Classification of atomic density distributions using scale invariant blob localization

Authors:
Kai Cordes;Oliver Topic;Manuel Scherer;Carsten Klempt;Bodo Rosenhahn;Jörn Ostermann
Affiliations:
Institut für Informationsverarbeitung (TNT), Leibniz Universität Hannover;Institut für Quantenoptik (IQO), Leibniz Universität Hannover;Institut für Quantenoptik (IQO), Leibniz Universität Hannover;Institut für Quantenoptik (IQO), Leibniz Universität Hannover;Institut für Informationsverarbeitung (TNT), Leibniz Universität Hannover;Institut für Informationsverarbeitung (TNT), Leibniz Universität Hannover
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Year:
2011

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Abstract

We present a method to classify atomic density distributions using CCD images obtained in a quantum optics experiment. The classification is based on the scale invariant detection and precise localization of the central blob in the input image structure. The key idea is the usage of an a priori known shape of the feature in the image scale space. This approach results in higher localization accuracy and more robustness against noise compared to the most accurate state of the art blob region detectors. The classification is done with a success rate of 90% for the experimentally captured images. The results presented here are restricted to special image structures occurring in the atom optics experiment, but the presented methodology can lead to improved results for a wide class of pattern recognition and blob localization problems.