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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-004.mrc:249014606:5095
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-004.mrc:249014606:5095?format=raw

LEADER: 05095mam a2200373 a 4500
001 1693398
005 20220608213227.0
008 950918t19951995waua b 101 0 eng d
010 $a 95068583
020 $a0819419273
035 $a(OCoLC)ocm33144607
035 $9AKZ1439CU
035 $a1693398
040 $aLHL$cLHL$dOrLoB
245 00 $aNeural, morphological, and stochastic methods in image and signal processing :$b10-11 July, 1995, San Diego, California /$cEdward R. Dougherty [and others], chairs/editors ; sponsored and published by SPIE--the International Society for Optical Engineering.
260 $aBellingham, Wash., USA :$bSPIE,$c[1995], ©1995.
300 $avii, 304 pages :$billustrations ;$c28 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aProceedings / SPIE--the International Society for Optical Engineering ;$vv. 2568
504 $aIncludes bibliographic references and author index.
505 20 $tHierarchical Markov random field models applied to image analysis: a review /$rC. Graffigne, F. Heitz, P. Perez, F. Preteux, M. Sigelle and J. Zerubia --$tNoncausal predictive image coding /$rP. Zhou --$tMultiresolution Markov random field and multigrid algorithm for a discontinuity-preserving estimation of the optical flow /$rE. Memin and P. Perez --$tHierarchical statistical models for the fusion of multiresolution image data /$rJ.-M. Laferte, F. Heitz, P. Perez and E. Fabre --$tHierarchical method for the detection of moving objects in a sequence of images /$rW. Xiong and C. Graffigne --$tCharacterization of translation-invariant elementary operators for gray-level morphology /$rG. J. F. Banon --$tComputational representation of increasing lattice-valued image operators /$rD. Sinha and E. R. Dougherty --$tTiling and demand-driven evaluation for picture processing /$rP. J. Horain and V. Dogaru --$tValuation of image extrema using alternating filters by reconstruction /$rC. Vachier --
505 80 $tSelf-consistent mathematical morphological filter for removing cirrus noise from far-infrared astronomical images /$rL. X. He, J. P. Basart, P. N. Appleton and J. Pedelty --$tNew results on optimality and consistency of morphological openings and closings /$rN. D. Sidiropoulos, J. S. Baras and C. A. Berenstein --$tOptimal morphological peak classification /$rE. R. Dougherty and Y. Chen --$tGranulometric estimation of shape parameters /$rS. Batman and E. R. Dougherty --$tMathematical morphology tools for 3D image analysis of porous media /$rU. M. Braga Neto and R. A. Lotufo --$tGeometric Maxwell equations and the structure of diffusive scale spaces /$rN. F. Rougon and F. Preteux --$tSimultaneous restoration and segmentation using cluster approximations to Markov random fields /$rC. Wu and P. C. Doerschuk --$tReconstruction of viruses from solution x-ray scattering data /$rY. Zheng, P. C. Doerschuk and J. E. Johnson --
505 80 $tVLSI implementable parallel stochastic learning algorithm /$rL. V. Ruiz and A. S. Pandya --$tTexture analysis using genetic algorithms and partially ordered Markov models /$rJ. L. Davidson, X. Hua and D. Ashlock --$tConvergence of unsupervised image segmentation algorithms /$rC. S. Won --$tAdaptive Markovian model for 3D x-ray vascular reconstruction /$rE. Payot, F. Preteux, R. Guillemaud and Y. L. Trousset --$tAutomatic programming of binary morphological machines by PAC learning /$rJ. Barrera, N. S. Tomita, F. S. Correa da Silva and R. Terada --$tGeneralized method of moments for shape distribution in random images /$rF. Sand --$tHigh-order neural networks for image recognition /$rO. A. Uwechue, A. S. Pandya and P. Szabo --$tNeural networks with cellular atrophy for geometric database classifications /$rD. L. Ali --$tNeural network architecture for fault diagnosis of digital circuits /$rS. Barua --
505 80 $tNonlinear spectral extrapolation: new results and application to spatial and medical imaging /$rB. Rouge and A. Seghier --$tFast analog associative memory /$rJ. M. Kinser --$tMathematical morphology and higher-order neural networks /$rS. Skoneczny, J. Szostakowski, A. Stajniak and W. Zydanowicz.
650 0 $aImage processing$xDigital techniques$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008104266
650 0 $aSignal processing$xDigital techniques$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008111654
650 0 $aStochastic processes$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008112218
650 0 $aNeural networks (Computer science)$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008108385
650 0 $aComputer vision$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008101162
700 1 $aDougherty, Edward R.$0http://id.loc.gov/authorities/names/n86079221
710 2 $aSociety of Photo-optical Instrumentation Engineers.$0http://id.loc.gov/authorities/names/n78088934
830 0 $aProceedings of SPIE--the International Society for Optical Engineering ;$vv. 2568.$0http://id.loc.gov/authorities/names/n42030541
852 00 $boff,eng$hTA1632$i.N475 1995g