文章基本信息

标题：A Measure of Pattern Trends on Various Types of Preprocessed Textures
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作者：V. Vijaya Kumar ; B. Eswara Reddy ; U.S.N.Raju 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2007
卷号：7
期号：8
页码：253-257
出版社：International Journal of Computer Science and Network Security
摘要：Study of different patterns on a local neighborhood of a texture plays an important role in characterization, and classification of the textures. Many preprocessing steps are used in the generation of textures for a better quality. The present paper studies how the percentage of occurrence factor of a typical pattern varies after applying various local preprocessing steps. For this eight simple patterns are chosen on a 3x3 neighborhood. The simple patterns are chosen in such a way that any complex pattern can be formed by grouping one or more of these simple patterns. The pattern occurrence factor of preprocessed images are also compared with the actual texture images, where no preprocessing is applied. The experimental results on thirty brodatz textures indicate good comparison of variation of occurrence in these patterns on different methods of preprocessed steps of the texture.
关键词：Simple-Patterns, Local pre-processing Classification, Frequency of occurrence, Complex-Patterns, Characterization