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Depth estimation from monocular images can be retrieved from the perspective distortion. One major e ect of this distortion is that a set of parallel lines in the real world converges into a single point in the image pla...

En este trabajo presentamos un nuevo método para procesar imágenes de Resonancia Magnética Funcional (IRMf) del cerebro. El nuevo procedimiento esta basado en aplicar difusión anisotrópica robusta (DAR) a imágenes ...

Este trabajo tuvo lugar en el marco de un proyecto de colaboración entre el LIDI (Laboratorio de Investigación y Desarrollo en Informática) del Departamento de Informática preteneciente a la Facultad de Ciencias Exac...

En los sistemas de control de tiempo real, tanto la velocidad de respuesta como la confiabilidad y la robustez son todos factores importantes. Si bien existen diversas técnicas en las cuales el proceso de threshold es l...

La gran variedad de material histórico y cultural almacenado en fotografías y películas antiguas corren peligro inminente de sufrir degradaciones y otras deformaciones relacionadas al paso del tiempo y factores ambien...

This work presents preliminary results of a method for semi-automatic detection of fat and hematopoietic cells as well as trabecular surfaces in bone marrow biopsies, in order to calculate the percentage of each type of ...

El análisis de imágenes puede revelar información útil para los usuarios El significativo aumento del uso de imágenes en diferentes campos de la ciencia, medicina, negocios, etc., requiere de mayor poder de procesam...

We propose a new universal objective image quality index, which is easy to calculate and applicable to various image processing applications. Instead of using traditional error summation methods, the proposed index is de...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

Presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the...

We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain. The new model, dubbed blind/referenceless image spatial qual...

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensi...

We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are lo...

Subjects / keywords: Software; Image (mathematics); Computer science; Data science; Image processing; Image analysis; Computer graphics (images); Computer vision; Digital image processing; Programming language

La investigación en análisis de imágenes y reconocimiento de patrones como auxilio al diagnóstico médico es ampliamente reconocida por su complejidad e importancia. En general, uno de los mayores problemas que pres...

En trabajos previos hemos diseñado y desarrollado un software para la optimización del procesamiento de imágenes multidimensionales, el cual consiste de un algoritmo automático de desconvolución de restauración (de...

Currently, Mathematical Morphology (MM) has become a powerful tool in Digital Image Processing (DIP). It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures. The techniqu...

The present paper poses a new method for computing the rotation of a ball in sport training situations, when the ball is approaching the goal line. The proposed method significantly reduces the hardware requirements asso...

Boundary extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Most of the segmentation techniques are based on the detection of the lo...

Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Features analysis of the carpal bones can reveal the important information for skeletal age assessment....

Segmentation in biological images is essential for the determination of biological parameters that allow the construction of models of several biological problems. This helps to establish clear relationships between thos...

Image and video processing of natural phenomena is one of the preferred non-invasive monitoring techniques for environmental studies that is, however, limited through the high cost of the required equipment and the limit...

Uno de los aspectos más difíciles de resolver cuando se realiza procesamiento de imágenes oculares en ambientes de diversas exposiciones lumínicas y con movimientos aleatorios de la cámara de captura, es el de homog...

This work is a pattern recognition application using digital images processing and neural networks, applied to the automatic recognition of car plates. There is a wide range of problems to be solved, which go from the s...