This paper is in the same line as those investigations. Some studies have aimed to build a model to predict the value, chroma, and hue of MSCCs from RGB images ( Pegalajar et al., 2018 Stanco et al., 2011 Milotta et al., 2017, Milotta et al., 2018a, Milotta et al., 2020) to solve the imprecision of professionals (Edaphologists and Archaeologists) when predicting value, chroma, and hue based on MSCCs. In addition, the transformation from RGB color space to Munsell soil-color charts (MSCCs) could be used to identify skin, hair, and eyes in Anthropology, Criminology, Pathology, and Forensic Medicine (Munsell Soil Color Charts, 2000). Likewise, in archaeology, Munsell soil-color charts (MSCCs) are useful for identifying organic materials, soil proles, rock materials, textiles, metals, colored glasses, paintings, and the artifacts retrieved ( Milotta et al., 2017 Milotta et al., 2018a). For example, in Edaphology, the transformation of a sample soil image to the Munsell soil-color charts (MSCCs) is required to identify the taxonomy and characteristics of the soil in geographical areas (Sánchez-Marañón et al., 2005 Domínguez Soto et al., 2018 Ibáñez-Asensio et al., 2013).

The transformation from RGB to Munsell color space is a relevant issue for different tasks that require applying the conversion to images taken from traditional cameras or smartphones. Figure 1 shows one of the seven charts of the USA2000 version.

Each chart has multiple color chips originating from the degrees of luminance and purity of color known as value and chroma. There are several versions, but each is composed of a subset of charts representing a different hue in the Munsell space. The Munsell soil-color charts (MSCCs) are derived from the Munsell space color and represent a part of the Munsell hue spectrum.

How to convert munsell to rgb