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dc.contributorPo-Whei Huangen_US
dc.contributor.authorLiao, Chih-Yuanen_US
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dc.description.abstract在生物研究上有著重要貢獻的綠色螢光蛋白(Green Fluorescent Protein,簡稱GFP)與提供良好的精細結構的相位襯度的圖像(Phase Contrast image),結合這兩者,可以補強在綠色螢光蛋白圖片上較少的區域資料及結構資料,幫助觀察者更容易得到所要觀察分析的資料。 本論文提出雙重多尺度雙向濾波器的想法。先在YCbCr色彩空間利用多尺度的雙向濾波器將兩者融合,得到一張有著顏色資訊及結構資訊的暫存圖。再將此圖當作是原始的螢光圖來與結構圖在IHS色彩空間進行再一次的多尺度雙向濾波器的融合。除了消除掉原有的雜訊外,更將結構的資訊充分的與螢光圖融合。 實驗的結果與數據也證明本論文的方法比其他的融合方法來的有效。zh_TW
dc.description.abstractGreen Fluorescent Protein, GFP, has great contribution to biological study. With phase contrast image provide detail structure information, the biological image fusion help a lot in protein study. In this paper, we provide a new idea to fuse these two images which the GFP image provide the color information and phase contrast image provide the local and structure information.We first apply a Multi-scale bilateral filter (MSBF) fusion in YCbCr domain with GFP image and contrast image and get a transit image. The transit image then use as the GFP image with the phase contrast image again. After apply the second time’s MSBF in IHS domain, we can get an well-fused image with color information and fine structure information. The experiment and result shows that our idea is better than other fusion method.en_US
dc.description.tableofcontents第一章、緒論 1 1.1 動機、背景與研究目標 1 1.2 論文架構 2 第二章、文獻探討 3 2.1 IHS 影像融合法Intensity-Hue-Saturation(IHS) 3 2.2 主成分分析法(PCA) 7 2.3 非抽樣式輪廓式轉換影像融合法(NonSubsampled Contourlet Transform, NSCT) 8 第三章、雙重雙向濾波器融合法 12 3.1 雙向濾波器(Bilateral Filter, BF) 12 3.2 多尺度雙向濾波器(Multi-Scale Bilateral Filter, MSBF) 15 3.3 IHS domain多尺度雙向濾波器影像融合法 19 3.4 YCbCr domain多尺度雙向濾波器影像融合法 22 3.5 雙重多尺度雙向濾波器影像融合法 24 第四章、實驗結果與分析 26 4.1 評比方法 26 4.2 實驗設計 27 4.3 融合結果 28 4.4 融合圖比較數據 31 第五章、結論與未來研究 33 參考文獻 34zh_TW
dc.subjectGreen Fluorescent Protein (GFP)en_US
dc.subjectPhase contrasten_US
dc.subjectMulti-Scale Bilateral Filter (MSBF)en_US
dc.titleBiological Image Fusion Using Multi-scale Bilateral Filtering Methoden_US
dc.typeThesis and Dissertationzh_TW
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