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.
Titolo: | Using Clustering and Controlled Regression to Analyze the Orientation of Rod-Like Objects |
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Data di pubblicazione: | 2019 |
Rivista: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.18483/ijSci.2055 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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http://hdl.handle.net/11583/2732966