@inproceedings{6af45071210f4d19a0d5f8609250fa0f,
title = "Modified fuzzy c-means applied to a Bragg grating-based spectral imager for material clustering",
abstract = "We have modified the Fuzzy C-Means algorithm for an application related to segmentation of hyperspectral images. Classical fuzzy c-means algorithm uses Euclidean distance for computing sample membership to each cluster. We have introduced a different distance metric, Spectral Similarity Value (SSV), in order to have a more convenient similarity measure for reflectance information. SSV distance metric considers both magnitude difference (by the use of Euclidean distance) and spectral shape (by the use of Pearson correlation). Experiments confirmed that the introduction of this metric improves the quality of hyperspectral image segmentation, creating spectrally more dense clusters and increasing the number of correctly classified pixels.",
keywords = "Fuzzy Clustering, Hyperspectral Imaging",
author = "Aida Rodr{\'i}guez and Nieves, {Juan Luis} and Eva Valero and Est{\'i}baliz Garrote and Javier Hern{\'a}ndez-Andr{\'e}s and Javier Romero",
year = "2012",
doi = "10.1117/12.909081",
language = "English",
isbn = "9780819489470",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Image Processing",
note = "Image Processing: Machine Vision Applications V ; Conference date: 25-01-2012 Through 25-01-2012",
}