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作者机构:Univ Glasgow IBLS Div Neurosci & Biomed Syst Glasgow G12 8QQ Lanark Scotland Univ Glasgow Dept Stat Glasgow G12 8QQ Lanark Scotland
出 版 物:《ELECTRONICS LETTERS》 (电子学快报)
年 卷 期:2000年第36卷第1期
页 面:26-27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:Mathematics computing Information retrieval techniques statistical properties SAR models coarseness content-based image retrieval technique synthesised images irregular neighbour sets underlying texture orientations magnetic material image synthesis realistic synthetic image generation surface texture Probability and statistics content-based retrieval magnetic materials Computer vision and image processing techniques statistical analysis
摘 要:The application of SAR models to the synthesis of magnetic material images is presented. The effects of the structure of neighbour sets on the statistical properties of synthesised images are investigated. Supported by the content-based image retrieval technique, the work demonstrates that using a neighbour set with its shape corresponding to the orientations and coarseness of the underlying texture allows the generation of realistic synthetic images.