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Sotoca, J.M., Plam F. and Klaren, A.C. (2004) Unsupervised band selection for multispectral images using information theory. International Conference on Pattern Recognition, 23-26 August 2006, 510-513.

has been cited by the following article:

• TITLE: Novel approach for the automated detection of allergy test using spectral imaging

  AUTHORS: Issa Ibraheem

  KEYWORDS: Allergy-test; Classification; Spectral Imaging; Principal Components Analysis; Linear Discriminant; Classification

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.5 No.8, July 31, 2012

  ABSTRACT: This paper proposes a novel approach for the automatic detection of allergy test (allergy lesion). A hyperspectral microscope system was used to image the test samples which were diagnosed by dermatologist. It was found that allergy of different levels, and healthy skin cells show absorption spectra, which are sufficiently characteristic and yet reproducible enough to allow for differentiation when using a spectroscopic system. Principal components analysis was used to extract relevant features that could be used for classification from these spectra. Preliminary results indicate that the different types of allergy cells can be reliably distinguished by these features. We conclude that hyperspectral microscopic analysis is a promising approach for improving and automating the diagnosis of allergy test as well as another skin lesions.