In several image applications, it is necessary to retrieve specific line segments born a potentially very large set. In this paper, we consider the problem of indexing straight li...
Digital visual libraries have currently available huge amounts of content in unstructured, nonindexed form. Since these collections keep growing fast, retrieving specific images i...
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
This report addresses the issues involved in developing a robust segmentation technique capable of finding the location and orientation of the cervical vertebrae in x-ray images. ...
Abraham Tezmol, Hamed Sari-Sarraf, Sunanda Mitra, ...