Methodology to detect patterns in fluid-flow images

Paulo Sergio S. Rodrigues; Arnaldo de Albuquerque Araujo; Marcos Pinotti Barbosa

doi:10.1117/12.360315

26 August 1999 Methodology to detect patterns in fluid-flow images

Paulo Sergio S. Rodrigues, Arnaldo de Albuquerque Araujo, Marcos Pinotti Barbosa

Proceedings Volume 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision; (1999) https://doi.org/10.1117/12.360315
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

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.

Citation Download Citation

Paulo Sergio S. Rodrigues, Arnaldo de Albuquerque Araujo, and Marcos Pinotti Barbosa "Methodology to detect patterns in fluid-flow images", Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); https://doi.org/10.1117/12.360315

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