1997
DOI: 10.1002/(sici)1097-4539(199711/12)26:6<333::aid-xrs231>3.0.co;2-d
|View full text |Cite
|
Sign up to set email alerts
|

Automated segmentation of μ-XRF image sets

Abstract: The combined use of principal component analysis (PCA) and K‐means clustering (KMC) for the segmentation and (semi‐)quantitative calibration of multivariate μ‐XRF data sets is proposed and evaluated. The usefulness of the method is compared with that of using PCA or KMC separately by discussing image sets derived from geological and archeometric samples. © 1997 John Wiley & Sons, Ltd.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
23
0

Year Published

2000
2000
2019
2019

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 72 publications
(23 citation statements)
references
References 2 publications
(4 reference statements)
0
23
0
Order By: Relevance
“…For further validation of the lab spectrometer the maps of the two samples (normal and deficient Ca diet with SrCl 2 treatment) measured in the lab spectrometer were evaluated the same way as the maps obtained within a previous study 20 at the synchrotron, using principal component analysis and kmeans clustering. 21 Details regarding the data treatment can also be found in Ref. 20.…”
Section: Synchrotron Radiation Induced Micro-xrf (Sr Micro-mentioning
confidence: 99%
“…For further validation of the lab spectrometer the maps of the two samples (normal and deficient Ca diet with SrCl 2 treatment) measured in the lab spectrometer were evaluated the same way as the maps obtained within a previous study 20 at the synchrotron, using principal component analysis and kmeans clustering. 21 Details regarding the data treatment can also be found in Ref. 20.…”
Section: Synchrotron Radiation Induced Micro-xrf (Sr Micro-mentioning
confidence: 99%
“…[11] Recently, a number of studies have also begun to explore the potential of scanning XRF technology for mapping of biological and geological materials, in order to understand the spatial, as well as the temporal variations in the elemental composition of geological materials [Civici, 1997;Fukumoto et al, 1999;Vekemans et al, 1999;Böning et al, 2007]. The primary limitation to the XRF mapping approach is the time required to produce the map.…”
Section: Scanning M-xrf Analysis Of Sedimentsmentioning
confidence: 99%
“…[13] Although visual examination of XRF sediment maps can provide valuable insights into the geochemical makeup and origin of sedimentary structures, methods which have been previously utilized for simplifying and interpreting multidimensional data sets, such as dimensionality reduction and image segmentation [Bonnet et al, 1997;Vekemans et al, 1999] can improve our understanding of these data sets. These methods can be particularly valuable in noisy data sets like the ones generated here.…”
Section: Multidimensional Analysis Of Xrf Mapsmentioning
confidence: 99%
See 1 more Smart Citation
“…The most commonly used method is the non-hierarchical K-means clustering algorithm. [19][20][21] The aim of the present study was to obtain quantitative information on the sorption capacity of the mineral phases responsible for the uptake of Nd(III). Because of the heterogeneity of the rock, microscopic studies (micro-XRF and SEM/EDX measurements) were necessary on the representative geological samples.…”
Section: Introductionmentioning
confidence: 99%