最 低 价：￥955.98
定 价：￥1062.20
作 者：Aurelio Campilho，Moharnde Kamed 著
出 版 社：湖南文艺出版社
出版时间：2006 年12月
I S B N：9783540448914
| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.). |
| invited session self-organizing trees and forests: a powerful tool in pattern clustering and recognition on optimizing dissimilarity-based classification using prototype reduction schemes image restoration and enhancement general adaptive and segmentation neighborhood image restoration, enhancement yann gavet, jean-charles pinoli frozen-state hierarchical annealing fast and robust filtering-based image magnification an efficient post-processing using dct domain projections onto convex setsrank-ordered differences statistic based switching vector filter mathematical analysis of "phase ramping" for super-resolution magnetic resonance imaging blind blur estimation using low rank approximation of cepstrum an image interpolation scheme for repetitive structures a discontinuous finite eleinent method for image denoising fuzzy bilateral filtering for color images mpeg postprocessing system using edge signal variable filter computational framework for family of order statistic filters for tensor valued data gaussian noise removal by color morphology and polar color models image segmentation . a shape-based approach to robust image segmentation novel statistical approaches to the quantitative combination of multiple edge detectors bio-inspired motion-based object segmentation an effective and fast scene change detection algorithm for mpeg compressed videos automatic segmentation and graph-cuts accurate contour detection based on snakes for objects with boundary concavities graph-based spatio-temporal region extraction performance evaluation of image segmentation improvement of image transform calculation based on a weighted primitive …… image and video processing and aualysis inage and video coting and encrtypton image retrleveal and indefing motion aralysis tracking author index |
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