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

Amelia Carolina Sparavigna and Roberto Marazzato

International Journal of Sciences, 2019, vol. 8, issue 05, 16-18

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.

Keywords: Image Processing; Image Segmentation; Orientation of Textures (search for similar items in EconPapers)
Date: 2019
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DOI: 10.18483/ijSci.2055

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