图像与模式的计算机分析Computer analysis of images and patterns

出版时间：2001-12  出版社：1 edition (2001年10月1日)  作者：Wladyslaw Skarbek  页数：743  

内容概要

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 research 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 published traditionally includes.    —proceedings （published in time for the respective conference）    —post-proceedings （consisting of thoroughly revised final full papers）    —research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）.

书籍目录

Image Indexing (MPEG-7)　MPEG-7: Evolution or Revolution?　The MPEG-7 Visual Description Framework - Concepts, Accuracy, and Applications　MPEG-7 Color Descriptors and Their Applications　Texture Descriptors in MPEG-7　An Overview of MPEG-7 Motion Descriptors and Their Applications　MPEG-7 MDS Content Description Tools and Applications　Image Retrieval Using Spatial Color InformationImage Compression　Lifting-Based Reversible Transforms for Lossy-to-Lossless Wavelet Codecs.　Coding of Irregular Image Regions by SA DFT　Fast PNN Using Partial Distortion Search　Near-Lossless Color Image Compression with No Error Accumulation in Multiple Coding Cycles　Hybrid Lossless Coder of Medical Images with Statistical Data Modelling 　A Simple Algorithm for Ordering and Compression of Vector Codebooks　MPEG 2-Based Video Coding with Three-Layer Mixed Scalability　The Coefficient Based Rate Distortion Model for the Low Bit Rate Video Coding　Shape-Adaptive DCT Algorithm - Hardware Optimized RedesignPattern Recognition Superquadric-Based Object Recognition　Weighted Graph-Matching Using Modal Clusters　Discovering Shape Categories by Clustering Shock Trees　Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding　A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians　Diophantine Approximations of Algebraic Irrationalities and Stability Theorems for Polynomial Decision Rules　Features Invariant Simultaneously to Convolution and Affine Transformation　A Technique for Segmentation of Gurmukhi Text　Efficient Computation of Body Moments　Genetic Programming with Local Improvement for Visual Learning from Examples　Improved Recognition of Spectrally Mixed Land Cover Classes　Using Spatial Textures and Voting Classifications  Texture Feature Extraction and ClassificationMedical ImagingMotion AnalysisAugmented RealityImage AnalysisComputer VisionAuthor Index