clean_exclusion_shape: Function to excluded particles based on their shape
In UweSchnepf/MPA: Microplastic particle analysis
clean_exclusion_shape R Documentation
Function to excluded particles based on their shape
Description
Implements an algorithm proposed by Kroener and Carbo to detect and delete falsely calculated shape factors
caused by digitization issues. It is based on a theoretical relationship between circularity/sphericity and elongtaion.
This relationship acts like a threshold for meausred pair of values. If they exceed the threshold, then something went
wrong in image processing, for which low pixel resoultion is the most prominent reason. Consequently, such pair of
values will be eliminated.
Usage
clean_exclusion_shape(data, cisp, elon = "Elongation", model)
Arguments
data
A data frame that will be manipulated.
cisp
A character string to select the vector that contains circularity or sphericity values.
elon
A character string to select the vector that contains elongation values. Default is "Elongation".
model
Must be either "ce" for the Circularity-Elongation model or "se" for the Sphericity-Elongation model.
Author(s)
Uwe Schnepf
References
Kroener, S., Domenech Carbo, M.T., 2013. Determination of minimum pixel resolution for shape analysis: Proposal of a new data validation method for computerized images. Powder Technol. 245, 297 – 313.
UweSchnepf/MPA documentation built on July 1, 2022, 2:11 a.m.
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| clean_exclusion_shape | R Documentation |
Function to excluded particles based on their shape
Description
Implements an algorithm proposed by Kroener and Carbo to detect and delete falsely calculated shape factors caused by digitization issues. It is based on a theoretical relationship between circularity/sphericity and elongtaion. This relationship acts like a threshold for meausred pair of values. If they exceed the threshold, then something went wrong in image processing, for which low pixel resoultion is the most prominent reason. Consequently, such pair of values will be eliminated.
Usage
clean_exclusion_shape(data, cisp, elon = "Elongation", model)
Arguments
data |
A data frame that will be manipulated. |
cisp |
A character string to select the vector that contains circularity or sphericity values. |
elon |
A character string to select the vector that contains elongation values. Default is "Elongation". |
model |
Must be either "ce" for the Circularity-Elongation model or "se" for the Sphericity-Elongation model. |
Author(s)
Uwe Schnepf
References
Kroener, S., Domenech Carbo, M.T., 2013. Determination of minimum pixel resolution for shape analysis: Proposal of a new data validation method for computerized images. Powder Technol. 245, 297 – 313.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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