Gaussian mixture model clustering allows accurate semantic image segmentation of wheat kernels from near-infrared hyperspectral images
(2025)
Journal Article
Kartakoullis, A., Caporaso, N., Whitworth, M. B., & Fisk, I. D. (2025). Gaussian mixture model clustering allows accurate semantic image segmentation of wheat kernels from near-infrared hyperspectral images. Chemometrics and Intelligent Laboratory Systems, 259, Article 105341. https://doi.org/10.1016/j.chemolab.2025.105341
In this study, an ad-hoc image processing pipeline has been developed and proposed for the purpose of semantically segmenting wheat kernel data acquired through near-infrared hyperspectral imaging (HSI). The Gaussian Mixture Model (GMM), characterize... Read More about Gaussian mixture model clustering allows accurate semantic image segmentation of wheat kernels from near-infrared hyperspectral images.