Talita Perciano

Learn More
This paper presents a processing chain to combine a Cos-moSkyMed (CSK) image and a TerraSAR-X (TSX) image. After registration and calibration steps, processing at different levels is studied: pixel level for the detection of stable features and joint filtering, primitive level for stability analysis and object level (like roads) for joint interpretation.
Fibers provide exceptional strength-to-weight ratio capabilities when woven into ceramic composites, transforming them into materials with exceptional resistance to high temperature, and high strength combined with improved fracture toughness. Microcracks are inevitable when the material is under strain, which can be imaged using synchrotron X-ray computed(More)
Vibro-acoustography (VA) is an imaging modality that produces an image of the mechanical response of an object to a localized dynamic radiation force of an ultrasound field. This technique has been studied and used in clinical applications as to image calcification in breast tissue and arteries. This paper presents the application of restoration algorithms(More)
This work is subject to copyright. Ali rights are reserved, whether the whole or part of the material is concerned, specificalIy the rights of translation, reprinting, re-use of ilIustrations, recitation, broadcasting, rcproduction on rnicrofilms or in any other way, and storage in data banks. Duplication of this publication 111' parts Ihereof is perrnitted(More)
BACKGROUND The ever improving brightness of accelerator based sources is enabling novel observations and discoveries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality. RESULTS Here we present an integrated software/algorithmic framework designed to capitalize on high-throughput experiments through efficient(More)
Markov Random Field (MRF) algorithms are powerful tools in image analysis to explore contextual information of data. However, the application of these methods to large data means that alternative approaches must be found to circumvent the NP-hard complexity of the MRF optimization. We introduce a MRF-based framework that overcomes this issue by using graph(More)