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Vascular disease is characterized by any condition that affects the circulatory system. Recently, a demand for sophisticated software tools that can characterize the integrity and functional state of vascular networks from different vascular imaging modalities has appeared. Such tools face significant challenges such as: large datasets, similarity in(More)
This paper presents an analysis of a model for the coordination of multiple unmanned aerial vehicles (UAVs) using a swarm intelligence approach based on Particle Swarm Optimization. The model considers locomotion constraints, anti-collision mechanisms, ad hoc communication and environmental perception information from the UAVs sensors. We analyze the(More)
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in IV-OCT have demonstrated the importance of the bifurcation regions. Therefore, the development of an(More)
Hough Transform (HT) is a method for shape extraction that uses a parameter accumulator array. Based on the analysis of generic conic equation it is possible to establish a robust approach for conic shape identification in images if some aspects are respected. This paper introduces a unique methodology to detect any conic equation parameters using the HT(More)
Hough Transform (HT) is a method for shape extraction from images based on accumulator array of the most voted form. This paper introduces a unique methodology to detect any conic equation parameters using HT idea. Based on the analysis of generic conic equation it is observed that is possible to unify its identification on images if some aspects are(More)
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