This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Abstract. Digital radiology leads to a growing amount of medical images which impose severe demands on networking and storage resources. These requirements can be met using content...
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect...
Some of the most successful algorithms for the automated segmentation of images use an Active Regions approach, where a curve is evolved so as to maximize the disparity of its int...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...