基于勢最大化的紋理分析方法
TEXTURE ANALYSIS BASED ON MAXIMUM POTENTIAL
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摘要: 勢是吉布斯隨機(jī)場中的重要概念,本文提出了一種基于勢最大化的紋理分析方法,并通過實(shí)驗(yàn)證實(shí)了這種方法的有效性。
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關(guān)鍵詞:
- 紋理; 吉布斯隨機(jī)場; 勢
Abstract: Potential is an important conception in Gibbs random field (GRF) model. In this paper, an approach for texture analysis based on maximum potential is presented. Experimental results prove that this approach can be an effective means for texture analysis. -
Acuna C O. Texture modeling using Gibbs distributions[J].Graphic Models Image Processing.1992,54(3):210-222[2]Nguyen H H, Cohem P. Clustering and the unsupervised segmentation of texture image[J].Graphic ModelsImage Processing.1993, 55(1):1-19[3]Gurelli M I, Onural L. A parameter estimation method for Gibbs-Markov random field. IEEE Trans. on PAMI, 1994, PAMI-16(4): 424-430.[4]Levitan E, Chan M, Herman G T. Image modeling Gibbs priors[J].Graphic ModelsImage Processing.1995, 57(2):117-130 -
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