WlCount: Geological lamination detection and counting using an image analysis approach

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: http://doi.org/10.1016/j.cageo.2022.105037. This is version 1 of this Preprint.


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Fabio Oriani, Pauline C Treble, Andy Baker , Grégoire Mariéthoz 


The manual identification and count of laminae in layered textures is a common practice in the study of geological records, which can be time consuming and carry large uncertainty for dense or disturbed lamina textures. We present here a novel image analysis approach to detect and count laminae in geoscientific imagery, called WlCount. Based on Dynamic Time Warping and Wavelet analysis, WlCount firstly aligns persistent vertical elements to increase the continuity of the lamina structure. Then, using a graphical interface, the user extracts the most significant signal frequencies and allows the automatic count of the laminae. The software, tested on a series of stalagmite cut images showing different types of laminations and a tree-ring image, provides an estimation of the laminae detection and count comparable to the manual one. WlCount presents as a useful open-source tool to help geoscientists, sensibly speeding up the lamination count process.




Earth Sciences, Longitudinal Data Analysis and Time Series, Speleology, Stratigraphy


laminae count, stalagmite, tree rings, Geochronology, Dynamic time warping


Published: 2021-11-09 07:17

Last Updated: 2021-11-09 15:17


CC BY Attribution 4.0 International

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