학술논문

Unveiling “The Scream” by Edvard Munch: Iterative Fuzzy c-Means Analysis OF Macro-XRF Mapping
Document Type
Conference
Source
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022 12th Workshop on. :1-5 Sep, 2022
Subject
Signal Processing and Analysis
Signal processing algorithms
Inorganic materials
Imaging
Pigments
Signal processing
Fluorescence
Museums
Hyperspectral XRF datacube
FCM
iterative clustering
painting technique
Language
ISSN
2158-6276
Abstract
“The Scream” by Edvard Munch belonging to the Munch Museum in Oslo has been analyzed using Macro Xray Fluorescence (MA-XRF). The non-invasive imaging technique unveiled the elemental distribution of the inorganic materials of the painting and brought to light the artist’s palette. The semi-unsupervised classification of MA-XRF datacube through an iterative Fuzzy C-Means (FCM)based analysis was applied to shed light on the complex pigment mixture and execution technique used to create the iconic representation of “The Scream”.The analysis revealed the relationship between the main pigments and some other distinctive pigments characterized by low XRF intensities, such as cadmium yellows and oranges. The combination of a well-known investigating technique, such as MA-XRF, with the use of advanced algorithms, provided new informative chemical images representing Munch’s painting technique.