dc.creatorMARIA ALBERTINA CASTRO IBARRA
dc.creatorYANN FRAUEL
dc.date2007-04
dc.date.accessioned2023-07-25T16:22:43Z
dc.date.available2023-07-25T16:22:43Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/954
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806153
dc.descriptionWe 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.
dc.formatapplication/pdf
dc.languageeng
dc.publisherOptical Society of America
dc.relationcitation: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
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2209
dc.subjectinfo:eu-repo/classification/cti/2209
dc.titleDepth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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