Clarke, J; Wright, L R (2023) The uncertainty-aware canny operator edge detection method. NPL Report. MS 49

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Abstract

This report was centred on quantifying uncertainties associated with edge detection in image processing. The Canny edge-detection operator was used in this work due to its commonality within the image processing field. The proposed method employs a Monte Carlo approach to propagate uncertainties through the measurement model and two sampling methods were examined: simple random sampling and Latin hypercube sampling. The uncertainty-aware Canny operator method was successfully applied to several case-study images in which an uncertainty was quantified for the measurand – in this case the measurand was the area of and extracted region within the input image.

Item Type:	Report/Guide (NPL Report)
NPL Report No.:	MS 49
Subjects:	Mathematics and Scientific Computing > Measurement Uncertainties
Divisions:	Data Science
Identification number/DOI:	10.47120/npl.MS49
Last Modified:	16 May 2023 09:53
URI:	https://eprintspublications.npl.co.uk/id/eprint/9719