Image processing to extract sequential profiles with high spatial resolution from the 2D map of deformed laminated patterns

Katsuta, Nagayoshi; Takano, Masao; Okaniwa, Teruyuki; Kumazawa, Mineo

doi:10.1016/s0098-3004(03)00021-9

Cited by 30 publications

(19 citation statements)

References 17 publications

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“…Furthermore, it would be desirable to extend the algorithm for the treatment of two-dimensional data sets. This can be done with the help of some studies described in literature (Ripepe et al, 1991;D'Arrigo et al, 1998;Katsuta et al, 2003). This step would improve the detection of intra-annual lamina thickness variations.…”

Section: Discussionmentioning

confidence: 99%

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New approaches for automated data processing of annually laminated sediments

Rupf

Radons

2004

Nonlin. Processes Geophys.

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Abstract. Laminated sediments, like evaporites and biogenic lake sediments, provide high-resolution paleo-climate records. Yet detection and counting of laminae causes still problems because sedimentary structures are often disturbed. In the past laminated rocks often were analysed manuallya tedious and subjective work.The present study describes four automated approaches for lamina detection based on 1 d grey-scale vectors. Best results are obtained with a newly developed algorithm, called Adaptive Template Method (ATM) in combination with the Hilbert transform. ATM improves the signal to noise ratio of the grey-value signal. Its basic idea is to extract first a characteristic waveform, the template, which describes the typical grey-value variation transverse to the laminae. This is a kind of "template learning" process, which in practice is done by an appropriate averaging method. This template is in a second step used for processing the whole sample. One calculates the overlap of the template with the actual signal, the grey-value variation along the core, as function of position in core direction. This method generates a new signal with maxima at positions, where the template optimally matches the original signal. The new time-series is called ATtransform. It is smoother than the initial data sequence. High frequency noise and local trend effects are suppressed. Afterwards, the AT-transform can be analysed with the Hilbert transformation for extracting phase information.The data processing methods are tested both on artificial data sequences and on a seasonally laminated sedimentary record of the Oligocene Baruth Maar (Germany). Although ATM is no panacea for highly disturbed signals, our comparison with other approaches shows that it provides the best results. The combination of ATM and the Hilbert transform allows to detect clearly long-term oscillations in the sedimentation patterns and thus cycles in climatic variations.

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Section: Discussionmentioning

confidence: 99%

“…For future work, the method of Katsuta et al (2003) seems to be most promising. Instead of treating single pixel lines, they use the full 2 d image for varve detecting.…”

Section: Introductionmentioning

confidence: 99%

New approaches for automated data processing of annually laminated sediments

Rupf

Radons

2004

Nonlin. Processes Geophys.

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“…The XRF images were acquired allowing overlapping with the adjacent sections above and below to obtain continuous sequence data. The XRF images were reduced to one-dimensional profiles using lamination trace techniques [28] that enabled us to obtain the average value along the deformed bedding planes. After the weighted averages of the overlap sections had been calculated, the sequential profiles shown in Fig.…”

Section: Distribution Of the Major Elementsmentioning

confidence: 99%

Fractal Nature of the Band-Thickness in the Archean Banded Iron Formation in the Yellowknife Greenstone Belt, Northwest Territories, Canada

Katsuta¹,

Shimizu²,

Takano³

et al. 2013

Climate Change and Regional/Local Responses

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“…The XRF images of the six elements for each sample plate were converted into a set of 1D profiles using an image processing lamination tracer (Katsuta et al 2003). The lamination tracer is an image processing technique employed to extract 1D sequential profiles from a variety of 2D measurements on the cross sections of deformed, laminated sedimentary rocks containing many defects.…”

Section: Conversion Of Xrf Images To Elemental Profilesmentioning

confidence: 99%

“…Once the isochron function is determined for a measured image by the lamination tracer, the average operation along the isochronous lines will yield a 1D sequential profile with a high spatial resolution and accuracy. This algorithm is discussed in detail by Katsuta et al (2003). The computational program that has been coded in MATLAB version 5.3 is available at http://www.iamg.org/ 1D-elemental profiles acquired by lamination tracer Figure 3a demonstrates how the lamination tracer was used to obtain an Fe image of the rhythmite in the Rasthof cap carbonate.…”

Section: Conversion Of Xrf Images To Elemental Profilesmentioning

confidence: 99%

Non-destructive method to detect the cycle of lamination in sedimentary rocks: rhythmite sequence in Neoproterozoic Cap carbonates

Katsuta

Tojo

Takano

et al. 2007

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Environmental changes were flagged by lamination within Precambrian sedimentary rocks sequences using a high-resolution method. A continuous sample was collected and embedded in epoxy resin to form sample plates in order to investigate 2D laminations on sample surfaces. Elemental distributions in laminated samples were determined and recorded as XRF profiles, using the scanning X-ray analytical microscope (SXAM) and an image processing lamination tracer.These methods were used to study a rhythmite sequence at the base of a Neoproterozoic cap carbonates, which immediately overlies glacial deposits in Namibia, to determine profiles of Si, Ca, Mn, Ti, Fe, and Sr. At the base and top of each interval, the concentrations of six elements were relatively constant. In the middle of the interval, Ca-Sr and Mn, which reflect presence of calcite and dolomite respectively, fluctuated. This reflects seventeen cycles. The cyclic fluctuations of Ca-Sr and Mn were interpreted as calcite-dolomite cycles. Strontium also recorded two cycles. Furthermore, the fluctuations of Ca-Sr and Mn in calcite-dolomite cycles were laterally traceable. Possibly, these calcite-dolomite cycles were deposited synchronously and regionally. New methods allow the extraction of data that record cyclic-and event-phenomena from long sequences of laminated sedimentary rocks; this is not isolated to the Neoproterozoic but also throughout Earth's history.

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Image processing to extract sequential profiles with high spatial resolution from the 2D map of deformed laminated patterns

Cited by 30 publications

References 17 publications

New approaches for automated data processing of annually laminated sediments

New approaches for automated data processing of annually laminated sediments

Fractal Nature of the Band-Thickness in the Archean Banded Iron Formation in the Yellowknife Greenstone Belt, Northwest Territories, Canada

Non-destructive method to detect the cycle of lamination in sedimentary rocks: rhythmite sequence in Neoproterozoic Cap carbonates

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