Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
Abstract. In this note, we present a method for flattening anatomical surfaces such as branched vessels and intestinal tracts in an areapreserving way. This method is based on the ...
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
NASA’s satellites currently do not make use of advanced image compression techniques during data transmission to earth because of limitations in the available platforms. With th...
We present a novel 3-D scalable compression method for medical images with optimized volume of interest (VOI) coding. The method is presented within the framework of interactive te...
Victor Sanchez, Rafeef Abugharbieh, Panos Nasiopou...