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.

Using Clustering and Controlled Regression to Analyze the Orientation of Rod-Like Objects / Sparavigna, Amelia Carolina; Marazzato, Roberto. - In: INTERNATIONAL JOURNAL OF SCIENCES. - ISSN 2305-3925. - 8:05(2019), pp. 16-18. [10.18483/ijSci.2055]

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

Amelia Carolina Sparavigna;Roberto Marazzato
2019

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2732966
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