Dynamic speckle image segmentation using Self-Organizing Maps
- Dai Pra, Ana Lucia
- Meschino, Gustavo Javier
- Guzmán, Marcelo Nicolás
- Scandurra, Adriana Gabriela
- González, Anabel Mariela
- Weber, Christian
- Trivi, Marcelo Ricardo
- Rabal, Hector Jorge
- Passoni, Lucía Isabel
DOIAbstract
The aim of this work is to build a computational model able to automatically identify, after training, dynamic speckle pattern regions with similar properties. The process is carried out using a set of descriptors applied to the intensity variations with time in every pixel of a speckle image sequence. An image obtained by projecting a self-organized map is converted into regions of similar activity that can be easily distinguished. We propose a general procedure that could be applied to numerous situations. As examples we show different situations: (a) an activity test in a simplified situation; (b) a non-biological example and (c) biological active specimens. The results obtained are encouraging; they significantly improve upon those obta...
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