Rotation and Scaling Invariant Parameters of Textured Images and Its Applications
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概要
- 論文の詳細を見る
This paper presents a simple and efficient method for estimation of parameters useful for textured image analysis. On the basis of a 2-D Wold-like decomposition of homogenenous random fields, the texture field can be decomposed into a sum of two mutually orthogonal components : a deterministic component and an indeterministic component. The spectral density function (SDF) of the former is a sum of 1-D or 2-D delta functions. The 2-D autocorrelation function (ACF) of the latter is fitted to the assumed anisotropic ACF that has an elliptical contour. The parameters representing the ellipse and those representing the delta functions can be used to detect rotation angles and scaling factors of test textures. Specially, rotation and scaling invariant parameters, which are applicable to the classification of rotated and scaled textured images, can be estimated by combining these parameters. That is, a test texture can be correctly classified even if it is rotated and scaled. Several computer experiments on natural textures show the effectiveness of this method.
- 社団法人電子情報通信学会の論文
- 1995-08-25
著者
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YOSHIDA Yasuo
Department of Applied Quantum Physics, Kyushu University
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WU Yue
Department of Chemistry, University of Science and Technology of China
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Wu Yue
Department Of Chemistry University Of Science And Technology Of China
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Wu Y
Saitama Univ. Saitama
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Wu Y
Xidian Univ. Xian Chn
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Yoshida Yasuo
Department Of Applied Quantum Physics Faculty Of Engineering Kyushu University
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Yoshida Yasuo
Department Of Electronics And Informetion Science Kyoto Institute Of Technology
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