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：11
页码：221-225
出版社：International Journal of Computer Science and Network Security
摘要：The objective of the present paper is to obtain an accurate classification of the textures, which did not introduce undesired merging and to develop a quick, effective and novel algorithm that should be easy to understand and implement. For this the present study advocates a new statistical method based on edge direction movement for classification of textures on the opening of the image. An edge is a property attached to an individual pixel and is calculated from the image function behavior in a neighborhood of that pixel. Based on this assumption the present study calculated the frequencies of Horizontal, Vertical, Right and Left diagonal patterns on edge direction movement for classification of textures. The experimental results on groups and samples of Brodatz textures show validity of the present method.
关键词：Opening, Horizontal Patterns, Vertical Patterns, Right Diagonal Pattern, Left Diagonal Patterns
