title: Rapid localization of bone fragments on surfaces using back-projection and hyperspectral imaging.
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.
authors.affiliation: Department of Chemistry, Norwegian University of Science and Technology (NTNU), N-7491, Trondheim, Norway.
authors.forename: Bjørn K
authors.initials: BK
authors.lastname: Alsberg
authors.forename: Jørgen
authors.initials: J
authors.lastname: Rosvold
mesh_terms: D000818:Animals; D001842:Bone and Bones; D007091:Image Processing, Computer-Assisted; D016018:Least-Squares Analysis; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation / Q000379:methods*
keywords: PryJector; archeology; bone fragments; bones; chemical images; chemical imaging; chemometrics; forensic science; hyperspectral camera; in situ visualization; near-infrared spectroscopy; projection