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Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms
MARIA ALBERTINA CASTRO IBARRA
YANN FRAUEL
Acceso Abierto
Atribución-NoComercial-SinDerivadas
We present a technique for performing segmentation of macroscopic three-dimensional objects recorded using in-line digital holography. We numerically reconstruct a single perspective of each object at a range of depths. At each point in the digital wavefront we calculate variance about a neighborhood. The maximum variance at each point over all depths is thresholded to classify it as an object pixel or a background pixel. Segmentation results for objects of low and high contrast are presented.
Optical Society of America
2007-04
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Castro-Ibarra, A., et al., (2007). Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms, Optics Letters, Vol. 32 (10): 1229-1231
ÓPTICA
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