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BUBBLE RECOGNITION FROM IMAGE SEQUENCES Dachuan Cheng and Hans Burkhardt
 

Summary: BUBBLE RECOGNITION FROM IMAGE SEQUENCES
Da­chuan Cheng and Hans Burkhardt
Institute for Pattern Recognition and Image Processing
Computer Science Department, Freiburg University, 79110 Freiburg, Germany
http://lmb.informatik.uni­freiburg.de/
cheng, burkhardt@informatik.uni­freiburg.de
ABSTRACT
In this paper, we present an algorithm which can automatically recognize vapor bubbles in a seething liquid from an image sequence.
The image sequences were taken with a high­speed video camera with one thousand images pro­second. Our algorithm was divided into
two steps: the background image identification and the bubble recognition. In the first step, the technique for auto­focus was applied for
the determination of the background image. In the second step, the snake technique was implemented for the bubble recognition. After the
bubble identification, some important parameters such as the bubble size, nucleation sites, and bubble formation frequency can be
calculated. These parameters are important in developing the heat transfer theory in boiling.
Keywords: bubble recognition, snakes.
1. INTRODUCTION
The aim of our cooperating research group [1­2] is to
develop a general theory on heat transfer in boiling.
Subsequently, some parameters such as the nucleation sites
where the bubbles are generated, the size of the generated
bubbles, and the frequency of bubble generation in a

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences