图像与模式的计算机分析

图像与模式的计算机分析
作 者: Wladyslaw Skarbek
出版社: 湖南文艺出版社
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作者简介

暂缺《图像与模式的计算机分析》作者简介

内容简介

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.).

图书目录

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 Information

Image 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 Redesign

Pattern 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 Classification

Medical Imaging

Motion Analysis

Augmented Reality

Image Analysis

Computer Vision

Author Index