Computer aided method for colour calibration and analysis of digital rock photographs

The methods used in geology to determine colour and colour coverage are expensive, time consuming, and/ or subjective. Estimates of colour coverage can only be approximate since they are based on rough comparison- based measuring etalons and subjective estimation, which is dependent upon the skill and experience of the person performing the estimation. We present a method which accelerates, simpli es, and objecti es these tasks using a computer application. It automatically calibrates the colours of a digital photo, and enables the user to read colour values and coverage, even after returning from eld work. Colour identi cation is based on the Munsell colour system. For the purposes of colour calibration we use the X-Rite ColorChecker Passport colour chart placed onto the photographed scene. Our computer application detects the ColorChecker colour chart, and nds a colour space transformation to calibrate the colour in the photo. The user can then use the application to read colours within selected points or regions of the photo. The results of the computerised colour calibration were compared to the reference values of the ColorChecker chart. The values slightly deviate from the exact values, but the deviation is around the limit of human capability for visual comparison. We have devised an experiment, which compares the precision of the computerised colour analysis and manual colour analysis performed on a variety of rock samples with the help of geology students using Munsell Rock-color Chart. The analysis showed that the precision of manual comparative identi cation on multi- coloured samples is somewhat problematic, since the choice of representative colours and observation points for a certain part of a sample are subjective. The computer based method has the edge in veri ability and repeatability of the analysis since the application the original photo to be saved with colour calibration, and tagging of colour- analysed points and regions

ColrSpace: A Mata class for color management

ColrSpace is a class-based color management system implemented in Mata. It supports a wide variety of color spaces and translations among them, provides color generators and a large collection of named palettes, and features functionality such as color interpolation, grayscale conversion, or color vision deficiency simulation. ColrSpace requires Stata 14.2 or newer

Color palettes for Stata graphics: an update

This paper is an update to Jann (2018). It contains a comprehensive discussion of the -colorpalette- command, including various changes and additions that have been made to the software since its first publication. Command -colorpalette- provides colors for use in Stata graphics. In addition to Stata's default colors, -colorpalette- supports a variety of named colors, a selection of palettes that have been proposed by users, numerous collections of palettes and colormaps from sources such as ColorBrewer, Carto, D3.js, or Matplotlib, as well as color generators in different color spaces. The command also provides features such as color interpolation or color vision deficiency simulation