Using Clustering and Controlled Regression to Analyze the Orientation of Rod-Like Objects
Amelia Carolina Sparavigna, Roberto Marazzato · International Journal of Sciences · 2019
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.