Classification by mathematical morphology
Pedro Pina, Teresa Barata · 2004
A general methodology that explores the geometric characteristics presented by the training sets of each class (size, shape and orientation) in feature space, without making explicitly any statistical hypothesis, is presented in this paper. The respective decision region borders are constructed automatically and provide higher classification rates.