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Using Clustering and Controlled Regression to Analyze the Orientation of Rod-Like Objects

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  • Amelia Carolina Sparavigna
  • Roberto Marazzato

Abstract

This work proposes the use of the R language for the analysis of the orientation of rod-like objects. First, the objects are separated from the background by means of a segmentation based on a thresholding. DBSCAN, a density based clustering algorithm, is used on the thresholded image. After the clustering, a linear regression is applied to determine the orientation of rod-like objects. The orientation is displayed by means of a radar diagram.

Suggested Citation

  • Amelia Carolina Sparavigna & Roberto Marazzato, 2019. "Using Clustering and Controlled Regression to Analyze the Orientation of Rod-Like Objects," International Journal of Sciences, Office ijSciences, vol. 8(05), pages 16-18, May.
    • Handle: RePEc:adm:journl:v:8:y:2019:i:5:p:16-18
    DOI: 10.18483/ijSci.2055
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    References listed on IDEAS

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    1. Amelia Carolina Sparavigna, 2017. "Image Segmentation Applied to the Study of Micrographs of Cellular Solids," International Journal of Sciences, Office ijSciences, vol. 6(02), pages 68-76, February.
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