Three-dimensional reconstruction of fracture surfaces: Area matching algorithms for automatic parallax measurements

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDe Oliveira Hein, Luis Rogerio
dc.creatorDe Azevedo Silva, Fernando
dc.creatorNazar, Ana Maria Martinez
dc.creatorAmmann, Jean Jacques
dc.date2014-05-27T11:19:44Z
dc.date2016-10-25T18:15:45Z
dc.date2014-05-27T11:19:44Z
dc.date2016-10-25T18:15:45Z
dc.date1999-07-01
dc.date.accessioned2017-04-06T00:54:21Z
dc.date.available2017-04-06T00:54:21Z
dc.identifierScanning, v. 21, n. 4, p. 253-263, 1999.
dc.identifier0161-0457
dc.identifierhttp://hdl.handle.net/11449/65797
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65797
dc.identifier10.1002/sca.4950210405
dc.identifierWOS:000082098700005
dc.identifier2-s2.0-0344069695
dc.identifierhttp://dx.doi.org/10.1002/sca.4950210405
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887474
dc.descriptionThis paper describes two solutions for systematic measurement of surface elevation that can be used for both profile and surface reconstructions for quantitative fractography case studies. The first one is developed under Khoros graphical interface environment. It consists of an adaption of the almost classical area matching algorithm, that is based on cross-correlation operations, to the well-known method of parallax measurements from stereo pairs. A normalization function was created to avoid false cross-correlation peaks, driving to the true window best matching solution at each region analyzed on both stereo projections. Some limitations to the use of scanning electron microscopy and the types of surface patterns are also discussed. The second algorithm is based on a spatial correlation function. This solution is implemented under the NIH Image macro programming, combining a good representation for low contrast regions and many improvements on overall user interface and performance. Its advantages and limitations are also presented.
dc.descriptionThis paper describes two solutions for systematic measurement of surface elevation that can be used for both profile and surface reconstructions for quantitative fractography case studies. The first one is developed under Khoros graphical interface environment. It consists of an adaption of the almost classical area matching algorithm, that is based on cross-correlation operations, to the well-known method of parallax measurements from stereo pairs. A normalization function was created to avoid false cross-correlation peaks, driving to the true window best matching solution at each region analyzed on both stereo projections. Some limitations to the use of scanning electron microscopy and the types of surface patterns are also discussed. The second algorithm is based on a spatial correlation function. This solution is implemented under the NIH Image macro programming, combining a good representation for low contrast regions and many improvements on overall user interface and performance. Its advantages and limitations are also presented.
dc.languageeng
dc.relationScanning
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject3-D reconstruction
dc.subjectFracture
dc.subjectImage analysis
dc.subjectParallax measurements
dc.subjectQuantitative fractography
dc.subjectAlgorithms
dc.subjectCorrelation methods
dc.subjectGraphical user interfaces
dc.subjectImage reconstruction
dc.subjectSurface measurement
dc.subjectAutomatic parallax measurements
dc.subjectFractography
dc.subjectalgorithm
dc.subjectfourier analysis
dc.subjectgeometry
dc.subjectimage analysis
dc.subjectimage reconstruction
dc.subjectintermethod comparison
dc.subjectmathematical analysis
dc.subjectmathematical model
dc.subjectmeasurement
dc.subjectpriority journal
dc.subjectscanning electron microscopy
dc.subjectthree dimensional imaging
dc.subjectAlloys
dc.subjectAluminum
dc.subjectChemistry, Physical
dc.subjectImage Processing, Computer-Assisted
dc.subjectMicrocomputers
dc.subjectMicroscopy, Electron, Scanning
dc.subjectSoftware
dc.titleThree-dimensional reconstruction of fracture surfaces: Area matching algorithms for automatic parallax measurements
dc.typeOtro


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