We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
This paper describes a segmentation technique to automatically extract the myocardium in 4 0 cardiac M R images for quantitative cardiac analysis and the diagnosis of patients. Th...
Marie-Pierre Jolly, Nicolae Duta, Gareth Funka-Lea
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting ...