Rough-fuzzy granularity in the study of optical phenomena
Ana Lucía Dai Pra, Lucía Isabel Passoni · International Joint Conference on Artificial Intelligence · 2015
Granular computing deals with information representation in the form of a number of entities or information granules. Information granules are made up of a collection of entities, usually of numeric level, joined due to their similarity, functional adjacency, indistinguishability, coherence or alikeness. The granular computing is associated to sets concepts, such as fuzzy sets, rough sets, intervals. In this work is considered the application of Rough-Fuzzy Granularity to the detection of optical phenomena in registered videos. Basically these phenomena are dynamic laser speckle and ecography videos.