Neighbourhood structure estimation of images using hierarchical testing

作     者：Zimeras, S Aykroyd, RG 

作者机构：INRIA IRISA F-35042 Rennes France Univ Leeds Dept Stat Leeds LS2 9JT W Yorkshire England 

出 版 物：《ELECTRONICS LETTERS》 (电子学快报)

年 卷 期：1999年第35卷第25期

页      面：2188-2189页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Image and video coding simulated data model parameters Probability theory, stochastic processes, and statistics image coding Computational complexity image neighbourhood structure neighbourhood structure estimation likelihood techniques computational complexity Probability and statistics hierarchical testing Image processing and restoration model selection procedure Computer vision and image processing techniques statistical analysis 

摘      要：Methods for estimating model parameters using likelihood techniques are examined and a model selection procedure is proposed for classifying the neighbourhood structure of the image. The techniques are investigated using simulated data.