Examinando por Materia "SEGMENTACION DE IMAGENES"
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- Proyecto final de GradoControlling face’s frame generation in StyleGAN’s latent space operations: modifying faces to deceive our memory(2022) Roca, Agustín; Britos, Nicolás Ignacio"Innocence Project is a non-profitable organization that works in reducing wrongful convictions. In collaboration with El Laboratorio de Sueño y Memoria from Instituto Tecnológico de Buenos Aires (ITBA), they are studying human memory in the context offace identification. They have a strong hypothesis stating that human memory heavily relies in face’s frame to recognize faces. If this is proved, it could mean that face recognition in police lineups couldn’t be trusted, as they may lead to wrongful convictions. This study uses experiments in order to try to prove this using faces with different properties, such as eyes size, but maintaining its frame as much as possible."
- Ponencia en CongresoDispersive waves in optical fibers with a zero-nonlinearity wavelength(2021-08) Sparapani, Alexis; Linale, N.; Grosz, Diego; Bonetti, Juan I.; Fierens, Pablo Ignacio; Hernández, Santiago M."We present results on dispersive waves radiated by solitons in the context of fibers with arbitrary frequency-dependent nonlinearities. In particular, we focus on the effect of a zero-nonlinearity wavelength within the spectral region of interest."
- Ponencia en CongresoEvaluación del error en la detección de puntos de borde en imágenes SAR polarimétricas(2017-04) Monferrán, Daniel; Gambini, Juliana; Frery, Alejandro C."El Radar de Apertura Sintética polarimétrico (PolSAR - Polarimentric Synthetic Aperture Radar) es ampliamente utilizado en teledetección porque permite capturar imágenes terrestres de alta resolución. La interpretación automática de imágenes PolSAR es una tarea muy difícil porque éstas contienen un gran volumen de información y además se encuentran contaminadas con ruido speckle. Las características de este ruido hacen necesario utilizar métodos estadísticos para el procesamiento digital de este tipo de imágenes. En esta línea de investigación se pretende evaluar el error que se comete al calcular las posiciones de los puntos de borde dentro de la imagen, utilizando la distribución Wishart compleja y experimentos de Montecarlo en imágenes PolSAR simuladas."
- PósterImágenes SAR polarimétricas: evaluación del error en la detección de puntos de borde(2017) Monferrán, Daniel; Gambini, Juliana; Frery, Alejandro C."El Radar de Apertura Sintética polarimétrico (PolSAR - Polarimentric Synthetic Aperture Radar) es ampliamente utilizado en teledetección porque permite capturar imágenes terrestres de alta resolución. La interpretación automática de imágenes PolSAR es una tarea muy difícil porque éstas contienen un gran volumen de información y además se encuentran contaminadas con ruido speckle. Las características de este ruido hacen necesario utilizar métodos estadísticos para el procesamiento digital de este tipo de imágenes. En esta línea de investigación se pretende evaluar el error que se comete al calcular las posiciones de los puntos de borde dentro de la imagen, utilizando la distribución Wishart compleja y experimentos de Montecarlo en imágenes PolSAR simuladas."
- Artículo de Publicación PeriódicaObject detection and statistical analysis of microscopy image sequences(2022) Hurovitz, Sasha Ivan; Chan, Debora; Ramele, Rodrigo; Gambini, Juliana"Confocal microscope images are wide useful in medical diagnosis and research. The automatic interpretation of this type of images is very important but it is a challenging endeavor in image processing area, since these images are heavily contaminated with noise, have low contrast and low resolution. This work deals with the problem of analyzing the penetration velocity of a chemotherapy drug in an ocular tumor called retinoblastoma. The primary retinoblastoma cells cultures are exposed to topotecan drug and the penetration evolution is documented by producing sequences of microscopy images. It is possible to quantify the penetration rate of topotecan drug because it produces fluorescence emission by laser excitation which is captured by the camera. In order to estimate the topotecan penetration time in the whole retinoblastoma cell culture, a procedure based on an active contour detection algorithm, a neural network classifier and a statistical model and its validation, is proposed. This new inference model allows to estimate the penetration time. Results show that the penetration mean time strongly depends on tumorsphere size and on chemotherapeutic treatment that the patient has previously received."
- Ponencia en CongresoSAR Image segmentation based on multifractal features(2019-09) Pacheco, Cristian; Gambini, Juliana; Delrieux, Claudio"Synthetic Aperture Radar (SAR) imaging is based on airborne or satellite active microwave sensors that can capture the earth surface by emitting a signal and receiving the backscattered signal that forms the resulting image. Since microwave radiation is not interfered by sunlight and can pass through clouds, SAR imagery can be generated oblivious to weather and daylight conditions. However, the active nature of the imaging process determines that SAR images are contaminated by an inherent speckle noise that may degrade significantly the quality and usefulness of the images, and specific noise-removal processes may also filter out relevant textural information. In this article, we propose a texture-based method that can be applied for region segmentation in SAR imagery. The method is based on local analysis of the multifractal spectrum and a clustering procedure. The outcomes obtained both with synthetic and real SAR images show better region segmentation results than with state-of-the-art proposals."
- Proyecto final de GradoSegmentación por medio del método Mean Shift: estado del arte(2017) Azarola, Ivana Martina; Gambini, Juliana"A lo largo de este documento se estudia el método de Mean Shift utilizando algunas imágenes de prueba en el procesamiento de imágenes".
- Ponencia en CongresoTime estimation of topotecan penetration in retinoblastoma cells through image sequence analysis(2020) Chan, Debora; Winter, Úrsula; Schaiquevich, Paula; Ramele, Rodrigo; Gambini, Juliana"Retinoblastoma is the most common intraocular tumor in childhood. Topotecan has been widely used as an antineoplastic agent for retinoblastoma treatment. Topotecan penetration into living tumorspheres is quantified using confocal microscopy. This fluorescent drug dyes the living tissue and it can be recorded in a sequence of images over a period of time. The effective penetration of the drug depends on culture characteristics and requires a very specific timing. This penetration time is calculated empirically by an expert. The purpose of this work is to offer a statistical model to automatically estimate the penetration time of topotecan in the cell, based on the information obtained from a sequence of tumorsphere images."