1:45 PM - 3:15 PM
[O11-P109] A Proposal for Assisting Color Vision Characteristics in Mineral Identification
Keywords:mineral identification, color vision variation, idea for notation
Summary
Color is a key factor in mineral identification, but perception varies among individuals, particularly those with color vision variation. This subjectivity can hinder accurate identification. Even for those without such differences, color judgments rely on personal experience, highlighting the need for an objective method.
This proposal introduces RGB-based color quantification to share color information accurately and consistently. By using numerical values instead of subjective impressions, the approach improves communication and reduces barriers for people with diverse vision, promoting fairness in observation.
To correct lighting effects—which can alter perceived color—a method inspired by digital illustration is used. A white reference board and the mineral are photographed together; the light color is extracted using an app like ibisPaint, and a correction layer is applied based on division, counteracting the lighting influence.
Future efforts will focus on refining this method by analyzing lighting effects, gathering feedback from people with color vision variation, and considering surface and luster factors. The ultimate goal is to create a practical, inclusive tool for more accurate and accessible mineral identification.
Color is a key factor in mineral identification, but perception varies among individuals, particularly those with color vision variation. This subjectivity can hinder accurate identification. Even for those without such differences, color judgments rely on personal experience, highlighting the need for an objective method.
This proposal introduces RGB-based color quantification to share color information accurately and consistently. By using numerical values instead of subjective impressions, the approach improves communication and reduces barriers for people with diverse vision, promoting fairness in observation.
To correct lighting effects—which can alter perceived color—a method inspired by digital illustration is used. A white reference board and the mineral are photographed together; the light color is extracted using an app like ibisPaint, and a correction layer is applied based on division, counteracting the lighting influence.
Future efforts will focus on refining this method by analyzing lighting effects, gathering feedback from people with color vision variation, and considering surface and luster factors. The ultimate goal is to create a practical, inclusive tool for more accurate and accessible mineral identification.