Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
In this paper we propose an automatic updating system for urban vector maps that is able to detect changes between the old dataset (consisting of both vector and raster maps) and t...
S. Ceresola, Andrea Fusiello, Manuele Bicego, Albe...
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
This paper presents a novel level set approach to simultaneous tissue segmentation and bias correction of Magnetic Resonance Imaging (MRI) images. We first model the distribution ...
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...