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A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem

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Abstract

In this paper we consider the multiple geometrical object detection problem. On the basis of the set \(\mathcal {A}\) containing data points coming from and scattered among a number of geometrical objects not known in advance, we should reconstruct or detect those geometrical objects. A new efficient method for solving this problem based on the popular RANSAC method using parameters from the DBSCAN method is proposed. Thereby, instead of using classical indexes for recognizing the most appropriate partition, we use parameters from the DBSCAN method which define the necessary conditions proven to be far more efficient. Especially, the method is applied to solving multiple circle detection problem. In this case, we give both the conditions for the existence of the best circle as a representative of the data set and the explicit formulas for the parameters of the best circle. In the illustrative example, we consider the multiple circle detection problem for the data point set \(\mathcal {A}\) coming from 5 intersected circles not known in advance. The method is tested on numerous artificial data sets and it has shown high efficiency. The comparison of the proposed method with other well-known methods of circle detection in real-world images also indicates a significant advantage of our method.

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Notes

  1. All evaluations were done on the basis of our own Mathematica-modules freely available at: https://www.mathos.unios.hr/images/homepages/scitowsk/DBRAN.rar, and were performed on the computer with a 2.90 GHz Intel(R) Core(TM)i7-75000 CPU with 16GB of RAM.

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Acknowledgements

The author would like to thank the referees and the journal editors for their careful reading of the paper and insightful comments that helped us improve the paper. Especially, the authors would like to thank Mrs. Katarina Moržan for significantly improving English of this paper. This work was supported by the Croatian Science Foundation through research Grants IP-2016-06-6545 and IP-2016-06-8350.

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  1. Department of Mathematics, University of Osijek, Trg Ljudevita Gaja 6, 31 000, Osijek, Croatia

    Rudolf Scitovski, Snježana Majstorović & Kristian Sabo

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  1. Rudolf Scitovski
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  2. Snježana Majstorović
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  3. Kristian Sabo
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Correspondence to Rudolf Scitovski.

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Scitovski, R., Majstorović, S. & Sabo, K. A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem. J Glob Optim 79, 669–686 (2021). https://doi.org/10.1007/s10898-020-00950-8

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