本論文藉由條紋投影的方式提出一套新的Registration 演算法，將數張低解
析度的影像融合成一張高取樣點、高解析度的影像。相對於現有的影像融合技術，
本論文所提供的方法具有更多的優點，諸如：(1)高精確值；(2)低演算成本；(3)
系統架構簡單；(4)具備自動化處理的可行性。以本論文設備為例，用三台CCD 擷
取的圖像合成銳化之後解析度提高了2.72 倍。

In this paper, we propose an image registration algorithm to form a set of images to
a high-resolution image. This algorithm employs a fringe projected scheme to perform
the registration. The proposed algorithm provides several advantages, such as high
precision, low computation cost, simple system configuration and robotic performance.
An example which used three images to form a hight-resolution image was given. It was
found that the resolution had enhanced 2.72 times.

論文審定書…………………………………………………………………………………………………… i
致謝………………………………………………………………………………………………………………… iii
中文摘要………………………………………………………………………………………………………… iv
英文摘要………………………………………………………………………………………………………… v
目錄………………………………………………………………………………………………………………… vi
圖目錄……………………………………………………………………………………………………………… viii
第一章 緒論
1.1 前言…………………………………………………………………………………………………… 1
1.2 歷史發展………………………………………………………………………………………… 2
1.3 動機目的………………………………………………………………………………………… 3
1.4 論文架構………………………………………………………………………………………… 4
第二章 原理介紹
2.1 簡介…………………………………………………………………………………………………… 5
2.2 相位量測法……………………………………………………………………………………… 6
2.3 相位展開演算法…………………………………………………………………………… 10
第三章 系統架構與原理
3.1 實驗架構………………………………………………………………………………………… 12
3.2 利用相位資訊進行Registration之演算法……………………………… 14
3.3 影像融合………………………………………………………………………………………… 20
3.4 銳化分析………………………………………………………………………………………… 21
第四章 實驗與結果
4.1 低解析度影像製作………………………………………………………………………… 24
4.2 實驗結果………………………………………………………………………………………… 33
第五章 結論………………………………………………………………………………………………… 37
參考文獻……………………………………………………………………………………………………… 38

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