Image Fusion Using Transform Algorithms with Segmentation 許文豪、劉仁俊 ; 鍾翼能
E-mail: [email protected]
ABSTRACT
Image fusion has wide areas of applications, such as computer-aided piloting system, medical imaging, reconstruction of defocused images, and safety inspection. The importance is gaining popularity. A good fused image is obtained by finding the important features of the source images and combining them appropriately. The suitable fusion algorithms might be different for different sources of sensors. For defocused images, edge detection is used for preprocessing. Hence the important features and regions with apparent activity are extracted. Transforms are performed on the regions that contain less variation. Coefficients can then be extracted and fused. The reconstructed image can be obtained by applying an inverse transform. For computer-aided piloting system and medical imaging, redundant wavelet transform is applied and local energy feature is then selected. The main concern is to discriminate features in brightness variation. In such way, the fused image clearly explains the features in the source images. The effectiveness and performance will be demonstrated in the simulation results.
Keywords : image fusion ; edge detection ; DCT ; DWT ; RWT
Table of Contents
封面內頁 簽名頁 博碩士論文授權書...iii 中文摘要...iv 英文摘要...v 誌謝...vi 目錄...vii 圖目錄...ix 表目
錄...xi 第一章 緒論 1.1 研究背景...1 1.2 研究目的...2 1.3 研究 內...3 1.4 論文架...5 第二章 影像分割 2.1 前言...6 2.2 邊界法之影 像分割...7 2.3 臨界值法之四分樹影像分割...8 2.4 四分樹影像分割之智慧型選擇...11 第三章 離 散餘弦轉換和離散小波轉換 3.1 前言...14 3.2 離散小波轉換...15 3.3 離散餘弦轉
換...18 第四章 影像合成法 4.1 影像合成方法簡介... 22 4.2 醫學影像及航空輔助...24 4.3 來源失焦模糊的影像...33 第五章 模擬結果與分析 5.1 效果評量方法...39 5.2 來源失焦影像模 擬測試結果和合成圖...40 5.3 醫學與航空輔助影像模擬合成圖與分析...48 第六章 結論與未來展望 6.1 結
論...54 6.2 未來展望...56 參考文獻...57 REFERENCES
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