garcia, Beatriz; Lengua, Ismael (Blackwell Publishing, 2020-09)

[EN] Background Acne vulgaris is one of the most common human pathologies worldwide. Its prevalence causes a high healthcare expenditure. Acne healthcare costs and effects on individuals' quality of life lead to the need ...
Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study

Moncho-Santonja, María; Aparisi-Navarro, Silvia; Defez Garcia, Beatriz; Peris Fajarnes, Guillermo (MDPI AG, 2023-05-17)

[EN] Abstract: Background: Acne vulgaris is the most common dermatological pathology worldwide. The currently used methodologies for the evaluation and monitoring of acne have been analyzed in several studies, highlighting ...
The reproducibility of a multimodal MRI tumor brain segmentation model applied to T1 data

Alonso Vázquez, Sara (Universitat Politècnica de València, 2023-10-20)

[ES] El diagnóstico y el tratamiento de los tumores cerebrales son áreas críticas de la investigación médica. La resonancia magnética (RM) es una herramienta para la detección y segmentación de tumores, pero la segmentación ...
Using Deep Learning based Computer Vision to detect changes on communication network infrastructures

Olivert Iserte, José Francisco (Universitat Politècnica de València, 2024-07-02)

[EN] Image segmentation using Deep Learning and Computer Vision models is a highly demanding task by companies today, as it has a wide range of real-world applications. This Bachelor's Thesis presents a solution for ...