2018
DOI: 10.1016/j.chemolab.2018.06.011
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Evaluation and assessment of homogeneity in images. Part 2: Homogeneity assessment on single channel non-binary images. Blending end-point detection as example

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Cited by 8 publications
(1 citation statement)
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“…One common point in almost all DI applications is the fact that treated images are completely homogeneous and therefore the definition of a region of interest (ROI) is a trivial task ( Meenu et al, 2021 ). Even when images are captured from heterogeneous samples, this is not addressed as an important factor, while it should be ( da Silva et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…One common point in almost all DI applications is the fact that treated images are completely homogeneous and therefore the definition of a region of interest (ROI) is a trivial task ( Meenu et al, 2021 ). Even when images are captured from heterogeneous samples, this is not addressed as an important factor, while it should be ( da Silva et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%