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Wen-Yen Wu. Detecting Circles Using a Two-Stage Approach[J]. Journal of Electronic Science and Technology, 2014, 12(3): 318-321. DOI: 10.3969/j.issn.1674-862X.2014.03.014
Citation: Wen-Yen Wu. Detecting Circles Using a Two-Stage Approach[J]. Journal of Electronic Science and Technology, 2014, 12(3): 318-321. DOI: 10.3969/j.issn.1674-862X.2014.03.014
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Detecting Circles Using a Two-Stage Approach

doi: 10.3969/j.issn.1674-862X.2014.03.014

  • Department of Industrial Management,I-Shou University,Kaohsing 84001

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This work was supported by the I-Shou University under Grant No. ISU 102-05-01.

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  • Author Bio:

    Wen-Yen Wu research interests include automated inspection, machine vision, fuzzy set theory, pattern recognition, and anthropometric applications, wywu@isu.edu.tw

  • Authors’ information: Wen-Yen Wu
  • Received Date: 2013-12-10
  • Rev Recd Date: 2014-03-11
  • Publish Date: 2014-09-24
    Abstract
  • We propose a two-stage method for detecting circular objects in this paper. In the first stage, curves are divided as linear segments or nonlinear segments. A least square estimator is used to find the estimated centers and radii of the nonlinear segments in the second stage. The found centers and radii are then evaluated to see if there exist circles in the nonlinear segments. Both of the broken and occluded circular objects are evaluated for the proposed method. From the experimental results, it is seen that the proposed method is efficient.
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