Methodology to detect patterns in fluid-flow images
Paulo Sergio Rodrigues, Arnaldo de Albuquerque Araújo, Marcos P. Barbosa · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
We are interested in the development of an efficient computational visual system to study dynamic fluids and in this paper we present a methodology to detect patterns in flow-like images. These patterns are called in the Dynamical Systems theory critical points or single points. This method, like other previous methodologies presented in related literature, involves four steps: estimation of flow directions; detection of critical point candidates; matching of critical points; and critical points description according to the Dynamical Systems theory. To achieve the critical point class, node, saddle or center point, we use templates to match the patterns. The last step of the method in necessary only if we wish a numerical representation of the patterns. We ran the method over several real images of some fluid flow classes and present the results.