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| author | Jennifer Victorine Benedict |
| title | Automatic Munsell Color Detection in Mobile Applications |
| abstract |
The process of color detection via mobile applications is not a new concept, as there exist a wide variety of mobile applications found in app stores that
allow users to automatically detect the colors in an image with a click of a button. However, these applications typically only translate the image's pixels
into color standards such as RGB and HSV. Although these are commonly used standards for interpreting and analyzing color, there exists no application that can
take any image and process the image's colors in terms of Munsell, a widely used cylindrical color standard in such fields as archaeology,
plant science, food science, and more. This thesis proposes an approach implemented as an android application that allows users to take a picture of an
object and know what its corresponding Munsell Color is. This thesis also proposes and evaluates a calibration technique to be used in the application that would
provide users with an accurate reading of the colors in the images they take, regardless of environmental factors like sunlight. The purpose of this research is
to provide users of the Munsell Color system with a tool that can be used in their respective fields and increasing accessibility to this system, as well as an
understanding of the current calibration technique used and how it can be adjusted for their particular needs.
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| school | The College of Liberal Arts, Drew University |
| degree | B.A. (2018) |
| advisor | Emily Hill |
| committee | Bjorg Larson
John Muccigrosso |
| full text | JVBenedict.pdf |
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