Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the e...
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of i...
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,...
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Detection of malaria parasites in stained blood smears is critical for treatment of the disease. Automation of this process will help in reducing the time taken for diagnosis and ...