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研究生:IRMAWULANDARI
研究生(外文):IRMAWULANDARI
論文名稱:Image Fusion Using the Scale Invariant Feature TRansform as Image Registration
論文名稱(外文):Image Fusion Using the Scale Invariant Feature TRansform as Image Registration
指導教授:Shih-Hsuan Yang
指導教授(外文):Shih-Hsuan Yang
口試日期:2012-01-10
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:資訊工程系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:47
中文關鍵詞:Image FusionSIFT(Scale Invariant Feature Transform)Image Registration
外文關鍵詞:Image FusionSIFT(Scale Invariant Feature Transform)Image Registration
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Image fusion is the process of combining two or more images into a single image, which retains important features from each. Image fusion is one way to resolve the problem of un-focused images produced by non-professional camera users. Image fusion can be also used in remote sensing, robotics and medical application. In this thesis, a new image fusion technique for multi-focus images based on the SIFT (Scale Invariant Feature Transform) is proposed. The fusion procedure is performed by matching the image features of SIFT and then fusing two images by averaging that firstly decomposed using Discrete Wavelet Transform. Conditional sharpening is applied to get images better of quality. Experimental results show well in multi-focus image fusion.

Image fusion is the process of combining two or more images into a single image, which retains important features from each. Image fusion is one way to resolve the problem of un-focused images produced by non-professional camera users. Image fusion can be also used in remote sensing, robotics and medical application. In this thesis, a new image fusion technique for multi-focus images based on the SIFT (Scale Invariant Feature Transform) is proposed. The fusion procedure is performed by matching the image features of SIFT and then fusing two images by averaging that firstly decomposed using Discrete Wavelet Transform. Conditional sharpening is applied to get images better of quality. Experimental results show well in multi-focus image fusion.



ABSTRACT.......................................................................................................................i
Acknowledgement...........................................................................................................iii
Table of Contents.............................................................................................................iv
List of Tables...................................................................................................................vi
List of Figures................................................................................................................viii
Chapter 1 INTRODUCTION.........................................................................................1
1.1 Motivation.........................................................................................................1
1.2 Organization of The Thesis...............................................................................2
Chapter 2 LITERATURE SURVEY.............................................................................3
2.1 Image Registration …………………………………………………..………..3
2.1.1 SIFT ……………………………………………………………………..5
2.1.2 Image Matching ………………………………………………..………15
2.2 Image Fusion ………………………………………………………….…….18
2.2.1 Pixel Based Methods …………………………………………..………19
2.2.2 Discrete Wavelet Transform …………………………………..……….21
2.3 Image Fusion Quality Measurement …………………………………......…25
Chapter 3 PROPOSED METDHOS…………………………………………...…….27
3.1 Image Feature with SIFT ……………………………………………………30
3.2 Image Matching ………………………………………………………..……32
3.3 Image Fusion….…………………………………………………….……….34
Chapter 4 EXPERIMENTAL RESULTS………………………………………....…36
4.1 Multi-focus Image Fusion with Right Focus and Left Focus ………...….....36
4.2 Multi-focus Image Fusion with Front Focus and Back Focus ….…...……...38
4.3 Multi-focus Image Fusion with Shift…….. ………………………….……..39
4.4 Multi-focus Image Fusion with Rotation...….………………...……….……40
4.5 Quality Measurement of Image Fusion ……………………………..……….41
4.6 Evaluation of Complexity ……………………………….…………....……..43
Chapter 5 CONCLUSION ……………………………………………………...…...44

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