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題 名 | Self-Similar Texture Characterization Using Wavelet Generated Multi-Resolution Gaussion Markov Random Fields=應用「波形多層高斯馬可夫隨機場域」於自我相似紋路之特徵分析 |
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作 者 | 溫哲彥; | 書刊名 | 弘光學報 |
卷 期 | 30 1997.10[民86.10] |
頁 次 | 頁145-159 |
分類號 | 312.1 |
關鍵詞 | 高斯馬可夫隨機場域; 碎形布朗運動; Gaussian Markov random fields; Wavelets; Fractional Brownian motion; |
語 文 | 英文(English) |
中文摘要 | “高斯馬可夫隨機場域”已成功地被用來分析紋路。然而,對於“自我相似紋路”,它的分析效果並不理想。在本文中,我們使用“波形表示法”與“高斯馬可夫隨機場域”來分析與分類自我相似紋路,並且,我們較明“碎形布朗運動”之“差異訊號”走“靜態(stationary)的”,且其“乎均值(mean)”是零。 |
英文摘要 | Gaussian Markov Random Fields (GMRF) have been successfully used to model textures. However, they do not provide the best results for classifying self-similar textures. In this paper, we model self-similar textures using a wavelet representation. We show that the detail signal of a Fractional Brownian Motion (FBM) is zero mean stationary. The detail signal of the self-similar texture is modeled as a Gaussian Markov Random Field. Texture classification is performed using the parameters of the Gaussian Markov Random Field of the detail signal. |
本系統中英文摘要資訊取自各篇刊載內容。