Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/1491
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Colour description and quantification in mosaic images of soil thin sections
Author(s): Adderley, W Paul
Simpson, Ian
Davidson, Donald
Contact Email: w.p.adderley@stir.ac.uk
Keywords: Munsell Colour
Soil Micromorphology
Image Analysis
Plaggen soils
Cultural Soils
Palaesols
Soil micromorphology
Archaeological geology
Issue Date: Aug-2002
Date Deposited: 29-Jul-2009
Citation: Adderley WP, Simpson I & Davidson D (2002) Colour description and quantification in mosaic images of soil thin sections. Geoderma, 108 (3-4), pp. 181-195. https://doi.org/10.1016/S0016-7061%2802%2900123-4
Abstract: Quantitative micromorphological approaches have been developed for a variety of purposes in recent years. This paper describes a methodology developed for contexts where the spatial distribution of a large number of small objects is of interpretative value, and where colour is a determining criteria of the object description. Such contexts include anthropic soils, particularly plaggen soils, and geoarchaeological settings where objects may be variable in size, in relative distribution, and in colour, but where advances in interpretation are made through the quantification of these factors. Two novel methodological steps developed for such contexts are described in this paper. First, an approach using Munsell colour terms within micromorphological description is detailed. For both transmitted and reflected illuminations, the conversion of machine analytical colours captured by a camera to Munsell values is demonstrated. Second, the production of mosaic images is considered. These images are contiguous and cover a large area of the microscope slide at high resolution. This paper describes the successful use of these methods in an anthropic soil context and in doing so, variation in section thickness, regardless of the illumination method adopted, emerges as critical, highlighting that quantitative image analysis of preexisting sets of thin-section slides should be restricted to intra-slide comparison.
DOI Link: 10.1016/S0016-7061(02)00123-4
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