Rapid localization of bone fragments on surfaces using back-projection and hyperspectral imaging.
J Forensic Sci
; 59(2): 474-80, 2014 Mar.
Article
em En
| MEDLINE
| ID: mdl-24547958
ABSTRACT
Manual localization of bone fragments on the ground or on complex surfaces in relation to accidents or criminal activity may be time-consuming and challenging. It is here investigated whether combining a near-infrared hyperspectral camera and chemometric modeling with false color back-projection can be used for rapid localization of bone fragments. The approach is noninvasive and highlights the spatial distribution of various compounds/properties to facilitate manual inspection of surfaces. Discriminant partial least squares regression is used to classify between bone and nonbone spectra from the hyperspectral camera. A predictive model (>95% prediction ability) is constructed from raw chicken bones mixed with stone, sand, leaves, moss, and wood. The model uses features in the near-infrared spectrum which may be selective for bones in general and is able to identify a wide variety of bones from different animals and contexts, including aged and weathered bone.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Osso e Ossos
/
Espectroscopia de Luz Próxima ao Infravermelho
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
J Forensic Sci
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Noruega